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En-Hong Chen
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- affiliation: University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
- affiliation: University of Science and Technology of China, School of Data Science, Hefei, China
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2020 – today
- 2024
[j221]Yongzhang Wang, Defu Lian, Enhong Chen:
Event Assignment Based on KBQA for Government Service Hotlines. Appl. Artif. Intell. 38(1) (2024)- [j220]Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang
, Weibo Gao, Enhong Chen:
Understanding and improving fairness in cognitive diagnosis. Sci. China Inf. Sci. 67(5) (2024) - [j219]Yihang Lu, Xianwei Meng, Liqun Peng, Shucai Xu, Enhong Chen:
IODRNN - Incremental output decomposition for a valid traffic flow prediction with GNSS data. Eng. Appl. Artif. Intell. 128: 107520 (2024) - [j218]Mingyue Cheng, Qi Liu, Wenyu Zhang, Zhiding Liu, Hongke Zhao, Enhong Chen:
A general tail item representation enhancement framework for sequential recommendation. Frontiers Comput. Sci. 18(6): 186333 (2024) - [j217]Lixiang Xu, Qingzhe Cui, Wei Xu, Enhong Chen, He Tong, Yuanyan Tang:
Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis. Inf. Fusion 103: 102131 (2024) - [j216]Bin Feng, Shulan Ruan, Likang Wu, Huijie Liu, Kai Zhang, Kun Zhang, Qi Liu, Enhong Chen:
Caption matters: a new perspective for knowledge-based visual question answering. Knowl. Inf. Syst. 66(11): 6975-7003 (2024) - [j215]Suojuan Zhang, Jie Pu, Jing Cui, Shuanghong Shen, Weiwei Chen, Kun Hu, Enhong Chen:
MLC-DKT: A multi-layer context-aware deep knowledge tracing model. Knowl. Based Syst. 303: 112384 (2024) - [j214]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4443-4459 (2024) - [j213]Sirui Zhao, Huaying Tang, Xinglong Mao, Shifeng Liu, Yiming Zhang, Hao Wang, Tong Xu, Enhong Chen:
DFME: A New Benchmark for Dynamic Facial Micro-Expression Recognition. IEEE Trans. Affect. Comput. 15(3): 1371-1386 (2024) - [j212]Han Wu, Guanqi Zhu, Qi Liu, Hengshu Zhu, Hao Wang, Hongke Zhao, Chuanren Liu, Enhong Chen, Hui Xiong:
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction. IEEE Trans. Big Data 10(1): 35-54 (2024) - [j211]Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen:
Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective. IEEE Trans. Comput. Soc. Syst. 11(1): 1205-1215 (2024) - [j210]Weihao Zhao, Han Wu, Weidong He, Haoyang Bi, Hao Wang, Chen Zhu, Tong Xu, Enhong Chen:
Hierarchical Multi-Modal Attention Network for Time-Sync Comment Video Recommendation. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2694-2705 (2024) - [j209]Penggang Qin, Shiwei Wu, Tong Xu, Yanbin Hao, Fuli Feng, Chen Zhu, Enhong Chen:
When I Fall in Love: Capturing Video-Oriented Social Relationship Evolution via Attentive GNN. IEEE Trans. Circuits Syst. Video Technol. 34(6): 5160-5175 (2024) - [j208]Weidong He, Zhi Li, Hao Wang, Tong Xu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements. ACM Trans. Intell. Syst. Technol. 15(3): 45:1-45:25 (2024) - [j207]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen:
Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data 18(7): 169 (2024) - [j206]Lixiang Xu, Zhanlong Wang, Suojuan Zhang, Xin Yuan, Minjuan Wang, Enhong Chen:
Modeling Student Performance Using Feature Crosses Information for Knowledge Tracing. IEEE Trans. Learn. Technol. 17: 1390-1403 (2024) - [j205]Shuanghong Shen, Qi Liu, Zhenya Huang, Yonghe Zheng, Minghao Yin, Minjuan Wang, Enhong Chen:
A Survey of Knowledge Tracing: Models, Variants, and Applications. IEEE Trans. Learn. Technol. 17: 1898-1919 (2024) - [j204]Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen:
Color Enhanced Cross Correlation Net for Image Sentiment Analysis. IEEE Trans. Multim. 26: 4097-4109 (2024) - [j203]Lixiang Xu, Qingzhe Cui, Richang Hong, Wei Xu, Enhong Chen, Xin Yuan, Chenglong Li, Yuanyan Tang:
Group Multi-View Transformer for 3D Shape Analysis With Spatial Encoding. IEEE Trans. Multim. 26: 9450-9463 (2024) - [j202]Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Defu Lian, Xin Li, Hao Wang:
Learning Relation-Enhanced Hierarchical Solver for Math Word Problems. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13830-13844 (2024) - [j201]Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14889-14902 (2024) - [j200]Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong:
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System. ACM Trans. Inf. Syst. 42(2): 56:1-56:32 (2024) - [j199]Rui Zha, Ying Sun, Chuan Qin, Le Zhang, Tong Xu, Hengshu Zhu, Enhong Chen:
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph. ACM Trans. Inf. Syst. 42(4): 110:1-110:28 (2024) - [j198]Yuanjie Lyu, Penggang Qin, Tong Xu, Chen Zhu, Enhong Chen:
InteractNet: Social Interaction Recognition for Semantic-rich Videos. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 240:1-240:21 (2024) - [j197]Chuang Zhao, Hongke Zhao, Hengshu Zhu, Zhenya Huang, Nan Feng, Enhong Chen, Hui Xiong:
Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5283-5295 (2024) - [j196]Pengfei Luo, Xi Zhu, Tong Xu, Yi Zheng, Enhong Chen:
Semantic Interaction Matching Network for Few-Shot Knowledge Graph Completion. ACM Trans. Web 18(2): 20:1-20:19 (2024) - [j195]Yanmin Chen, Enhong Chen, Kun Zhang, Qi Liu, Ruijun Sun:
A relation-aware representation approach for the question matching system. World Wide Web (WWW) 27(2): 17 (2024) - [j194]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen:
When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web (WWW) 27(4): 42 (2024) - [j193]Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen:
A survey on large language models for recommendation. World Wide Web (WWW) 27(5): 60 (2024) - [c451]Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen:
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. AAAI 2024: 9178-9186 - [c450]Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen:
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. AAAI 2024: 20596-20603 - [c449]Keyu Ding, Yongcan Wang, Zihang Xu, Zhenzhen Jia, Enhong Chen:
Generative Input: Towards Next-Generation Input Methods Paradigm. ACL (Findings) 2024: 3658-3669 - [c448]Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen:
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization. ACL (Findings) 2024: 9851-9862 - [c447]Xinhang Li, Jingbo Zhou, Wei Chen, Derong Xu, Tong Xu, Enhong Chen:
Visualization Recommendation with Prompt-based Reprogramming of Large Language Models. ACL (1) 2024: 13250-13262 - [c446]Liu Che, Tong Xu, Qi Liu, Zhi Zheng, Jingyu Peng, Enhong Chen:
MERGE: Multi-view Relationship Graph Network for Event-Driven Stock Movement Prediction. APWeb/WAIM (3) 2024: 224-239 - [c445]Weihao Zhao, Weidong He, Hao Wang, Haoyang Bi, Han Wu, Chen Zhu, Tong Xu, Enhong Chen:
MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction. LREC/COLING 2024: 11680-11691 - [c444]Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. LREC/COLING 2024: 11956-11968 - [c443]Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen:
Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. ICASSP 2024: 10001-10005 - [c442]Rui Zha, Le Zhang, Shuangli Li, Jingbo Zhou, Tong Xu, Hui Xiong, Enhong Chen:
Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations. ICDE 2024: 667-678 - [c441]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen, Jingyun Zhang:
Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts. ICIC (LNAI 4) 2024: 459-470 - [c440]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen:
Locating and Mitigating Gender Bias in Large Language Models. ICIC (LNAI 4) 2024: 471-482 - [c439]Shifeng Liu, Xinglong Mao, Sirui Zhao, Chaoyou Fu, Ying Yu, Tong Xu, Enhong Chen:
TGMAE: Self-supervised Micro-Expression Recognition with Temporal Gaussian Masked Autoencoder. ICME 2024: 1-6 - [c438]Zihan Niu, Zheyong Xie, Tong Xu, Xiangfeng Wang, Yao Hu, Ying Yu, Enhong Chen:
Knowledge-Enhanced Multi-perspective Incongruity Perception Network for Multimodal Sarcasm Detection. ICME 2024: 1-6 - [c437]Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen:
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. ICML 2024 - [c436]Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen:
A Unified Adaptive Testing System Enabled by Hierarchical Structure Search. ICML 2024 - [c435]Yan Gao, Tong Xu, Enhong Chen:
Are Mixture-of-Modality-Experts Transformers Robust to Missing Modality During Training and Inferring? Intelligent Information Processing (1) 2024: 157-172 - [c434]Yuren Zhang, Min Hou, Kai Zhang, Yuqing Yuan, Chao Song, Zhihao Ye, Enhong Chen, Yang Yu:
Pre-training General User Representation with Multi-type APP Behaviors. IJCAI 2024: 5535-5544 - [c433]Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen:
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. IJCAI 2024: 6559-6568 - [c432]Fake Lin, Ziwei Zhao, Xi Zhu, Da Zhang, Shitian Shen, Xueying Li, Tong Xu, Suojuan Zhang, Enhong Chen:
When Box Meets Graph Neural Network in Tag-aware Recommendation. KDD 2024: 1770-1780 - [c431]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen:
Dataset Regeneration for Sequential Recommendation. KDD 2024: 3954-3965 - [c430]Chenxiao Liu, Zheyong Xie, Sirui Zhao, Jin Zhou, Tong Xu, Minglei Li, Enhong Chen:
Speak From Heart: An Emotion-Guided LLM-Based Multimodal Method for Emotional Dialogue Generation. ICMR 2024: 533-542 - [c429]Liyang He, Zhenya Huang, Chenglong Liu, Rui Li, Runze Wu, Qi Liu, Enhong Chen:
One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network. ACM Multimedia 2024: 7162-7171 - [c428]Pengfei Luo, Tong Xu, Che Liu, Suojuan Zhang, Linli Xu, Minglei Li, Enhong Chen:
Bridging Gaps in Content and Knowledge for Multimodal Entity Linking. ACM Multimedia 2024: 9311-9320 - [c427]Zhengye Zhang, Sirui Zhao, Xinglong Mao, Shifeng Liu, Hao Wang, Tong Xu, Enhong Chen:
A Multi-scale Feature Learning Network with Optical Flow Correction for Micro- and Macro-expression Spotting. ACM Multimedia 2024: 11497-11502 - [c426]Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang:
Graph-based Student Knowledge Profile for Online Intelligent Education. SDM 2024: 379-387 - [c425]Le Dai, Yu Yin, Enhong Chen, Hui Xiong:
Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification. SIGIR 2024: 2682-2686 - [c424]Zhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen:
GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas. WSDM 2024: 901-910 - [c423]Wenjun Peng, Guiyang Li, Yue Jiang, Zilong Wang, Dan Ou, Xiaoyi Zeng, Derong Xu, Tong Xu, Enhong Chen:
Large Language Model based Long-tail Query Rewriting in Taobao Search. WWW (Companion Volume) 2024: 20-28 - [c422]Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Enhong Chen:
NoteLLM: A Retrievable Large Language Model for Note Recommendation. WWW (Companion Volume) 2024: 170-179 - [c421]Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen:
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. WWW (Companion Volume) 2024: 1035-1038 - [c420]Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang:
Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. WWW 2024: 1395-1406 - [c419]Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen:
A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. WWW 2024: 1986-1997 - [c418]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. WWW 2024: 3297-3306 - [c417]Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang:
Unified Uncertainty Estimation for Cognitive Diagnosis Models. WWW 2024: 3545-3554 - [i187]Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen:
Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. CoRR abs/2401.10070 (2024) - [i186]Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen:
Securing Recommender System via Cooperative Training. CoRR abs/2401.12700 (2024) - [i185]Xiaoxiao Ma, Zhixiang Wei, Yi Jin, Pengyang Ling, Tianle Liu, Ben Wang, Junkang Dai, Huaian Chen, Enhong Chen:
Masked Pre-trained Model Enables Universal Zero-shot Denoiser. CoRR abs/2401.14966 (2024) - [i184]Yuanjie Lyu, Zhiyu Li, Simin Niu, Feiyu Xiong, Bo Tang, Wenjin Wang, Hao Wu, Huanyong Liu, Tong Xu, Enhong Chen:
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models. CoRR abs/2401.17043 (2024) - [i183]Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen:
Understanding the planning of LLM agents: A survey. CoRR abs/2402.02716 (2024) - [i182]Yuxuan Gu, Yi Jin, Ben Wang, Zhixiang Wei, Xiaoxiao Ma, Pengyang Ling, Haoxuan Wang, Huaian Chen, Enhong Chen:
Seed Optimization with Frozen Generator for Superior Zero-shot Low-light Enhancement. CoRR abs/2402.09694 (2024) - [i181]Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, Dacheng Tao, Enhong Chen:
Communication-Efficient Distributed Learning with Local Immediate Error Compensation. CoRR abs/2402.11857 (2024) - [i180]Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen:
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. CoRR abs/2402.16312 (2024) - [i179]Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. CoRR abs/2402.18099 (2024) - [i178]Haoxiang Guan, Jiyan He, Shuxin Zheng, En-Hong Chen, Weiming Zhang, Nenghai Yu:
Towards Generalist Prompting for Large Language Models by Mental Models. CoRR abs/2402.18252 (2024) - [i177]Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Di Wu, Enhong Chen:
NoteLLM: A Retrievable Large Language Model for Note Recommendation. CoRR abs/2403.01744 (2024) - [i176]Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. CoRR abs/2403.01972 (2024) - [i175]Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang:
Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. CoRR abs/2403.06071 (2024) - [i174]Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li:
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. CoRR abs/2403.07623 (2024) - [i173]Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen:
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. CoRR abs/2403.08305 (2024) - [i172]Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen:
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment. CoRR abs/2403.08826 (2024) - [i171]Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen:
A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. CoRR abs/2403.09712 (2024) - [i170]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen:
Editing Knowledge Representation of Language Lodel via Rephrased Prefix Prompts. CoRR abs/2403.14381 (2024) - [i169]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen:
Locating and Mitigating Gender Bias in Large Language Models. CoRR abs/2403.14409 (2024) - [i168]Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang:
Unified Uncertainty Estimation for Cognitive Diagnosis Models. CoRR abs/2403.14676 (2024) - [i167]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. CoRR abs/2403.17603 (2024) - [i166]Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen:
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. CoRR abs/2404.00268 (2024) - [i165]Qi Liu, Yan Zhuang, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen:
Survey of Computerized Adaptive Testing: A Machine Learning Perspective. CoRR abs/2404.00712 (2024) - [i164]Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen:
WESE: Weak Exploration to Strong Exploitation for LLM Agents. CoRR abs/2404.07456 (2024) - [i163]Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen:
Understanding Privacy Risks of Embeddings Induced by Large Language Models. CoRR abs/2404.16587 (2024) - [i162]Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen:
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. CoRR abs/2405.06232 (2024) - [i161]Ziwei Zhao, Fake Lin, Xi Zhu, Zhi Zheng, Tong Xu, Shitian Shen, Xueying Li, Zikai Yin, Enhong Chen:
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation. CoRR abs/2405.07580 (2024) - [i160]Fake Lin, Xi Zhu, Ziwei Zhao, Deqiang Huang, Yu Yu, Xueying Li, Tong Xu, Enhong Chen:
Knowledge Graph Pruning for Recommendation. CoRR abs/2405.11531 (2024) - [i159]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Zhi Li, Sirui Zhao, Defu Lian, Enhong Chen:
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation. CoRR abs/2405.12473 (2024) - [i158]Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Yan Gao, Yao Hu, Enhong Chen:
NoteLLM-2: Multimodal Large Representation Models for Recommendation. CoRR abs/2405.16789 (2024) - [i157]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen:
Dataset Regeneration for Sequential Recommendation. CoRR abs/2405.17795 (2024) - [i156]Runlong Yu, Qixiang Shao, Qi Liu, Huan Liu, Enhong Chen:
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems. CoRR abs/2405.18708 (2024) - [i155]Chaoyou Fu, Yuhan Dai, Yondong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun:
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. CoRR abs/2405.21075 (2024) - [i154]Zhenya Huang, Yuting Ning, Longhu Qin, Shiwei Tong, Shangzi Xue, Tong Xiao, Xin Lin, Jiayu Liu, Qi Liu, Enhong Chen, Shijing Wang:
EduNLP: Towards a Unified and Modularized Library for Educational Resources. CoRR abs/2406.01276 (2024) - [i153]Tingjia Shen, Hao Wang, Jiaqing Zhang, Sirui Zhao, Liangyue Li, Zulong Chen, Defu Lian, Enhong Chen:
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation. CoRR abs/2406.03085 (2024) - [i152]Shiwei Wu, Chao Zhang, Joya Chen, Tong Xu, Likang Wu, Yao Hu, Enhong Chen:
From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition. CoRR abs/2406.08358 (2024) - [i151]Fake Lin, Ziwei Zhao, Xi Zhu, Da Zhang, Shitian Shen, Xueying Li, Tong Xu, Suojuan Zhang, Enhong Chen:
When Box Meets Graph Neural Network in Tag-aware Recommendation. CoRR abs/2406.12020 (2024) - [i150]Xiangfeng Wang, Zaiyi Chen, Zheyong Xie, Tong Xu, Yongyi He, Enhong Chen:
In-Context Former: Lightning-fast Compressing Context for Large Language Model. CoRR abs/2406.13618 (2024) - [i149]Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang, Enhong Chen:
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation. CoRR abs/2406.14979 (2024) - [i148]Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen:
Foundations and Frontiers of Graph Learning Theory. CoRR abs/2407.03125 (2024) - [i147]Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen:
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions. CoRR abs/2407.05458 (2024) - [i146]Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
Entropy Law: The Story Behind Data Compression and LLM Performance. CoRR abs/2407.06645 (2024) - [i145]Ye Liu, Jiajun Zhu, Kai Zhang, Haoyu Tang, Yanghai Zhang, Xukai Liu, Qi Liu, Enhong Chen:
Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection. CoRR abs/2407.08952 (2024) - [i144]Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen:
Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models. CoRR abs/2407.08967 (2024) - [i143]Qi Liu, Yongyi He, Defu Lian, Zhi Zheng, Tong Xu, Liu Che, Enhong Chen:
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. CoRR abs/2407.16160 (2024) - [i142]Haoyu Tang, Ye Liu, Xukai Liu, Kai Zhang, Yanghai Zhang, Qi Liu, Enhong Chen:
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models. CoRR abs/2407.20271 (2024) - [i141]Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen:
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization. CoRR abs/2408.03149 (2024) - [i140]Hong Xie, Jinyu Mo, Defu Lian, Jie Wang, Enhong Chen:
Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities. CoRR abs/2408.10865 (2024) - [i139]Hong Xie, Mingze Zhong, Defu Lian, Zhen Wang, Enhong Chen:
Analytical and Empirical Study of Herding Effects in Recommendation Systems. CoRR abs/2408.10895 (2024) - [i138]Ze Liu, Jin Zhang, Chao Feng, Defu Lian, Jie Wang, Enhong Chen:
Deep Tree-based Retrieval for Efficient Recommendation: Theory and Method. CoRR abs/2408.11345 (2024) - [i137]Hao Wang, Yongqiang Han, Kefan Wang, Kai Cheng, Zhen Wang, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation. CoRR abs/2408.11372 (2024) - [i136]Shiwei Wu, Joya Chen, Kevin Qinghong Lin, Qimeng Wang, Yan Gao, Qianli Xu, Tong Xu, Yao Hu, Enhong Chen, Mike Zheng Shou:
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation. CoRR abs/2408.16730 (2024) - [i135]Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen:
ToolACE: Winning the Points of LLM Function Calling. CoRR abs/2409.00920 (2024) - [i134]Yuanjie Lyu, Tong Xu, Zihan Niu, Bo Peng, Jing Ke, Enhong Chen:
Generating Event-oriented Attribution for Movies via Two-Stage Prefix-Enhanced Multimodal LLM. CoRR abs/2409.09362 (2024) - [i133]Wenjia Xie, Rui Zhou, Hao Wang, Tingjia Shen, Enhong Chen:
Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models. CoRR abs/2409.10522 (2024) - [i132]Yuqing Huang, Rongyang Zhang, Xuesong He, Xuyang Zhi, Hao Wang, Xin Li, Feiyang Xu, Deguang Liu, Huadong Liang, Yi Li, Jian Cui, Zimu Liu, Shijin Wang, Guoping Hu, Guiquan Liu, Qi Liu, Defu Lian, Enhong Chen:
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models. CoRR abs/2409.13989 (2024) - [i131]Li Li, Mingyue Cheng, Zhiding Liu, Hao Zhang, Qi Liu, Enhong Chen:
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation. CoRR abs/2409.14810 (2024) - [i130]Jie Ouyang, Yucong Luo, Mingyue Cheng, Daoyu Wang, Shuo Yu, Qi Liu, Enhong Chen:
Revisiting the Solution of Meta KDD Cup 2024: CRAG. CoRR abs/2409.15337 (2024) - [i129]Shiwei Wu, Chen Zhang, Yan Gao, Qimeng Wang, Tong Xu, Yao Hu, Enhong Chen:
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents. CoRR abs/2410.00526 (2024) - 2023
- [j192]Mingdi Hu, Long Bai, Jiulun Fan, Sirui Zhao, Enhong Chen:
Vehicle color recognition based on smooth modulation neural network with multi-scale feature fusion. Frontiers Comput. Sci. 17(3): 173321 (2023) - [j191]Qi Zhang, Hengshu Zhu, Peng Wang, Enhong Chen, Hui Xiong:
Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 82:1-82:21 (2023) - [j190]Jia-Yu Liu, Fei Wang, Haiping Ma, Zhenya Huang, Qi Liu, En-Hong Chen, Yu Su:
A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems. J. Comput. Sci. Technol. 38(6): 1203-1222 (2023) - [j189]Wei Huang, Tong Xiao, Qi Liu, Zhenya Huang, Jianhui Ma, Enhong Chen:
HMNet: a hierarchical multi-modal network for educational video concept prediction. Int. J. Mach. Learn. Cybern. 14(9): 2913-2924 (2023) - [j188]Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, Joya Chen, Tie Zhang, Enhong Chen:
Communication-efficient federated learning with stagewise training strategy. Neural Networks 167: 460-472 (2023) - [j187]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11915-11931 (2023) - [j186]Zongda Wu, Jian Xie, Shigen Shen, Chongze Lin, Guandong Xu, Enhong Chen:
A Confusion Method for the Protection of User Topic Privacy in Chinese Keyword-based Book Retrieval. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 146:1-146:19 (2023) - [j185]Zheyong Xie, Weidong He, Tong Xu, Shiwei Wu, Chen Zhu, Ping Yang, Enhong Chen:
Comprehending the Gossips: Meme Explanation in Time-Sync Video Comment via Multimodal Cues. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(8): 216:1-216:17 (2023) - [j184]Zikai Yin, Tong Xu, Ziwei Zhao, Aakas Zhiyuli, Xueying Li, Enhong Chen:
Competition Analysis on Enterprise Ecosystems via Multiview Relational Hypergraph Embedding. IEEE Trans. Comput. Soc. Syst. 10(6): 3054-3065 (2023) - [j183]Pengyang Ling, Huaian Chen, Xiao Tan, Yi Jin, Enhong Chen:
Single Image Dehazing Using Saturation Line Prior. IEEE Trans. Image Process. 32: 3238-3253 (2023) - [j182]Xiao Tan, Huaian Chen, Rui Zhang, Qihan Wang, Yan Kan, Jinjin Zheng, Yi Jin, Enhong Chen:
Deep Multi-Exposure Image Fusion for Dynamic Scenes. IEEE Trans. Image Process. 32: 5310-5325 (2023) - [j181]Likang Wu, Hongke Zhao, Zhi Li, Zhenya Huang, Qi Liu, Enhong Chen:
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks. ACM Trans. Knowl. Discov. Data 17(8): 110:1-110:23 (2023) - [j180]Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen:
TechPat: Technical Phrase Extraction for Patent Mining. ACM Trans. Knowl. Discov. Data 17(9): 129:1-129:31 (2023) - [j179]Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, Enhong Chen:
EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35(1): 377-389 (2023) - [j178]Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
Decoupled Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2430-2444 (2023) - [j177]Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen:
Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. 35(5): 5119-5131 (2023) - [j176]Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong:
Towards Automatic Job Description Generation With Capability-Aware Neural Networks. IEEE Trans. Knowl. Data Eng. 35(5): 5341-5355 (2023) - [j175]Hanqing Tao, Guanqi Zhu, Enhong Chen, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong:
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification. IEEE Trans. Knowl. Data Eng. 35(6): 6043-6057 (2023) - [j174]Shuanghong Shen, Enhong Chen, Qi Liu, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang:
Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing. IEEE Trans. Knowl. Data Eng. 35(8): 8213-8227 (2023) - [j173]Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su:
NeuralCD: A General Framework for Cognitive Diagnosis. IEEE Trans. Knowl. Data Eng. 35(8): 8312-8327 (2023) - [j172]Wei Huang, Enhong Chen, Qi Liu, Hui Xiong, Zhenya Huang, Shiwei Tong, Dan Zhang:
HmcNet: A General Approach for Hierarchical Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 35(9): 8713-8728 (2023) - [j171]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen:
Model Inversion Attacks Against Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(9): 8729-8741 (2023) - [j170]Leyan Deng, Chenwang Wu, Defu Lian, Yongji Wu, Enhong Chen:
Markov-Driven Graph Convolutional Networks for Social Spammer Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12310-12322 (2023) - [j169]Fei Wang, Zhenya Huang, Qi Liu, Enhong Chen, Yu Yin, Jianhui Ma, Shijin Wang:
Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective. IEEE Trans. Learn. Technol. 16(3): 306-323 (2023) - [j168]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang:
LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching. IEEE Trans. Neural Networks Learn. Syst. 34(2): 853-866 (2023) - [j167]Liyi Chen, Zhi Li, Weidong He, Gong Cheng, Tong Xu, Nicholas Jing Yuan, Enhong Chen:
Entity Summarization via Exploiting Description Complementarity and Salience. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8297-8309 (2023) - [j166]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen:
Interaction-aware Drug Package Recommendation via Policy Gradient. ACM Trans. Inf. Syst. 41(1): 3:1-3:32 (2023) - [j165]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. ACM Trans. Inf. Syst. 41(1): 8:1-8:27 (2023) - [j164]Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao, Enhong Chen:
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation. ACM Trans. Inf. Syst. 41(2): 44:1-44:29 (2023) - [j163]Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Federated User Modeling from Hierarchical Information. ACM Trans. Inf. Syst. 41(2): 46:1-46:33 (2023) - [j162]Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang:
An Efficient and Robust Semantic Hashing Framework for Similar Text Search. ACM Trans. Inf. Syst. 41(4): 91:1-91:31 (2023) - [j161]Sirui Zhao, Hongyu Jiang, Hanqing Tao, Rui Zha, Kun Zhang, Tong Xu, Enhong Chen:
PEDM: A Multi-task Learning Model for Persona-aware Emoji-embedded Dialogue Generation. ACM Trans. Multim. Comput. Commun. Appl. 19(3s): 132:1-132:21 (2023) - [j160]Suojuan Zhang, Song Huang, Xiaohan Yu, Enhong Chen, Fei Wang, Zhenya Huang:
A generalized multi-skill aggregation method for cognitive diagnosis. World Wide Web (WWW) 26(2): 585-614 (2023) - [j159]Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen:
Securing recommender system via cooperative training. World Wide Web (WWW) 26(6): 3915-3943 (2023) - [c416]Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen:
Query-Aware Quantization for Maximum Inner Product Search. AAAI 2023: 4875-4883 - [c415]Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu:
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. AAAI 2023: 5018-5026 - [c414]Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang:
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. AAAI 2023: 13409-13418 - [c413]Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen:
Enhancing Hierarchical Text Classification through Knowledge Graph Integration. ACL (Findings) 2023: 5797-5810 - [c412]Xukai Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan:
RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs. ACL (Findings) 2023: 8683-8696 - [c411]Wei Chen, Lili Zhao, Pengfei Luo, Tong Xu, Yi Zheng, Enhong Chen:
HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition. CIKM 2023: 296-305 - [c410]Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He:
Search-Efficient Computerized Adaptive Testing. CIKM 2023: 773-782 - [c409]Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CIKM 2023: 3009-3019 - [c408]Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu, Enhong Chen:
Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. CIKM 2023: 3073-3082 - [c407]Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen:
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. CIKM 2023: 3257-3267 - [c406]Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen:
Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. CIKM 2023: 3423-3432 - [c405]Long Zhao, Youzhi Huang, Yanyan Wang, Yin Xu, Qiangzhong Feng, Enhong Chen:
Base Station Traffic Prediction based on Feature Selection and Stacking Ensemble Learning. CNIOT 2023: 113-117 - [c404]Xi Zhu, Pengfei Luo, Ziwei Zhao, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Enhong Chen:
Few-Shot Link Prediction for Event-Based Social Networks via Meta-learning. DASFAA (3) 2023: 31-41 - [c403]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. DASFAA (2) 2023: 286-296 - [c402]Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen:
Class-Dynamic and Hierarchy-Constrained Network for Entity Linking. DASFAA (2) 2023: 622-638 - [c401]Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma:
Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. ICDE 2023: 3801-3802 - [c400]Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou:
Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism. ICDE 2023: 3928-3941 - [c399]Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen:
Federated Nearest Neighbor Machine Translation. ICLR 2023 - [c398]Shukang Yin, Shiwei Wu, Tong Xu, Shifeng Liu, Sirui Zhao, Enhong Chen:
AU-aware graph convolutional network for Macroand Micro-expression spotting. ICME 2023: 228-233 - [c397]Yiming Zhang, Hao Wang, Yifan Xu, Xinglong Mao, Tong Xu, Sirui Zhao, Enhong Chen:
Adaptive Graph Attention Network with Temporal Fusion for Micro-Expressions Recognition. ICME 2023: 1391-1396 - [c396]Wenjun Peng, Weidong He, Derong Xu, Tong Xu, Chen Zhu, Enhong Chen:
Social Context-aware GCN for Video Character Search via Scene-prior Enhancement. ICME 2023: 2609-2614 - [c395]Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang:
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests. ICML 2023: 41786-41818 - [c394]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. IJCAI 2023: 2361-2369 - [c393]Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang:
Exploiting Non-Interactive Exercises in Cognitive Diagnosis. IJCAI 2023: 2397-2405 - [c392]Yichao Du, Zhengsheng Guo, Jinchuan Tian, Zhirui Zhang, Xing Wang, Jianwei Yu, Zhaopeng Tu, Tong Xu, Enhong Chen:
The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks. IWSLT@ACL 2023: 79-88 - [c391]Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong:
Multi-Temporal Relationship Inference in Urban Areas. KDD 2023: 1316-1327 - [c390]Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen:
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. KDD 2023: 1353-1362 - [c389]Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu:
Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. KDD 2023: 1477-1488 - [c388]Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen:
Multi-Grained Multimodal Interaction Network for Entity Linking. KDD 2023: 1583-1594 - [c387]Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. KDD 2023: 2618-2628 - [c386]Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen:
A Causality Inspired Framework for Model Interpretation. KDD 2023: 2731-2741 - [c385]Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang:
Learning Behavior-oriented Knowledge Tracing. KDD 2023: 2789-2800 - [c384]Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen:
Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. KDD 2023: 3151-3161 - [c383]Wenjun Peng, Derong Xu, Tong Xu, Jianjin Zhang, Enhong Chen:
Are GPT Embeddings Useful for Ads and Recommendation? KSEM (4) 2023: 151-162 - [c382]Minghao Liu, Haiyi Liu, Sirui Zhao, Fei Ma, Minglei Li, Zonghong Dai, Hao Wang, Tong Xu, Enhong Chen:
STAN: Spatial-Temporal Awareness Network for Temporal Action Detection. MMSports@MM 2023: 161-165 - [c381]Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen:
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective. NeurIPS 2023 - [c380]Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen:
Knowledge Distillation for High Dimensional Search Index. NeurIPS 2023 - [c379]Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen:
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information. NeurIPS 2023 - [c378]Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary A. Pardos, Enhong Chen, Jinze Wu, Xin Li:
A Bounded Ability Estimation for Computerized Adaptive Testing. NeurIPS 2023 - [c377]Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen:
Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs. SIGIR 2023: 822-831 - [c376]Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen:
A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement. SIGIR 2023: 1750-1754 - [c375]Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang:
Learning from Crowds with Annotation Reliability. SIGIR 2023: 2103-2107 - [c374]Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang:
Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. SIGIR 2023: 2496-2500 - [c373]Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen:
RecStudio: Towards a Highly-Modularized Recommender System. SIGIR 2023: 2890-2900 - [c372]Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li:
Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. WWW 2023: 855-864 - [c371]Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen:
AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. WWW 2023: 1032-1042 - [c370]Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen:
Cooperative Retriever and Ranker in Deep Recommenders. WWW 2023: 1150-1161 - [c369]Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen:
Membership Inference Attacks Against Sequential Recommender Systems. WWW 2023: 1208-1219 - [c368]Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. WWW 2023: 1437-1445 - [c367]Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen:
MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction. WWW 2023: 2710-2718 - [c366]Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen:
Differentiable Optimized Product Quantization and Beyond. WWW 2023: 3353-3363 - [i128]Sirui Zhao, Huaying Tang, Xinglong Mao, Shifeng Liu, Hanqing Tao, Hao Wang, Tong Xu, Enhong Chen:
More is Better: A Database for Spontaneous Micro-Expression with High Frame Rates. CoRR abs/2301.00985 (2023) - [i127]Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang:
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. CoRR abs/2301.07558 (2023) - [i126]Yuting Ning, Jiayu Liu, Longhu Qin, Tong Xiao, Shangzi Xue, Zhenya Huang, Qi Liu, Enhong Chen, Jinze Wu:
A Novel Approach for Auto-Formulation of Optimization Problems. CoRR abs/2302.04643 (2023) - [i125]Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. CoRR abs/2302.09818 (2023) - [i124]Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen:
Federated Nearest Neighbor Machine Translation. CoRR abs/2302.12211 (2023) - [i123]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. CoRR abs/2303.00243 (2023) - [i122]Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Enhong Chen:
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. CoRR abs/2303.00320 (2023) - [i121]Shukang Yin, Shiwei Wu, Tong Xu, Shifeng Liu, Sirui Zhao, Enhong Chen:
AU-aware graph convolutional network for Macro- and Micro-expression spotting. CoRR abs/2303.09114 (2023) - [i120]Shuanghong Shen, Enhong Chen, Bihan Xu, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su:
Quiz-based Knowledge Tracing. CoRR abs/2304.02413 (2023) - [i119]Zaixi Zhang, Qi Liu, Chee-Kong Lee, Chang-Yu Hsieh, Enhong Chen:
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design. CoRR abs/2304.12436 (2023) - [i118]Wenjun Peng, Weidong He, Derong Xu, Tong Xu, Chen Zhu, Enhong Chen:
Social Context-aware GCN for Video Character Search via Scene-prior Enhancement. CoRR abs/2305.12348 (2023) - [i117]Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen:
A Survey on Large Language Models for Recommendation. CoRR abs/2305.19860 (2023) - [i116]Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. CoRR abs/2306.08487 (2023) - [i115]Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. CoRR abs/2306.08817 (2023) - [i114]Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong:
Multi-Temporal Relationship Inference in Urban Areas. CoRR abs/2306.08921 (2023) - [i113]Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen:
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective. CoRR abs/2306.10512 (2023) - [i112]Zaixi Zhang, Jiaxian Yan, Qi Liu, Enhong Chen:
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design. CoRR abs/2306.11768 (2023) - [i111]Shukang Yin, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun, Tong Xu, Enhong Chen:
A Survey on Multimodal Large Language Models. CoRR abs/2306.13549 (2023) - [i110]Chao Zhang, Shiwei Wu, Sirui Zhao, Tong Xu, Enhong Chen:
A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference. CoRR abs/2306.14412 (2023) - [i109]Zheli Xiong, Defu Lian, Enhong Chen, Gang Chen, Xiaomin Cheng:
A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence. CoRR abs/2307.05623 (2023) - [i108]Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen:
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. CoRR abs/2307.05722 (2023) - [i107]Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong:
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms. CoRR abs/2307.07134 (2023) - [i106]Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen:
Multi-Grained Multimodal Interaction Network for Entity Linking. CoRR abs/2307.09721 (2023) - [i105]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen:
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. CoRR abs/2307.16376 (2023) - [i104]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. CoRR abs/2308.08563 (2023) - [i103]Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Enhong Chen:
Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance. CoRR abs/2309.00300 (2023) - [i102]Jin Zhang, Defu Lian, Hong Xie, Yawen Li, Enhong Chen:
Interactive Graph Convolutional Filtering. CoRR abs/2309.01453 (2023) - [i101]Zheli Xiong, Defu Lian, Enhong Chen, Gang Chen, Xiaomin Cheng:
Large-Scale OD Matrix Estimation with A Deep Learning Method. CoRR abs/2310.05753 (2023) - [i100]Shukang Yin, Chaoyou Fu, Sirui Zhao, Tong Xu, Hao Wang, Dianbo Sui, Yunhang Shen, Ke Li, Xing Sun, Enhong Chen:
Woodpecker: Hallucination Correction for Multimodal Large Language Models. CoRR abs/2310.16045 (2023) - [i99]Hao Zhang, Mingyue Cheng, Qi Liu, Zhiding Liu, Enhong Chen:
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. CoRR abs/2311.00388 (2023) - [i98]Keyu Ding, Yongcan Wang, Zihang Xu, Zhenzhen Jia, Shijin Wang, Cong Liu, Enhong Chen:
Generative Input: Towards Next-Generation Input Methods Paradigm. CoRR abs/2311.01166 (2023) - [i97]Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CoRR abs/2311.02816 (2023) - [i96]Wenjun Peng, Guiyang Li, Yue Jiang, Zilong Wang, Dan Ou, Xiaoyi Zeng, Derong Xu, Tong Xu, Enhong Chen:
Large Language Model based Long-tail Query Rewriting in Taobao Search. CoRR abs/2311.03758 (2023) - [i95]Zhihao Zhu, Chenwang Wu, Rui Fan, Yi Yang, Defu Lian, Enhong Chen:
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity. CoRR abs/2312.10943 (2023) - [i94]Zhihao Zhu, Rui Fan, Chenwang Wu, Yi Yang, Defu Lian, Enhong Chen:
Model Stealing Attack against Recommender System. CoRR abs/2312.11571 (2023) - [i93]Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Qi Liu, Enhong Chen:
Unlocking the Potential of Large Language Models for Explainable Recommendations. CoRR abs/2312.15661 (2023) - [i92]Lixiang Xu, Qingzhe Cui, Richang Hong, Wei Xu, Enhong Chen, Xin Yuan, Chenglong Li, Yuanyan Tang:
Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding. CoRR abs/2312.16477 (2023) - [i91]Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Enhong Chen:
Large Language Models for Generative Information Extraction: A Survey. CoRR abs/2312.17617 (2023) - 2022
- [j158]Xianfeng Liang, Shuheng Shen, Enhong Chen, Jinchang Liu, Qi Liu, Yifei Cheng, Zhen Pan:
Accelerating local SGD for non-IID data using variance reduction. Frontiers Comput. Sci. 17(2): 172311 (2022) - [j157]Wei Cao, Kun Zhang, Han Wu, Tong Xu, Enhong Chen, Guangyi Lv, Ming He:
Video emotion analysis enhanced by recognizing emotion in video comments. Int. J. Data Sci. Anal. 14(2): 175-189 (2022) - [j156]Enhong Chen, Yufeng Li, Quan Zou:
Preface to the Special Issue on Robust Machine Learning for Open Scenarios. Int. J. Softw. Informatics 12(2): 153-156 (2022) - [j155]Amadu Fullah Kamara, Enhong Chen, Zhen Pan:
An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices. Inf. Sci. 594: 1-19 (2022) - [j154]Dong Liu, Zhengchao Chang, Guoliang Yang, Enhong Chen:
Hiding ourselves from community detection through genetic algorithms. Inf. Sci. 614: 123-137 (2022) - [j153]Jian-Fu Zhu, Zhongkai Hao, Qi Liu, Yu Yin, Chengqiang Lu, Zhenya Huang, En-Hong Chen:
Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm. J. Comput. Sci. Technol. 37(6): 1464-1477 (2022) - [j152]Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen:
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting. Knowl. Inf. Syst. 64(7): 1723-1757 (2022) - [j151]Zhe Zhang, Hui Xiong, Tong Xu, Chuan Qin, Le Zhang, Enhong Chen:
Complex Attributed Network Embedding for medical complication prediction. Knowl. Inf. Syst. 64(9): 2435-2456 (2022) - [j150]Dong Liu, Zhengchao Chang, Guoliang Yang, Enhong Chen:
Community hiding using a graph autoencoder. Knowl. Based Syst. 253: 109495 (2022) - [j149]Yu Su, Zeyu Cheng, Jinze Wu, Yanmin Dong, Zhenya Huang, Le Wu, Enhong Chen, Shijin Wang, Fei Xie:
Graph-based cognitive diagnosis for intelligent tutoring systems. Knowl. Based Syst. 253: 109547 (2022) - [j148]Sirui Zhao, Huaying Tang, Shifeng Liu, Yangsong Zhang, Hao Wang, Tong Xu, Enhong Chen, Cuntai Guan:
ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition. Neural Networks 153: 427-443 (2022) - [j147]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen:
Estimating fund-raising performance for start-up projects from a market graph perspective. Pattern Recognit. 121: 108204 (2022) - [j146]Joya Chen, Dong Liu, Bin Luo, Xuezheng Peng, Tong Xu, Enhong Chen:
Residual objectness for imbalance reduction. Pattern Recognit. 130: 108781 (2022) - [j145]Wei Cao, Kun Zhang, Shulan Ruan, Hanqing Tao, Sirui Zhao, Hao Wang, Qi Liu, Enhong Chen:
Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction. IEEE Trans. Affect. Comput. 13(4): 1743-1758 (2022) - [j144]Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He:
Understanding the Users and Videos by Mining a Novel Danmu Dataset. IEEE Trans. Big Data 8(2): 535-551 (2022) - [j143]Liang He, Bin Shao, Yanghua Xiao, Yatao Li, Tie-Yan Liu, Enhong Chen, Huanhuan Xia:
Neurally-Guided Semantic Navigation in Knowledge Graph. IEEE Trans. Big Data 8(3): 607-615 (2022) - [j142]Dong Liu, Guoliang Yang, Yanwei Wang, Hu Jin, Enhong Chen:
How to Protect Ourselves From Overlapping Community Detection in Social Networks. IEEE Trans. Big Data 8(4): 894-904 (2022) - [j141]Minghui Duan, Huaian Chen, Zheng Sun, Yabing Zheng, Yi Jin, Jinjin Zheng, Changan Zhu, Enhong Chen:
Quasi-Periodic Phase Coding for Long-Depth-Range 3-D Measurements of Moving Objects. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j140]Yabing Zheng, Minghui Duan, Zheng Sun, Xin Fan, Yi Jin, Jinjin Zheng, Changan Zhu, Enhong Chen:
A Universal Self-Correcting Approach for Abnormal Jump Errors in Absolute Phase Retrieval. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j139]Xianwei Meng, Hao Fu, Liqun Peng, Guiquan Liu, Yang Yu, Zhong Wang, Enhong Chen:
D-LSTM: Short-Term Road Traffic Speed Prediction Model Based on GPS Positioning Data. IEEE Trans. Intell. Transp. Syst. 23(3): 2021-2030 (2022) - [j138]Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma:
Collaborative List-and-Pairwise Filtering From Implicit Feedback. IEEE Trans. Knowl. Data Eng. 34(6): 2667-2680 (2022) - [j137]Defu Lian, Jin Chen, Kai Zheng, Enhong Chen, Xiaofang Zhou:
Ranking-Based Implicit Regularization for One-Class Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 34(12): 5951-5963 (2022) - [j136]Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, Hui Xiong:
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control. IEEE Trans. Mob. Comput. 21(6): 2228-2242 (2022) - [j135]Leyan Deng, Defu Lian, Zhenya Huang, Enhong Chen:
Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2416-2428 (2022) - [j134]Huaian Chen, Yi Jin, Guoqiang Jin, Changan Zhu, Enhong Chen:
Semisupervised Semantic Segmentation by Improving Prediction Confidence. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4991-5003 (2022) - [j133]Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong:
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment. ACM Trans. Inf. Syst. 40(1): 15:1-15:36 (2022) - [j132]Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. ACM Trans. Inf. Syst. 40(2): 24:1-24:28 (2022) - [j131]Dan Li, Tong Xu, Peilun Zhou, Weidong He, Yanbin Hao, Yi Zheng, Enhong Chen:
Social Context-aware Person Search in Videos via Multi-modal Cues. ACM Trans. Inf. Syst. 40(3): 52:1-52:25 (2022) - [j130]Chao Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong:
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach. ACM Trans. Inf. Syst. 40(4): 70:1-70:32 (2022) - [c365]Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen:
Anisotropic Additive Quantization for Fast Inner Product Search. AAAI 2022: 4354-4362 - [c364]Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen:
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. ACL (Findings) 2022: 3599-3610 - [c363]Zheyong Xie, Shiwei Wu, Jia Su, Tong Xu, Enhong Chen:
Dialogue-enriched Knowledge Point Recommendation for Consultation Task. CCIS 2022: 40-45 - [c362]Changkai Feng, Wei Chen, Chao Chen, Tong Xu, Enhong Chen:
Multimodal Representation Learning-Based Product Matching. CCKS (Evaluation Track) 2022: 180-190 - [c361]Ming Chen, Jinze Wu, Yu Yin, Zhenya Huang, Qi Liu, Enhong Chen:
Dynamic Clustering Federated Learning for Non-IID Data. CICAI (3) 2022: 119-131 - [c360]Cong Wang, Zhi Zheng, Tong Xu, Zikai Yin, Enhong Chen:
Interaction-Aware Temporal Prescription Generation via Message Passing Neural Network. CICAI (2) 2022: 218-229 - [c359]Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen:
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF. CICAI (3) 2022: 248-259 - [c358]Yuanjie Lyu, Chen Zhu, Tong Xu, Zikai Yin, Enhong Chen:
Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer. CIKM 2022: 1410-1419 - [c357]Lili Zhao, Linan Yue, Yanqing An, Yuren Zhang, Jun Yu, Qi Liu, Enhong Chen:
CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements. CIKM 2022: 2691-2700 - [c356]Lin Chen, Huaian Chen, Zhixiang Wei, Xin Jin, Xiao Tan, Yi Jin, Enhong Chen:
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation. CVPR 2022: 7171-7180 - [c355]Yichao Du, Weizhi Wang, Zhirui Zhang, Boxing Chen, Tong Xu, Jun Xie, Enhong Chen:
Non-Parametric Domain Adaptation for End-to-End Speech Translation. EMNLP 2022: 306-320 - [c354]Dan Li, Yang Yang, Hongyin Tang, Jiahao Liu, Qifan Wang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen:
VIRT: Improving Representation-based Text Matching via Virtual Interaction. EMNLP 2022: 914-925 - [c353]Ran Bi, Tongtong Xu, Mingxue Xu, Enhong Chen:
PaddlePaddle: A Production-Oriented Deep Learning Platform Facilitating the Competency of Enterprises. HPCC/DSS/SmartCity/DependSys 2022: 92-99 - [c352]Jiayu Liu, Zhenya Huang, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen:
A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers. ICDM 2022: 269-278 - [c351]Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen:
One Person, One Model - Learning Compound Router for Sequential Recommendation. ICDM 2022: 289-298 - [c350]Le Dai, Yu Yin, Chuan Qin, Enhong Chen, Hui Xiong:
Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation. ICDM 2022: 909-914 - [c349]Rijin Jin, Sirui Zhao, Zhongkai Hao, Yifan Xu, Tong Xu, Enhong Chen:
AVT: Au-Assisted Visual Transformer for Facial Expression Recognition. ICIP 2022: 2661-2665 - [c348]Xiaonan Zeng, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang:
Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing. ICTAI 2022: 467-475 - [c347]Zihao Zhou, Le Zhang, Rui Zha, Qiming Hao, Tong Xu, Di Wu, Enhong Chen:
Multi-Relational Graph Convolution Network for Stock Movement Prediction. IJCNN 2022: 1-8 - [c346]Guanqi Zhu, Hanqing Tao, Han Wu, Liyi Chen, Ye Liu, Qi Liu, Enhong Chen:
Text Classification via Learning Semantic Dependency and Association. IJCNN 2022: 1-8 - [c345]Qiyue Qiu, Tong Xu, Enhong Chen:
Visual-Enhanced End-to-End Neural Diarization. IVSP 2022: 125-130 - [c344]Liyi Chen, Zhi Li, Tong Xu, Han Wu, Zhefeng Wang, Nicholas Jing Yuan, Enhong Chen:
Multi-modal Siamese Network for Entity Alignment. KDD 2022: 118-126 - [c343]Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang:
HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework. KDD 2022: 904-913 - [c342]Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang:
Incremental Cognitive Diagnosis for Intelligent Education. KDD 2022: 1760-1770 - [c341]Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu, Enhong Chen, Xiangyu Zhao:
DDR: Dialogue Based Doctor Recommendation for Online Medical Service. KDD 2022: 4592-4600 - [c340]Xiangyang Liu, Weidong He, Tong Xu, Enhong Chen:
Low-Quality itDanMu Detection via Eye-Tracking Patterns. KSEM (3) 2022: 247-259 - [c339]Derong Xu, Tong Xu, Shiwei Wu, Jingbo Zhou, Enhong Chen:
Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion. ACM Multimedia 2022: 3857-3866 - [c338]Sirui Zhao, Shukang Yin, Huaying Tang, Rijin Jin, Yifan Xu, Tong Xu, Enhong Chen:
Fine-grained Micro-Expression Generation based on Thin-Plate Spline and Relative AU Constraint. ACM Multimedia 2022: 7150-7154 - [c337]Wenhao Leng, Sirui Zhao, Yiming Zhang, Shifeng Liu, Xinglong Mao, Hao Wang, Tong Xu, Enhong Chen:
ABPN: Apex and Boundary Perception Network for Micro- and Macro-Expression Spotting. ACM Multimedia 2022: 7160-7164 - [c336]Penggang Qin, Jiarui Yu, Yan Gao, Derong Xu, Yunkai Chen, Shiwei Wu, Tong Xu, Enhong Chen, Yanbin Hao:
Unified QA-aware Knowledge Graph Generation Based on Multi-modal Modeling. ACM Multimedia 2022: 7185-7189 - [c335]Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen:
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. NeurIPS 2022 - [c334]Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen:
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy. NeurIPS 2022 - [c333]Chao Feng, Wuchao Li, Defu Lian, Zheng Liu, Enhong Chen:
Recommender Forest for Efficient Retrieval. NeurIPS 2022 - [c332]Linan Yue, Qi Liu, Yichao Du, Yanqing An, Li Wang, Enhong Chen:
DARE: Disentanglement-Augmented Rationale Extraction. NeurIPS 2022 - [c331]Hanqing Tao, Guanqi Zhu, Tong Xu, Qi Liu, Enhong Chen:
Teaching Text Classification Models Some Common Sense via Q &A Statistics: A Light and Transplantable Approach. NLPCC (1) 2022: 593-605 - [c330]Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen:
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. ECML/PKDD (3) 2022: 251-268 - [c329]Rui Fan, Jin Chen, Jin Zhang, Defu Lian, Enhong Chen:
Improving Implicit Alternating Least Squares with Ring-based Regularization. SIGIR 2022: 102-111 - [c328]Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang:
A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. SIGIR 2022: 416-426 - [c327]Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen:
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect. SIGIR 2022: 427-437 - [c326]Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen:
Forest-based Deep Recommender. SIGIR 2022: 523-532 - [c325]Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. SIGIR 2022: 1566-1576 - [c324]Yuren Zhang, Enhong Chen, Binbin Jin, Hao Wang, Min Hou, Wei Huang, Runlong Yu:
Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction. SIGIR 2022: 2195-2200 - [c323]Ruixin Li, Yu Yin, Le Dai, Shuanghong Shen, Xin Lin, Yu Su, Enhong Chen:
PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing. SIGIR 2022: 2601-2606 - [c322]Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma:
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. SIGIR 2022: 2704-2708 - [c321]Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen:
Towards Robust Recommender Systems via Triple Cooperative Defense. WISE 2022: 564-578 - [c320]Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su:
AdaptKT: A Domain Adaptable Method for Knowledge Tracing. WSDM 2022: 123-131 - [c319]Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian:
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. WWW 2022: 112-121 - [c318]Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen:
Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation. WWW 2022: 1923-1932 - [c317]Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen:
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. WWW 2022: 1944-1954 - [c316]Jin Chen, Defu Lian, Binbin Jin, Kai Zheng, Enhong Chen:
Learning Recommenders for Implicit Feedback with Importance Resampling. WWW 2022: 1997-2005 - [c315]Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong:
CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱. WWW 2022: 2268-2276 - [e5]Xiangke Liao, Wei Zhao, Enhong Chen, Nong Xiao, Li Wang, Yang Gao, Yinghuan Shi, Changdong Wang, Dan Huang:
Big Data - 9th CCF Conference, BigData 2021, Guangzhou, China, January 8-10, 2022, Revised Selected Papers. Communications in Computer and Information Science 1496, Springer 2022, ISBN 978-981-16-9708-1 [contents] - [e4]João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13280, Springer 2022, ISBN 978-3-031-05932-2 [contents] - [e3]João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13281, Springer 2022, ISBN 978-3-031-05935-3 [contents] - [e2]João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13282, Springer 2022, ISBN 978-3-031-05980-3 [contents] - [i90]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. CoRR abs/2201.09290 (2022) - [i89]Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen:
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. CoRR abs/2203.16369 (2022) - [i88]Lin Chen, Huaian Chen, Zhixiang Wei, Xin Jin, Xiao Tan, Yi Jin, Enhong Chen:
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation. CoRR abs/2204.03838 (2022) - [i87]Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma:
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. CoRR abs/2204.08229 (2022) - [i86]Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. CoRR abs/2205.08772 (2022) - [i85]Yichao Du, Weizhi Wang, Zhirui Zhang, Boxing Chen, Tong Xu, Jun Xie, Enhong Chen:
Non-Parametric Domain Adaptation for End-to-End Speech Translation. CoRR abs/2205.11211 (2022) - [i84]Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen:
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. CoRR abs/2205.14859 (2022) - [i83]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. CoRR abs/2206.08661 (2022) - [i82]Shiwei Wu, Weidong He, Tong Xu, Hao Wang, Enhong Chen:
Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach. CoRR abs/2206.09597 (2022) - [i81]Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen:
Cooperative Retriever and Ranker in Deep Recommenders. CoRR abs/2206.14649 (2022) - [i80]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen:
Model Inversion Attacks against Graph Neural Networks. CoRR abs/2209.07807 (2022) - [i79]Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen:
Towards Robust Recommender Systems via Triple Cooperative Defense. CoRR abs/2210.13762 (2022) - [i78]Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen:
One Person, One Model-Learning Compound Router for Sequential Recommendation. CoRR abs/2211.02824 (2022) - [i77]Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen:
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF. CoRR abs/2211.04759 (2022) - [i76]Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen:
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. CoRR abs/2211.08068 (2022) - 2021
- [j129]Lisheng Qiao, Fan Zhang, Xiaohui Huang, Kai Li, Enhong Chen:
Heterogeneous-attributes enhancement deep framework for network embedding. Frontiers Comput. Sci. 15(6): 156616 (2021) - [j128]Lin Mu, Peiquan Jin, Jie Zhao, Enhong Chen:
Detecting evolutionary stages of events on social media: A graph-kernel-based approach. Future Gener. Comput. Syst. 123: 219-232 (2021) - [j127]Sirui Zhao, Hanqing Tao, Yangsong Zhang, Tong Xu, Kun Zhang, Zhongkai Hao, Enhong Chen:
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition. Neurocomputing 448: 276-289 (2021) - [j126]Lixiang Xu, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaofeng Wang, Yuanyan Tang:
Multiple graph kernel learning based on GMDH-type neural network. Inf. Fusion 66: 100-110 (2021) - [j125]Liang Ge, Enhong Chen:
Research on grain storage temperature prediction model based on improved long short-term memory. J. Comput. Methods Sci. Eng. 21(5): 1145-1154 (2021) - [j124]Lixiang Xu, Lixin Cui, Thomas Weise, Xinlu Li, Zhize Wu, Feiping Nie, Enhong Chen, Yuanyan Tang:
Semi-supervised multi-Layer convolution kernel learning in credit evaluation. Pattern Recognit. 120: 108125 (2021) - [j123]Feng Xiao, Enhong Chen, Qiang Xu, Xianguo Zhang:
ICSTrace: A Malicious IP Traceback Model for Attacking Data of the Industrial Control System. Secur. Commun. Networks 2021: 7525092:1-7525092:14 (2021) - [j122]Junliang Guo, Zhirui Zhang, Linli Xu, Boxing Chen, Enhong Chen:
Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1740-1751 (2021) - [j121]Huaian Chen, Yi Jin, Minghui Duan, Changan Zhu, Enhong Chen:
DOF: A Demand-Oriented Framework for Image Denoising. IEEE Trans. Ind. Informatics 17(8): 5369-5379 (2021) - [j120]Minghui Duan, Yi Jin, Huaian Chen, Jinjin Zheng, Changan Zhu, Enhong Chen:
Automatic 3-D Measurement Method for Nonuniform Moving Objects. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j119]Yabing Zheng, Yi Jin, Minghui Duan, Changan Zhu, Enhong Chen:
Joint Coding Strategy of the Phase Domain and Intensity Domain for Absolute Phase Retrieval. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [j118]Joya Chen, Dong Liu, Tong Xu, Shiwei Wu, Yifei Cheng, Enhong Chen:
Is Heuristic Sampling Necessary in Training Deep Object Detectors? IEEE Trans. Image Process. 30: 8454-8467 (2021) - [j117]Shuo Tao, Jingang Jiang, Defu Lian, Kai Zheng, Enhong Chen:
Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling. ACM Trans. Intell. Syst. Technol. 12(6): 78:1-78:23 (2021) - [j116]Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu:
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction. IEEE Trans. Knowl. Data Eng. 33(1): 100-115 (2021) - [j115]Defu Lian, Xing Xie, Enhong Chen:
Discrete Matrix Factorization and Extension for Fast Item Recommendation. IEEE Trans. Knowl. Data Eng. 33(5): 1919-1933 (2021) - [j114]Defu Lian, Xing Xie, Enhong Chen, Hui Xiong:
Product Quantized Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 33(9): 3284-3296 (2021) - [j113]Qi Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong:
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results. ACM Trans. Inf. Syst. 39(3): 37:1-37:32 (2021) - [j112]Tong Xu, Peilun Zhou, Linkang Hu, Xiangnan He, Yao Hu, Enhong Chen:
Socializing the Videos: A Multimodal Approach for Social Relation Recognition. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 23:1-23:23 (2021) - [j111]Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu:
Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3068-3079 (2021) - [j110]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu:
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3781-3795 (2021) - [j109]Zongda Wu, Guiling Li, Shigen Shen, Xinze Lian, Enhong Chen, Guandong Xu:
Constructing dummy query sequences to protect location privacy and query privacy in location-based services. World Wide Web 24(1): 25-49 (2021) - [j108]Lintao Fang, Le Zhang, Han Wu, Tong Xu, Ding Zhou, Enhong Chen:
Patent2Vec: Multi-view representation learning on patent-graphs for patent classification. World Wide Web 24(5): 1791-1812 (2021) - [c314]Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen:
Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer. AAAI 2021: 4215-4223 - [c313]Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang:
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. AAAI 2021: 4232-4240 - [c312]Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen:
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. AAAI 2021: 4418-4426 - [c311]Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou:
Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification. AAAI 2021: 13898-13906 - [c310]Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan:
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. AAAI 2021: 14411-14419 - [c309]Yuting Ning, Ye Liu, Zhenya Huang, Haoyang Bi, Qi Liu, Enhong Chen, Dan Zhang:
Stable and Diverse: A Unified Approach for Computerized Adaptive Testing. CCIS 2021: 61-65 - [c308]Zhe Zhang, Tong Xu, Le Zhang, Yichao Du, Hui Xiong, Enhong Chen:
Knowledge Powered Cooperative Semantic Fusion for Patent Classification. CICAI 2021: 111-122 - [c307]Kun Zhang, Guangyi Lv, Meng Wang, Enhong Chen:
DGA-Net: Dynamic Gaussian Attention Network for Sentence Semantic Matching. CICAI (2) 2021: 203-214 - [c306]Wei Cao, Kun Zhang, Hanqing Tao, Weidong He, Qi Liu, Enhong Chen, Jianhui Ma:
Exploiting Visual Context and Multi-grained Semantics for Social Text Emotion Recognition. CICAI 2021: 783-795 - [c305]Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu:
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. CIKM 2021: 700-709 - [c304]Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen:
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. CIKM 2021: 3627-3631 - [c303]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen:
Learning the Implicit Semantic Representation on Graph-Structured Data. DASFAA (1) 2021: 3-19 - [c302]Yijun Wang, Tianxin Wei, Qi Liu, Enhong Chen:
Unpaired Multimodal Neural Machine Translation via Reinforcement Learning. DASFAA (2) 2021: 168-185 - [c301]Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen:
Inheritance-Guided Hierarchical Assignment for Clinical Automatic Diagnosis. DASFAA (3) 2021: 461-477 - [c300]Dan Liu, Mengge Du, Xiaoxi Li, Ya Li, Enhong Chen:
Cross Attention Augmented Transducer Networks for Simultaneous Translation. EMNLP (1) 2021: 39-55 - [c299]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu:
Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search. ICASSP 2021: 5699-5703 - [c298]Siqi Lei, Wei Huang, Shiwei Tong, Qi Liu, Zhenya Huang, Enhong Chen, Yu Su:
Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System. ICBK 2021: 426-433 - [c297]Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen:
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. ICCV 2021: 13940-13949 - [c296]Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen:
Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. ICDM 2021: 51-60 - [c295]Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang:
Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. ICDM 2021: 210-219 - [c294]Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang:
STAN: Adversarial Network for Cross-domain Question Difficulty Prediction. ICDM 2021: 220-229 - [c293]Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen:
Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. ICDM 2021: 389-398 - [c292]Linkang Hu, Weidong He, Le Zhang, Tong Xu, Hui Xiong, Enhong Chen:
Detecting Highlighted Video Clips Through Emotion-Enhanced Audio-Visual Cues. ICME 2021: 1-6 - [c291]Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen:
Preference-Adaptive Meta-Learning for Cold-Start Recommendation. IJCAI 2021: 1607-1614 - [c290]Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong:
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. IJCAI 2021: 2964-2970 - [c289]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen:
GraphMI: Extracting Private Graph Data from Graph Neural Networks. IJCAI 2021: 3749-3755 - [c288]Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong:
A Trend-aware Investment Target Recommendation System with Heterogeneous Graph. IJCNN 2021: 1-8 - [c287]Chao Ren, Le Zhang, Lintao Fang, Tong Xu, Zhefeng Wang, Senchao Yuan, Enhong Chen:
Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding. IJCNN 2021: 1-8 - [c286]Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen:
LawyerPAN: A Proficiency Assessment Network for Trial Lawyers. KDD 2021: 5-13 - [c285]Zhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen, Jianhui Ma, Yu Su, Wei Tong:
DisenQNet: Disentangled Representation Learning for Educational Questions. KDD 2021: 696-704 - [c284]Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen:
Online Additive Quantization. KDD 2021: 1098-1108 - [c283]Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang:
Learning Process-consistent Knowledge Tracing. KDD 2021: 1452-1460 - [c282]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021: 1830-1840 - [c281]Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong:
Attentive Heterogeneous Graph Embedding for Job Mobility Prediction. KDD 2021: 2192-2201 - [c280]Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma:
Modeling Context-aware Features for Cognitive Diagnosis in Student Learning. KDD 2021: 2420-2428 - [c279]Qiming Hao, Le Zhang, Rui Zha, Ding Zhou, Zhe Zhang, Tong Xu, Enhong Chen:
Urban Crowd Density Prediction Based on Multi-relational Graph. MDM 2021: 39-48 - [c278]Shiwei Wu, Joya Chen, Tong Xu, Liyi Chen, Lingfei Wu, Yao Hu, Enhong Chen:
Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN. ACM Multimedia 2021: 4716-4724 - [c277]Yifan Xu, Sirui Zhao, Huaying Tang, Xinglong Mao, Tong Xu, Enhong Chen:
FAMGAN: Fine-grained AUs Modulation based Generative Adversarial Network for Micro-Expression Generation. ACM Multimedia 2021: 4813-4817 - [c276]Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen:
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. PAKDD (2) 2021: 436-447 - [c275]Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen:
xLightFM: Extremely Memory-Efficient Factorization Machine. SIGIR 2021: 337-346 - [c274]Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen:
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. SIGIR 2021: 575-584 - [c273]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan:
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR 2021: 1074-1083 - [c272]Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan:
Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure. SIGIR 2021: 2156-2160 - [c271]Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang:
Federated Deep Knowledge Tracing. WSDM 2021: 662-670 - [c270]Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. WSDM 2021: 984-992 - [c269]Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Hierarchical Personalized Federated Learning for User Modeling. WWW 2021: 957-968 - [c268]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen:
Drug Package Recommendation via Interaction-aware Graph Induction. WWW 2021: 1284-1295 - [i75]Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen:
Adam revisited: a weighted past gradients perspective. CoRR abs/2101.00238 (2021) - [i74]Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang:
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. CoRR abs/2101.05986 (2021) - [i73]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen:
Learning the Implicit Semantic Representation on Graph-Structured Data. CoRR abs/2101.06471 (2021) - [i72]Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen:
Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis. CoRR abs/2101.11374 (2021) - [i71]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen:
Drug Package Recommendation via Interaction-aware Graph Induction. CoRR abs/2102.03577 (2021) - [i70]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu:
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search. CoRR abs/2102.04040 (2021) - [i69]Junliang Guo, Zhirui Zhang, Linlin Zhang, Linli Xu, Boxing Chen, Enhong Chen, Weihua Luo:
Towards Variable-Length Textual Adversarial Attacks. CoRR abs/2104.08139 (2021) - [i68]Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen:
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. CoRR abs/2104.10907 (2021) - [i67]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen:
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective. CoRR abs/2105.12918 (2021) - [i66]Qi Liu, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yonghe Zheng:
A Survey of Knowledge Tracing. CoRR abs/2105.15106 (2021) - [i65]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen:
GraphMI: Extracting Private Graph Data from Graph Neural Networks. CoRR abs/2106.02820 (2021) - [i64]Kun Zhang, Guangyi Lv, Meng Wang, Enhong Chen:
DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching. CoRR abs/2106.04905 (2021) - [i63]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang:
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching. CoRR abs/2108.02915 (2021) - [i62]Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen:
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. CoRR abs/2108.08022 (2021) - [i61]Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen:
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. CoRR abs/2108.12141 (2021) - [i60]Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng, Enhong Chen:
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. CoRR abs/2109.05773 (2021) - [i59]Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong:
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. CoRR abs/2110.12381 (2021) - [i58]Dan Li, Yang Yang, Hongyin Tang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen:
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction. CoRR abs/2112.04195 (2021) - [i57]Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yang Yu:
Online Allocation with Two-sided Resource Constraints. CoRR abs/2112.13964 (2021) - 2020
- [j107]Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen, Haiping Ma:
Leveraging proficiency and preference for online Karaoke recommendation. Frontiers Comput. Sci. 14(2): 273-290 (2020) - [j106]Enhong Chen, Yan Zhu, Changlu Lin, Kewei Lv:
Zero-pole cancellation for identity-based aggregators: a constant-size designated verifier-set signature. Frontiers Comput. Sci. 14(4): 144806 (2020) - [j105]Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen:
Adam revisited: a weighted past gradients perspective. Frontiers Comput. Sci. 14(5): 145309 (2020) - [j104]Kai Li, Tong Xu, Shuai Feng, Lisheng Qiao, Hua-Wei Shen, Tian-yang Lv, Xueqi Cheng, En-Hong Chen:
The Propagation Background in Social Networks: Simulating and Modeling. Int. J. Autom. Comput. 17(3): 353-363 (2020) - [j103]Amadu Fullah Kamara, Enhong Chen, Qi Liu, Zhen Pan:
Combining contextual neural networks for time series classification. Neurocomputing 384: 57-66 (2020) - [j102]Yang Liu, Zhi Li, Wei Huang, Tong Xu, En-Hong Chen:
Exploiting Structural and Temporal Influence for Dynamic Social-Aware Recommendation. J. Comput. Sci. Technol. 35(2): 281-294 (2020) - [j101]Zongda Wu, Shigen Shen, Xinze Lian, Xinning Su, Enhong Chen:
A dummy-based user privacy protection approach for text information retrieval. Knowl. Based Syst. 195: 105679 (2020) - [j100]Amadu Fullah Kamara, Enhong Chen, Qi Liu, Zhen Pan:
A hybrid neural network for predicting Days on Market a measure of liquidity in real estate industry. Knowl. Based Syst. 208: 106417 (2020) - [j99]Dongjie Li, Huaian Chen, Guoqiang Jin, Yi Jin, Changan Zhu, Enhong Chen:
A multiscale dilated residual network for image denoising. Multim. Tools Appl. 79(45-46): 34443-34458 (2020) - [j98]Lixiang Xu, Xiaofeng Wang, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaoyi Jiang, Bin Luo:
Probabilistic SVM classifier ensemble selection based on GMDH-type neural network. Pattern Recognit. 106: 107373 (2020) - [j97]Ying Li, Jizhou Huang, Miao Fan, Jinyi Lei, Haifeng Wang, Enhong Chen:
Personalized Query Auto-Completion for Large-Scale POI Search at Baidu Maps. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(5): 70:1-70:16 (2020) - [j96]Guifeng Wang, Qi Liu, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen:
Product Supply Optimization for Crowdfunding Campaigns. IEEE Trans. Big Data 6(4): 741-756 (2020) - [j95]Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Kun Zhang, Guang Zhou, Enhong Chen:
Pop Music Generation: From Melody to Multi-style Arrangement. ACM Trans. Knowl. Discov. Data 14(5): 54:1-54:31 (2020) - [j94]Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Xi Zhang, Tong Xu:
Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding. IEEE Trans. Knowl. Data Eng. 32(8): 1652-1665 (2020) - [j93]Tong Xu, Hengshu Zhu, Hui Xiong, Hao Zhong, Enhong Chen:
Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks. IEEE Trans. Mob. Comput. 19(8): 1804-1817 (2020) - [j92]Peilun Zhou, Tong Xu, Zhizhuo Yin, Dong Liu, Enhong Chen, Guangyi Lv, Changliang Li:
Character-Oriented Video Summarization With Visual and Textual Cues. IEEE Trans. Multim. 22(10): 2684-2697 (2020) - [j91]Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong:
An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment. ACM Trans. Inf. Syst. 38(2): 15:1-15:33 (2020) - [j90]Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen, Haiping Ma, Guoping Hu:
Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students. ACM Trans. Inf. Syst. 38(2): 19:1-19:33 (2020) - [j89]Biao Chang, Enhong Chen, Feida Zhu, Qi Liu, Tong Xu, Zhefeng Wang:
Maximum a Posteriori Estimation for Information Source Detection. IEEE Trans. Syst. Man Cybern. Syst. 50(6): 2242-2256 (2020) - [j88]Zongda Wu, Ruiqin Wang, Qi Li, Xinze Lian, Guandong Xu, Enhong Chen, Xiyang Liu:
A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services. IEEE Trans. Veh. Technol. 69(5): 5244-5254 (2020) - [j87]Zikai Yin, Tong Xu, Hengshu Zhu, Chen Zhu, Enhong Chen, Hui Xiong:
Matching of social events and users: a two-way selection perspective. World Wide Web 23(2): 853-871 (2020) - [c267]Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen:
A Variational Point Process Model for Social Event Sequences. AAAI 2020: 173-180 - [c266]Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen:
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. AAAI 2020: 1054-1061 - [c265]Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang:
Neural Cognitive Diagnosis for Intelligent Education Systems. AAAI 2020: 6153-6161 - [c264]Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen:
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model. AAAI 2020: 6396-6403 - [c263]Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu:
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. AAAI 2020: 7839-7846 - [c262]Junliang Guo, Linli Xu, Enhong Chen:
Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation. ACL 2020: 376-385 - [c261]Jingang Jiang, Shuo Tao, Defu Lian, Zhenya Huang, Enhong Chen:
Predicting Human Mobility with Self-attention and Feature Interaction. APWeb/WAIM (2) 2020: 117-131 - [c260]Binglei Wang, Tong Xu, Hao Wang, Yanmin Chen, Le Zhang, Lintao Fang, Guiquan Liu, Enhong Chen:
Author Contributed Representation for Scholarly Network. APWeb/WAIM (1) 2020: 558-573 - [c259]Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang:
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. ICDM 2020: 42-51 - [c258]Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang:
Structure-based Knowledge Tracing: An Influence Propagation View. ICDM 2020: 541-550 - [c257]Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu:
STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. ICDM 2020: 1052-1057 - [c256]Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui:
Technical Phrase Extraction for Patent Mining: A Multi-level Approach. ICDM 2020: 1142-1147 - [c255]Wei Tong, Shiwei Tong, Wei Huang, Liyang He, Jianhui Ma, Qi Liu, Enhong Chen:
Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education Systems. ICDM 2020: 1298-1303 - [c254]Shulan Ruan, Kun Zhang, Yijun Wang, Hanqing Tao, Weidong He, Guangyi Lv, Enhong Chen:
Context-Aware Generation-Based Net For Multi-Label Visual Emotion Recognition. ICME 2020: 1-6 - [c253]Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen:
Towards Explainable Conversational Recommendation. IJCAI 2020: 2994-3000 - [c252]Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. KDD 2020: 731-752 - [c251]Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong:
Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network. KDD 2020: 774-782 - [c250]Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen:
Geography-Aware Sequential Location Recommendation. KDD 2020: 2009-2019 - [c249]Liyi Chen, Zhi Li, Yijun Wang, Tong Xu, Zhefeng Wang, Enhong Chen:
MMEA: Entity Alignment for Multi-modal Knowledge Graph. KSEM (1) 2020: 134-147 - [c248]Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen, Cong Liang:
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking. ACM Multimedia 2020: 538-546 - [c247]Weidong He, Zhi Li, Dongcai Lu, Enhong Chen, Tong Xu, Baoxing Huai, Jing Yuan:
Multimodal Dialogue Systems via Capturing Context-aware Dependencies of Semantic Elements. ACM Multimedia 2020: 2755-2764 - [c246]Bin Xia, Weikang Wang, Shangfei Wang, Enhong Chen:
Learning from Macro-expression: a Micro-expression Recognition Framework. ACM Multimedia 2020: 2936-2944 - [c245]Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen:
Exploiting Self-Supervised and Semi-Supervised Learning for Facial Landmark Tracking with Unlabeled Data. ACM Multimedia 2020: 2991-2998 - [c244]Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen:
Incorporating BERT into Parallel Sequence Decoding with Adapters. NeurIPS 2020 - [c243]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. NeurIPS 2020 - [c242]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Architecture Search. NeurIPS 2020 - [c241]Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen:
Neural Mathematical Solver with Enhanced Formula Structure. SIGIR 2020: 1729-1732 - [c240]Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang:
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. SIGIR 2020: 1857-1860 - [c239]Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie:
LightRec: A Memory and Search-Efficient Recommender System. WWW 2020: 695-705 - [c238]Defu Lian, Qi Liu, Enhong Chen:
Personalized Ranking with Importance Sampling. WWW 2020: 1093-1103 - [c237]Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong:
Personalized Employee Training Course Recommendation with Career Development Awareness. WWW 2020: 1648-1659 - [c236]Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen:
Large-Scale Talent Flow Embedding for Company Competitive Analysis. WWW 2020: 2354-2364 - [e1]Enhong Chen, Grigoris Antoniou:
2020 IEEE International Conference on Knowledge Graph, ICKG 2020, Online, August 9-11, 2020. IEEE 2020, ISBN 978-1-7281-8156-1 [contents] - [i56]Song Cheng, Qi Liu, Enhong Chen:
Domain Adaption for Knowledge Tracing. CoRR abs/2001.04841 (2020) - [i55]Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma:
Deep Technology Tracing for High-tech Companies. CoRR abs/2001.08606 (2020) - [i54]Kai Zhang, Hongke Zhao, Qi Liu, Zhen Pan, Enhong Chen:
A Dynamic and Cooperative Tracking System for Crowdfunding. CoRR abs/2002.00847 (2020) - [i53]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Architecture Search. CoRR abs/2002.10389 (2020) - [i52]Shi Yin, Shangfei Wang, Xiaoping Chen, Enhong Chen:
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking. CoRR abs/2004.02108 (2020) - [i51]Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. CoRR abs/2007.03196 (2020) - [i50]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Neural Architecture Search with GBDT. CoRR abs/2007.04785 (2020) - [i49]Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen:
Incorporating BERT into Parallel Sequence Decoding with Adapters. CoRR abs/2010.06138 (2020) - [i48]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. CoRR abs/2011.00956 (2020) - [i47]Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. CoRR abs/2012.06968 (2020) - [i46]Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan:
R2-Net: Relation of Relation Learning Network for Sentence Semantic Matching. CoRR abs/2012.08920 (2020)
2010 – 2019
- 2019
- [j86]Xianwei Meng, Hao Fu, Guiquan Liu, Lei Zhang, Yang Yu, Weiyi Hu, Enhong Chen:
Multi-Feature Fusion: A Driver-Car Matching Model Based on Curve Comparison. IEEE Access 7: 83526-83535 (2019) - [j85]Lisheng Qiao, Hongke Zhao, Xiaohui Huang, Kai Li, Enhong Chen:
A Structure-Enriched Neural Network for network embedding. Expert Syst. Appl. 117: 300-311 (2019) - [j84]Kai Li, Guangyi Lv, Zhefeng Wang, Qi Liu, Enhong Chen, Lisheng Qiao:
Understanding the mechanism of social tie in the propagation process of social network with communication channel. Frontiers Comput. Sci. 13(6): 1296-1308 (2019) - [j83]Jiongwei Chen, Yi Jin, Muhammad Waqar Akram, Kuan Li, Enhong Chen:
Novel multi-convolutional neural network fusion approach for smile recognition. Multim. Tools Appl. 78(12): 15887-15907 (2019) - [j82]Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang, Enhong Chen:
Finding Theme Communities from Database Networks. Proc. VLDB Endow. 12(10): 1071-1084 (2019) - [j81]Jianqing Gao, Jun Du, Enhong Chen:
Mixed-Bandwidth Cross-Channel Speech Recognition via Joint Optimization of DNN-Based Bandwidth Expansion and Acoustic Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 27(3): 559-571 (2019) - [j80]Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 27(10): 1564-1576 (2019) - [j79]Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen:
Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation. IEEE Trans. Knowl. Data Eng. 31(6): 1122-1135 (2019) - [j78]Xuesong Wang, Jian Liu, Yuhu Cheng, Aiping Liu, Enhong Chen:
Dual Hypergraph Regularized PCA for Biclustering of Tumor Gene Expression Data. IEEE Trans. Knowl. Data Eng. 31(12): 2292-2303 (2019) - [c235]Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge:
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. AAAI 2019: 4023-4030 - [c234]Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen:
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. AAAI 2019: 5773-5780 - [c233]Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie:
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. AAAI 2019: 7442-7449 - [c232]Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen:
Budgeted Policy Learning for Task-Oriented Dialogue Systems. ACL (1) 2019: 3742-3751 - [c231]Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang:
Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach. CIKM 2019: 1051-1060 - [c230]Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu:
Exploring Multi-Objective Exercise Recommendations in Online Education Systems. CIKM 2019: 1261-1270 - [c229]Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen:
Tracking Top-k Influential Users with Relative Errors. CIKM 2019: 1783-1792 - [c228]Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu:
DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. CIKM 2019: 2397-2400 - [c227]Guangyi Lv, Shuai Wang, Bing Liu, Enhong Chen, Kun Zhang:
Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains. DASFAA (1) 2019: 795-811 - [c226]Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu:
Aftershock Detection with Multi-scale Description Based Neural Network. ICDM 2019: 886-895 - [c225]Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen:
Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering. ICDM 2019: 1000-1005 - [c224]Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, Shijin Wang:
Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data. ICDM 2019: 1108-1113 - [c223]Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma:
Deep Technology Tracing for High-Tech Companies. ICDM 2019: 1396-1401 - [c222]Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang:
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions. ICLR (Poster) 2019 - [c221]Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen:
Co-Attentive Multi-Task Learning for Explainable Recommendation. IJCAI 2019: 2137-2143 - [c220]Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong:
Trend-Aware Tensor Factorization for Job Skill Demand Analysis. IJCAI 2019: 3891-3897 - [c219]Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen:
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. IJCAI 2019: 3898-3904 - [c218]Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu:
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. IJCAI 2019: 4681-4688 - [c217]Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang:
Exploiting Cognitive Structure for Adaptive Learning. KDD 2019: 627-635 - [c216]Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su:
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. KDD 2019: 1064-1072 - [c215]Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su:
QuesNet: A Unified Representation for Heterogeneous Test Questions. KDD 2019: 1328-1336 - [c214]Tianyuan Jin, Jieming Shi, Xiaokui Xiao, Enhong Chen:
Efficient Pure Exploration in Adaptive Round model. NeurIPS 2019: 6605-6614 - [c213]Zhongxia Chen, Ruihua Song, Xing Xie, Jian-Yun Nie, Xiting Wang, Fuzheng Zhang, Enhong Chen:
Neural Response Generation with Relevant Emotions for Short Text Conversation. NLPCC (1) 2019: 117-129 - [c212]Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen:
Context-Aware Dual-Attention Network for Natural Language Inference. PAKDD (3) 2019: 185-198 - [c211]Guangyi Lv, Tong Xu, Qi Liu, Enhong Chen, Weidong He, Mingxiao An, Zhongming Chen:
Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation. PAKDD (3) 2019: 412-424 - [c210]Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen:
Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model? WWW 2019: 2312-2322 - [i45]Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su:
QuesNet: A Unified Representation for Heterogeneous Test Questions. CoRR abs/1905.10949 (2019) - [i44]Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu:
Transcribing Content from Structural Images with Spotlight Mechanism. CoRR abs/1905.10954 (2019) - [i43]Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su:
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. CoRR abs/1905.11013 (2019) - [i42]Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang:
Exploiting Cognitive Structure for Adaptive Learning. CoRR abs/1905.12470 (2019) - [i41]Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu:
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. CoRR abs/1905.12862 (2019) - [i40]Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu:
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems. CoRR abs/1906.00156 (2019) - [i39]Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen:
Budgeted Policy Learning for Task-Oriented Dialogue Systems. CoRR abs/1906.00499 (2019) - [i38]Hanqing Tao, Shiwei Tong, Tong Xu, Qi Liu, Enhong Chen:
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View. CoRR abs/1906.04287 (2019) - [i37]Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu:
EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction. CoRR abs/1906.05658 (2019) - [i36]Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang:
Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems. CoRR abs/1908.08733 (2019) - [i35]Joya Chen, Dong Liu, Bin Luo, Xuezheng Peng, Tong Xu, Enhong Chen:
Residual Objectness for Imbalance Reduction. CoRR abs/1908.09075 (2019) - [i34]Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, Hui Xiong:
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control. CoRR abs/1908.10577 (2019) - [i33]Renqian Luo, Tao Qin, Enhong Chen:
Understanding and Improving One-shot Neural Architecture Optimization. CoRR abs/1909.10815 (2019) - [i32]Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen:
Long-term Joint Scheduling for Urban Traffic. CoRR abs/1910.12283 (2019) - [i31]Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu:
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. CoRR abs/1911.08717 (2019) - [i30]Dazhong Shen, Qi Zhang, Tong Xu, Hengshu Zhu, Wenjia Zhao, Zikai Yin, Peilun Zhou, Lihua Fang, Enhong Chen, Hui Xiong:
Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest. CoRR abs/1911.09275 (2019) - [i29]Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen:
Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model. CoRR abs/1912.06767 (2019) - [i28]Xianfeng Liang, Shuheng Shen, Jingchang Liu, Zhen Pan, Enhong Chen, Yifei Cheng:
Variance Reduced Local SGD with Lower Communication Complexity. CoRR abs/1912.12844 (2019) - 2018
- [j77]Aimin Yang, Yifan Li, Fanbei Kong, Guoqing Wang, Enhong Chen:
Security Control Redundancy Allocation Technology and Security Keys Based on Internet of Things. IEEE Access 6: 50187-50196 (2018) - [j76]Zongda Wu, Chengren Zheng, Jian Xiejian, Zhifeng Zhou, Guandong Xu, Enhong Chen:
An approach for the protection of users' book browsing preference privacy in a digital library. Electron. Libr. 36(6): 1154-1166 (2018) - [j75]Biao Chang, Tong Xu, Qi Liu, En-Hong Chen:
Study on Information Diffusion Analysis in Social Networks and Its Applications. Int. J. Autom. Comput. 15(4): 377-401 (2018) - [j74]Hefu Zhang, Hongke Zhao, Qi Liu, Tong Xu, Enhong Chen, Xunpeng Huang:
Finding potential lenders in P2P lending: A Hybrid Random Walk Approach. Inf. Sci. 432: 376-391 (2018) - [j73]Qi Liu, Hongke Zhao, Le Wu, Zhi Li, En-Hong Chen:
Illuminating Recommendation by Understanding the Explicit Item Relations. J. Comput. Sci. Technol. 33(4): 739-755 (2018) - [j72]Weiwei Wu, Minming Li, Kai Wang, He Huang, Enhong Chen:
Speed scaling problems with memory/cache consideration. J. Sched. 21(6): 633-646 (2018) - [j71]Qi Liu, Run-ze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen, Guoping Hu:
Fuzzy Cognitive Diagnosis for Modelling Examinee Performance. ACM Trans. Intell. Syst. Technol. 9(4): 48:1-48:26 (2018) - [j70]Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang:
Product Adoption Rate Prediction in a Competitive Market. IEEE Trans. Knowl. Data Eng. 30(2): 325-338 (2018) - [j69]Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao, Enhong Chen:
Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis. IEEE Trans. Mob. Comput. 17(2): 279-292 (2018) - [j68]Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie:
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Trans. Inf. Syst. 36(3): 33:1-33:29 (2018) - [j67]Zongda Wu, Guiling Li, Qi Liu, Guandong Xu, Enhong Chen:
Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation. IEEE Trans. Serv. Comput. 11(3): 493-506 (2018) - [j66]Hongke Zhao, Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, Junping Du:
A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending. IEEE Trans. Syst. Man Cybern. Syst. 48(1): 21-33 (2018) - [j65]Ming He, Yong Ge, Enhong Chen, Qi Liu, Xuesong Wang:
Exploring the Emerging Type of Comment for Online Videos: DanMu. ACM Trans. Web 12(1): 1:1-1:33 (2018) - [j64]Zongda Wu, Guandong Xu, Chenglang Lu, Enhong Chen, Fang Jiang, Guiling Li:
An effective approach for the protection of privacy text data in the CloudDB. World Wide Web 21(4): 915-938 (2018) - [c209]Chao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang:
Confidence-Aware Matrix Factorization for Recommender Systems. AAAI 2018: 434-442 - [c208]Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Joint Training for Neural Machine Translation Models with Monolingual Data. AAAI 2018: 555-562 - [c207]Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu:
Exercise-Enhanced Sequential Modeling for Student Performance Prediction. AAAI 2018: 2435-2443 - [c206]Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen:
Multiple Pairwise Ranking with Implicit Feedback. CIKM 2018: 1727-1730 - [c205]Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Bidirectional Generative Adversarial Networks for Neural Machine Translation. CoNLL 2018: 190-199 - [c204]Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen:
Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective. DASFAA (1) 2018: 3-19 - [c203]Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu:
MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment. DASFAA (2) 2018: 318-335 - [c202]Hongjie Lin, Hao Wang, Dongfang Du, Han Wu, Biao Chang, Enhong Chen:
Patent Quality Valuation with Deep Learning Models. DASFAA (2) 2018: 474-490 - [c201]Lin Mu, Peiquan Jin, Lizhou Zheng, En-Hong Chen:
EventSys: Tracking Event Evolution on Microblogging Platforms. DASFAA (2) 2018: 797-801 - [c200]Tian Wu, Zhongjun He, Enhong Chen, Haifeng Wang:
Improving Neural Machine Translation with Neural Sentence Rewriting. IALP 2018: 147-152 - [c199]Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen:
Mining Density Contrast Subgraphs. ICDE 2018: 221-232 - [c198]Hao Wang, Enhong Chen, Qi Liu, Tong Xu, Dongfang Du, Wen Su, Xiaopeng Zhang:
A United Approach to Learning Sparse Attributed Network Embedding. ICDM 2018: 557-566 - [c197]Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, Hui Xiong:
Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction. ICDM 2018: 597-606 - [c196]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu:
Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. ICDM 2018: 747-756 - [c195]Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen:
Zero-Shot Learning: An Energy Based Approach. ICDM 2018: 797-806 - [c194]Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen:
Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. ICDM 2018: 1212-1217 - [c193]Zaiyi Chen, Yi Xu, Enhong Chen, Tianbao Yang:
SADAGRAD: Strongly Adaptive Stochastic Gradient Methods. ICML 2018: 912-920 - [c192]Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen:
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data. IJCAI 2018: 3578-3584 - [c191]Xianwei Meng, Enhong Chen, Shichen Wang:
A Method of Improving Performance of Measurement Accuracy for GNSS Receiver Under Dynamic Scenarios. ISR 2018: 510-514 - [c190]Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen:
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. KDD 2018: 1734-1743 - [c189]Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu:
Finding Similar Exercises in Online Education Systems. KDD 2018: 1821-1830 - [c188]Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu:
Transcribing Content from Structural Images with Spotlight Mechanism. KDD 2018: 2643-2652 - [c187]Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen:
XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music. KDD 2018: 2837-2846 - [c186]Ming He, Yan Chen, Qi Liu, Yong Ge, Enhong Chen, Guiquan Liu, Lichao Liu, Xin Li:
Understand and Assess People's Procrastination by Mining Computer Usage Log. KSEM (1) 2018: 187-199 - [c185]Renqian Luo, Fei Tian, Tao Qin, Enhong Chen, Tie-Yan Liu:
Neural Architecture Optimization. NeurIPS 2018: 7827-7838 - [c184]Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Coarse-To-Fine Learning for Neural Machine Translation. NLPCC (1) 2018: 316-328 - [c183]Yuanwei Lu, Guo Chen, Bojie Li, Kun Tan, Yongqiang Xiong, Peng Cheng, Jiansong Zhang, Enhong Chen, Thomas Moscibroda:
Multi-Path Transport for RDMA in Datacenters. NSDI 2018: 357-371 - [c182]Tianyuan Jin, Tong Xu, Hui Zhong, Enhong Chen, Zhefeng Wang, Qi Liu:
Maximizing the Effect of Information Adoption: A General Framework. SDM 2018: 693-701 - [c181]Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong:
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. SIGIR 2018: 25-34 - [c180]Tong Zhang, Zhulin Liu, Xuehan Wang, Xiao-Fen Xing, C. L. Philip Chen, Enhong Chen:
Facial Expression Recognition via Broad Learning System. SMC 2018: 1898-1902 - [c179]Lin Mu, Peiquan Jin, Lizhou Zheng, En-Hong Chen, Lihua Yue:
Lifecycle-Based Event Detection from Microblogs. WWW (Companion Volume) 2018: 283-290 - [r1]Qi Liu, Zhefeng Wang, Enhong Chen:
Influence Maximization Model. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i27]Junliang Guo, Linli Xu, Enhong Chen:
SPINE: Structural Identity Preserved Inductive Network Embedding. CoRR abs/1802.03984 (2018) - [i26]Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen:
Mining Density Contrast Subgraphs. CoRR abs/1802.06775 (2018) - [i25]Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Joint Training for Neural Machine Translation Models with Monolingual Data. CoRR abs/1803.00353 (2018) - [i24]Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen:
Tracking Top-K Influential Vertices in Dynamic Networks. CoRR abs/1803.01499 (2018) - [i23]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du:
Explainable Social Contextual Image Recommendation with Hierarchical Attention. CoRR abs/1806.00723 (2018) - [i22]Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen:
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. CoRR abs/1808.01075 (2018) - [i21]Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Regularizing Neural Machine Translation by Target-bidirectional Agreement. CoRR abs/1808.04064 (2018) - [i20]Zhirui Zhang, Shuo Ren, Shujie Liu, Jianyong Wang, Peng Chen, Mu Li, Ming Zhou, Enhong Chen:
Style Transfer as Unsupervised Machine Translation. CoRR abs/1808.07894 (2018) - [i19]Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong:
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. CoRR abs/1812.08947 (2018) - 2017
- [j63]Zongda Wu, Li Lei, Guiling Li, Hui Huang, Chengren Zheng, Enhong Chen, Guandong Xu:
A topic modeling based approach to novel document automatic summarization. Expert Syst. Appl. 84: 12-23 (2017) - [j62]Chu Guan, Yanjie Fu, Xinjiang Lu, Enhong Chen, Xiaolin Li, Hui Xiong:
Efficient karaoke song recommendation via multiple kernel learning approximation. Neurocomputing 254: 22-32 (2017) - [j61]Zongda Wu, Hui Zhu, Guiling Li, Zongmin Cui, Hui Huang, Jun Li, Enhong Chen, Guandong Xu:
An efficient Wikipedia semantic matching approach to text document classification. Inf. Sci. 393: 15-28 (2017) - [j60]Liang He, Bin Shao, Yatao Li, Huanhuan Xia, Yanghua Xiao, Enhong Chen, Liang Chen:
Stylus: A Strongly-Typed Store for Serving Massive RDF Data. Proc. VLDB Endow. 11(2): 203-216 (2017) - [j59]Hongke Zhao, Yong Ge, Qi Liu, Guifeng Wang, Enhong Chen, Hefu Zhang:
P2P Lending Survey: Platforms, Recent Advances and Prospects. ACM Trans. Intell. Syst. Technol. 8(6): 72:1-72:28 (2017) - [j58]Hao Fu, Xing Xie, Yong Rui, Neil Zhenqiang Gong, Guangzhong Sun, Enhong Chen:
Robust Spammer Detection in Microblogs: Leveraging User Carefulness. ACM Trans. Intell. Syst. Technol. 8(6): 83:1-83:31 (2017) - [j57]Qi Liu, Biao Xiang, Nicholas Jing Yuan, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang:
An Influence Propagation View of PageRank. ACM Trans. Knowl. Discov. Data 11(3): 30:1-30:30 (2017) - [j56]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang:
Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services. IEEE Trans. Knowl. Data Eng. 29(6): 1240-1253 (2017) - [j55]Zhefeng Wang, Yu Yang, Jian Pei, Lingyang Chu, Enhong Chen:
Activity Maximization by Effective Information Diffusion in Social Networks. IEEE Trans. Knowl. Data Eng. 29(11): 2374-2387 (2017) - [j54]Yu Yang, Zhefeng Wang, Jian Pei, Enhong Chen:
Tracking Influential Individuals in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 29(11): 2615-2628 (2017) - [j53]Dongliang He, Cuiling Lan, Chong Luo, Enhong Chen, Feng Wu, Wenjun Zeng:
Progressive Pseudo-analog Transmission for Mobile Video Streaming. IEEE Trans. Multim. 19(8): 1894-1907 (2017) - [j52]Enhong Chen, Guangxiang Zeng, Ping Luo, Hengshu Zhu, Jilei Tian, Hui Xiong:
Discerning individual interests and shared interests for social user profiling. World Wide Web 20(2): 417-435 (2017) - [c178]Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu:
Question Difficulty Prediction for READING Problems in Standard Tests. AAAI 2017: 1352-1359 - [c177]Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv:
A Context-Enriched Neural Network Method for Recognizing Lexical Entailment. AAAI 2017: 3127-3134 - [c176]Yuanwei Lu, Guo Chen, Zhenyuan Ruan, Wencong Xiao, Bojie Li, Jiansong Zhang, Yongqiang Xiong, Peng Cheng, Enhong Chen:
Memory Efficient Loss Recovery for Hardware-based Transport in Datacenter. APNet 2017: 22-28 - [c175]Yunfeng Chen, Lei Zhang, Xin Li, Yu Zong, Guiquan Liu, Enhong Chen:
Incorporating User Preferences Across Multiple Topics into Collaborative Filtering for Personalized Merchant Recommendation. APWeb/WAIM (1) 2017: 575-590 - [c174]Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Run-ze Wu, Yu Su, Guoping Hu:
Tracking Knowledge Proficiency of Students with Educational Priors. CIKM 2017: 989-998 - [c173]Zai Huang, Zhen Pan, Qi Liu, Bai Long, Haiping Ma, Enhong Chen:
An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers. CIKM 2017: 2119-2122 - [c172]Haocheng Wu, Zuohui Tian, Wei Wu, Enhong Chen:
An Unsupervised Approach for Low-Quality Answer Detection in Community Question-Answering. DASFAA (2) 2017: 85-101 - [c171]Chao Ma, Chen Zhu, Yanjie Fu, Hengshu Zhu, Guiquan Liu, Enhong Chen:
Social User Profiling: A Social-Aware Topic Modeling Perspective. DASFAA (2) 2017: 610-622 - [c170]Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen:
Stack-based Multi-layer Attention for Transition-based Dependency Parsing. EMNLP 2017: 1677-1682 - [c169]Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo:
Incorporating Spatio-Temporal Smoothness for Air Quality Inference. ICDM 2017: 1177-1182 - [c168]Feng Xiao, Enhong Chen, Qiang Xu:
S7commTrace: A High Interactive Honeypot for Industrial Control System Based on S7 Protocol. ICICS 2017: 412-423 - [c167]Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen:
Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective. IJCAI 2017: 695-702 - [c166]Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang:
Incremental Matrix Factorization: A Linear Feature Transformation Perspective. IJCAI 2017: 1901-1908 - [c165]Yuanwei Lu, Guo Chen, Larry Luo, Kun Tan, Yongqiang Xiong, Xiaoliang Wang, Enhong Chen:
One more queue is enough: Minimizing flow completion time with explicit priority notification. INFOCOM 2017: 1-9 - [c164]Li Lyna Zhang, Chieh-Jan Mike Liang, Yunxin Liu, Enhong Chen:
Systematically testing background services of mobile apps. ASE 2017: 4-15 - [c163]Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu:
Tracking the Dynamics in Crowdfunding. KDD 2017: 625-634 - [c162]Dongfang Du, Hao Wang, Tong Xu, Yanan Lu, Qi Liu, Enhong Chen:
Solving link-oriented tasks in signed network via an embedding approach. SMC 2017: 75-80 - [c161]Le Zhang, Tianyuan Jin, Tong Xu, Biao Chang, Zhefeng Wang, Enhong Chen:
A Markov Chain Monte Carlo Approach for Source Detection in Networks. SMP 2017: 77-88 - [c160]Bojie Li, Zhenyuan Ruan, Wencong Xiao, Yuanwei Lu, Yongqiang Xiong, Andrew Putnam, Enhong Chen, Lintao Zhang:
KV-Direct: High-Performance In-Memory Key-Value Store with Programmable NIC. SOSP 2017: 137-152 - [c159]Li Lyna Zhang, Chieh-Jan Mike Liang, Wei Zhang, Enhong Chen:
Towards A Contextual and Scalable Automated-testing Service for Mobile Apps. HotMobile 2017: 97-102 - [c158]Run-ze Wu, Guandong Xu, Enhong Chen, Qi Liu, Wan Ng:
Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response. WWW (Companion Volume) 2017: 321-329 - [i18]Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang, Enhong Chen:
Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering. CoRR abs/1709.08083 (2017) - [i17]Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen:
Generalized Neural Graph Embedding with Matrix Factorization. CoRR abs/1711.04094 (2017) - 2016
- [j51]Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao:
Exploiting multi-channels deep convolutional neural networks for multivariate time series classification. Frontiers Comput. Sci. 10(1): 96-112 (2016) - [j50]Lei Zhang, Ping Luo, Enhong Chen, Min Wang:
Revisiting bound estimation of pattern measures: A generic framework. Inf. Sci. 339: 254-273 (2016) - [j49]Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu:
Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph. J. Comput. Sci. Technol. 31(3): 624-634 (2016) - [j48]Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tong Xu, Hui Xiong:
Tracking the evolution of social emotions with topic models. Knowl. Inf. Syst. 47(3): 517-544 (2016) - [j47]Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie:
Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations. ACM Trans. Intell. Syst. Technol. 7(3): 39:1-39:30 (2016) - [j46]Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan:
From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring. ACM Trans. Web 10(4): 22:1-22:38 (2016) - [c157]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang:
Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. AAAI 2016: 279-286 - [c156]Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng:
Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding. AAAI 2016: 3000-3006 - [c155]Zhefeng Wang, Lingyang Chu, Jian Pei, Abdullah Al-Barakati, Enhong Chen:
Tradeoffs between density and size in extracting dense subgraphs: A unified framework. ASONAM 2016: 41-48 - [c154]Zhe Wang, Wei He, Hua Wu, Haiyang Wu, Wei Li, Haifeng Wang, Enhong Chen:
Chinese Poetry Generation with Planning based Neural Network. COLING 2016: 1051-1060 - [c153]Yan Zhu, Hengshu Zhu, Qi Liu, Enhong Chen, Hong Li, Hongke Zhao:
Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective. DASFAA (1) 2016: 258-273 - [c152]Ming He, Yong Ge, Le Wu, Enhong Chen, Chang Tan:
Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View. DASFAA (2) 2016: 351-366 - [c151]Yuping Liu, Qi Liu, Run-ze Wu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu:
Collaborative Learning Team Formation: A Cognitive Modeling Perspective. DASFAA (2) 2016: 383-400 - [c150]Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Fuzheng Zhang, Xing Xie, Qi Liu, Enhong Chen:
A contextual collaborative approach for app usage forecasting. UbiComp 2016: 1247-1258 - [c149]Zhen Pan, Enhong Chen, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin:
Sparse Factorization Machines for Click-through Rate Prediction. ICDM 2016: 400-409 - [c148]Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie:
Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains. ICDM 2016: 529-538 - [c147]Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen:
Group Preference Aggregation: A Nash Equilibrium Approach. ICDM 2016: 679-688 - [c146]Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, Qi Liu:
Selecting Valuable Customers for Merchants in E-Commerce Platforms. ICDM 2016: 1281-1286 - [c145]Jianqing Gao, Jun Du, Changqing Kong, Huaifang Lu, Enhong Chen, Chin-Hui Lee:
An experimental study on joint modeling of mixed-bandwidth data via deep neural networks for robust speech recognition. IJCNN 2016: 588-594 - [c144]Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu:
Days on Market: Measuring Liquidity in Real Estate Markets. KDD 2016: 393-402 - [c143]Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong:
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective. KDD 2016: 1285-1294 - [c142]Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen:
Finding Gangs in War from Signed Networks. KDD 2016: 1505-1514 - [c141]Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen:
Portfolio Selections in P2P Lending: A Multi-Objective Perspective. KDD 2016: 2075-2084 - [c140]Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu:
Personal Credit Profiling via Latent User Behavior Dimensions on Social Media. PAKDD (2) 2016: 130-142 - [c139]Chu Guan, Yanjie Fu, Xinjiang Lu, Hui Xiong, Enhong Chen, Yingling Liu:
Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model. SDM 2016: 135-143 - [i16]Yu Yang, Zhefeng Wang, Jian Pei, Enhong Chen:
Tracking Influential Nodes in Dynamic Networks. CoRR abs/1602.04490 (2016) - [i15]Hao Fu, Xing Xie, Yong Rui, Defu Lian, Guangzhong Sun, Enhong Chen:
Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region. CoRR abs/1604.02694 (2016) - [i14]Zhefeng Wang, Yu Yang, Jian Pei, Enhong Chen:
Activity Maximization by Effective Information Diffusion in Social Networks. CoRR abs/1610.07754 (2016) - [i13]Zhe Wang, Wei He, Hua Wu, Haiyang Wu, Wei Li, Haifeng Wang, Enhong Chen:
Chinese Poetry Generation with Planning based Neural Network. CoRR abs/1610.09889 (2016) - 2015
- [j45]Xin Li, Guandong Xu, Enhong Chen, Yu Zong:
Learning recency based comparative choice towards point-of-interest recommendation. Expert Syst. Appl. 42(9): 4274-4283 (2015) - [j44]Jingsong Lv, Victor C. S. Lee, Minming Li, Enhong Chen:
Supporting multi-level quality of services in data broadcast systems. Int. J. Sens. Networks 18(3/4): 161-171 (2015) - [j43]Haocheng Wu, Yunhua Hu, Hang Li, Enhong Chen:
A new approach to query segmentation for relevance ranking in web search. Inf. Retr. J. 18(1): 26-50 (2015) - [j42]Zongda Wu, Jie Shi, Chenglang Lu, Enhong Chen, Guandong Xu, Guiling Li, Sihong Xie, Philip S. Yu:
Constructing plausible innocuous pseudo queries to protect user query intention. Inf. Sci. 325: 215-226 (2015) - [j41]Guandong Xu, Zongda Wu, Guiling Li, Enhong Chen:
Improving contextual advertising matching by using Wikipedia thesaurus knowledge. Knowl. Inf. Syst. 43(3): 599-631 (2015) - [j40]Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen:
Popularity Modeling for Mobile Apps: A Sequential Approach. IEEE Trans. Cybern. 45(7): 1303-1314 (2015) - [j39]Lei Zhang, Ping Luo, Linpeng Tang, Enhong Chen, Qi Liu, Min Wang, Hui Xiong:
Occupancy-Based Frequent Pattern Mining*. ACM Trans. Knowl. Discov. Data 10(2): 14:1-14:33 (2015) - [j38]Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen:
Discovery of Ranking Fraud for Mobile Apps. IEEE Trans. Knowl. Data Eng. 27(1): 74-87 (2015) - [j37]Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Enhong Chen, Wenguang Chen:
ImmortalGraph: A System for Storage and Analysis of Temporal Graphs. ACM Trans. Storage 11(3): 14:1-14:34 (2015) - [c138]Linli Xu, Aiqing Huang, Jianhui Chen, Enhong Chen:
Exploiting Task-Feature Co-Clusters in Multi-Task Learning. AAAI 2015: 1931-1937 - [c137]Linli Xu, Yitan Li, Yubo Wang, Enhong Chen:
Temporally Adaptive Restricted Boltzmann Machine for Background Modeling. AAAI 2015: 1938-1944 - [c136]Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen:
A Nonconvex Relaxation Approach for Rank Minimization Problems. AAAI 2015: 1980-1987 - [c135]Liang He, Bin Shao, Yatao Li, Enhong Chen:
Distributed real-time knowledge graph serving. BigComp 2015: 262-265 - [c134]Yiming Yang, Lei Zhang, Guiquan Liu, Enhong Chen:
UPCA: An efficient URL-Pattern based algorithm for accurate web page classification. FSKD 2015: 1475-1480 - [c133]Xin Li, Guandong Xu, Enhong Chen, Lin Li:
MARS: A multi-aspect Recommender system for Point-of-Interest. ICDE 2015: 1436-1439 - [c132]Biao Chang, Feida Zhu, Enhong Chen, Qi Liu:
Information Source Detection via Maximum A Posteriori Estimation. ICDM 2015: 21-30 - [c131]Chu Guan, Xinjiang Lu, Xiaolin Li, Enhong Chen, Wenjun Zhou, Hui Xiong:
Discovery of College Students in Financial Hardship. ICDM 2015: 141-150 - [c130]Liyuan Liu, Linli Xu, Zhen Wang, Enhong Chen:
Community Detection Based on Structure and Content: A Content Propagation Perspective. ICDM 2015: 271-280 - [c129]Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie:
Mining Indecisiveness in Customer Behaviors. ICDM 2015: 281-290 - [c128]Xin Li, Guandong Xu, Enhong Chen, Lin Li:
Learning User Preferences across Multiple Aspects for Merchant Recommendation. ICDM 2015: 865-870 - [c127]Linli Xu, Qi Zhou, Aiqing Huang, Wenjun Ouyang, Enhong Chen:
Feature Selection with Integrated Relevance and Redundancy Optimization. ICDM 2015: 1063-1068 - [c126]Run-ze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu:
Cognitive Modelling for Predicting Examinee Performance. IJCAI 2015: 1017-1024 - [c125]Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang:
Maximizing the Coverage of Information Propagation in Social Networks. IJCAI 2015: 2104-2110 - [c124]Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong, Enhong Chen:
Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective. IJCAI 2015: 3650-3656 - [c123]Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang:
Matrix Factorization with Scale-Invariant Parameters. IJCAI 2015: 4017-4024 - [c122]Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui:
Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data. KDD 2015: 1275-1284 - [c121]Yifan Sun, Xin Li, Lin Li, Qi Liu, Enhong Chen, Haiping Ma:
Mining User's Location Intention from Mobile Search Log. KSEM 2015: 407-420 - [c120]Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui:
Predicting Smartphone Adoption in Social Networks. PAKDD (1) 2015: 472-485 - [c119]Yi Zheng, Qi Liu, Enhong Chen, J. Leon Zhao, Liang He, Guangyi Lv:
Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification. PAKDD (2) 2015: 534-546 - [c118]Guowei Ma, Qi Liu, Le Wu, Enhong Chen:
Identifying Hesitant and Interested Customers for Targeted Social Marketing. PAKDD (1) 2015: 576-590 - [c117]Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tan:
Product Adoption Rate Prediction: A Multi-factor View. SDM 2015: 154-162 - [c116]Tong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen, Guannan Liu:
Exploring the Impact of Dynamic Mutual Influence on Social Event Participation. SDM 2015: 262-270 - [c115]Guangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, Qi Liu:
Convex Matrix Completion: A Trace-Ball Optimization Perspective. SDM 2015: 334-342 - [c114]Zaiyi Chen, Linli Xu, Enhong Chen, Biao Chang, Zhefeng Wang, Yitan Li:
Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction. SDM 2015: 541-549 - [c113]Guowei Ma, Qi Liu, Enhong Chen, Biao Xiang:
Individual Influence Maximization via Link Recommendation. WAIM 2015: 42-56 - [c112]Chu Guan, Qi Liu, Jingsong Lv, Enhong Chen, Hengshu Zhu, Xin Li:
Consolidation: Metric+Active Learning and Its Applications for Cross-Domain Recommendation. WI-IAT (1) 2015: 244-251 - [c111]Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou:
A Novelty-Seeking based Dining Recommender System. WWW 2015: 1362-1372 - [i12]Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu:
Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph. CoRR abs/1505.04891 (2015) - [i11]Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang:
Information Coverage Maximization in Social Networks. CoRR abs/1510.03822 (2015) - 2014
- [j36]Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian, Jinghai Rao:
Learning to detect subway arrivals for passengers on a train. Frontiers Comput. Sci. 8(2): 316-329 (2014) - [j35]Tong Xu, Hengshu Zhu, Enhong Chen, Baoxing Huai, Hui Xiong, Jilei Tian:
Learning to annotate via social interaction analytics. Knowl. Inf. Syst. 41(2): 251-276 (2014) - [j34]Chang Tan, Qi Liu, Enhong Chen, Hui Xiong, Xiang Wu:
Object-Oriented Travel Package Recommendation. ACM Trans. Intell. Syst. Technol. 5(3): 43:1-43:26 (2014) - [j33]Hengshu Zhu, Enhong Chen, Hui Xiong, Kuifei Yu, Huanhuan Cao, Jilei Tian:
Mining Mobile User Preferences for Personalized Context-Aware Recommendation. ACM Trans. Intell. Syst. Technol. 5(4): 58:1-58:27 (2014) - [j32]Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian:
Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach. ACM Trans. Knowl. Discov. Data 9(2): 10:1-10:29 (2014) - [j31]Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu:
A Cocktail Approach for Travel Package Recommendation. IEEE Trans. Knowl. Data Eng. 26(2): 278-293 (2014) - [j30]Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jilei Tian:
Mobile App Classification with Enriched Contextual Information. IEEE Trans. Mob. Comput. 13(7): 1550-1563 (2014) - [j29]Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jilei Tian:
Ranking user authority with relevant knowledge categories for expert finding. World Wide Web 17(5): 1081-1107 (2014) - [c110]Ming He, Alvin Chin, Enhong Chen, Jilei Tian:
Efficient Personalized Recommendation of Mobile Web Content Using an EM-Based Clustering Method. CIT 2014: 152-159 - [c109]Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu:
Learning Deep Representations for Graph Clustering. AAAI 2014: 1293-1299 - [c108]Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu:
Agent Behavior Prediction and Its Generalization Analysis. AAAI 2014: 1300-1306 - [c107]Guangming Guo, Lei Zhang, Qi Liu, Enhong Chen, Feida Zhu, Chu Guan:
High Utility Episode Mining Made Practical and Fast. ADMA 2014: 71-84 - [c106]Fangshuang Tang, Qi Liu, Hengshu Zhu, Enhong Chen, Feida Zhu:
Diversified social influence maximization. ASONAM 2014: 455-459 - [c105]Qi Liu, Biao Xiang, Enhong Chen, Hui Xiong, Fangshuang Tang, Jeffrey Xu Yu:
Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach. CIKM 2014: 171-180 - [c104]Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen, Hui Xiong, Chang Tan:
Predicting the Popularity of Online Serials with Autoregressive Models. CIKM 2014: 1339-1348 - [c103]Fei Tian, Hanjun Dai, Jiang Bian, Bin Gao, Rui Zhang, Enhong Chen, Tie-Yan Liu:
A Probabilistic Model for Learning Multi-Prototype Word Embeddings. COLING 2014: 151-160 - [c102]Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen:
Chronos: a graph engine for temporal graph analysis. EuroSys 2014: 1:1-1:14 - [c101]Jing Wang, Lei Zhang, Guiquan Liu, Qi Liu, Enhong Chen:
On top-k closed sequential patterns mining. FSKD 2014: 295-300 - [c100]Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong:
Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective. ICDM 2014: 350-359 - [c99]Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu:
Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective. ICDM 2014: 697-706 - [c98]Aiqing Huang, Linli Xu, Yitan Li, Enhong Chen:
Robust Dynamic Trajectory Regression on Road Networks: A Multi-task Learning Framework. ICDM 2014: 857-862 - [c97]Linli Xu, Zhen Wang, Zefan Shen, Yubo Wang, Enhong Chen:
Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels. ICDM 2014: 1067-1072 - [c96]Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen:
Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. ICDM 2014: 1109-1114 - [c95]Xin Li, Lei Zhang, Ping Luo, Enhong Chen, Guandong Xu, Yu Zong, Chu Guan:
Mining user tasks from print logs. IJCNN 2014: 1250-1257 - [c94]Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui:
GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation. KDD 2014: 831-840 - [c93]Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen:
Mobile app recommendations with security and privacy awareness. KDD 2014: 951-960 - [c92]Defu Lian, Yin Zhu, Xing Xie, Enhong Chen:
Analyzing Location Predictability on Location-Based Social Networks. PAKDD (1) 2014: 102-113 - [c91]Zhefeng Wang, Hao Wang, Qi Liu, Enhong Chen:
Influential nodes selection: a data reconstruction perspective. SIGIR 2014: 879-882 - [c90]Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao:
Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks. WAIM 2014: 298-310 - [c89]Lili Zhou, Hanchao Wang, Lei Zhang, Enhong Chen, Jun Chen:
A Novel Knowledge Network Framework for Financial News Navigation. WAIM 2014: 723-727 - [c88]Hanchao Wang, Lili Zhou, Yu Zong, Lei Zhang, Enhong Chen, Xin Li, Jun Chen:
An Intelligent Search Platform for Business News. WAIM 2014: 744-755 - [c87]Haocheng Wu, Wei Wu, Ming Zhou, Enhong Chen, Lei Duan, Heung-Yeung Shum:
Improving search relevance for short queries in community question answering. WSDM 2014: 43-52 - [i10]Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu:
Agent Behavior Prediction and Its Generalization Analysis. CoRR abs/1404.4960 (2014) - 2013
- [j28]Qi Liu, Haiping Ma, Enhong Chen, Hui Xiong:
A Survey of Context-Aware Mobile Recommendations. Int. J. Inf. Technol. Decis. Mak. 12(1): 139-172 (2013) - [j27]Zongda Wu, Guandong Xu, Chenglang Lu, Enhong Chen, Yanchun Zhang, Hong Zhang:
Position-wise contextual advertising: Placing relevant ads at appropriate positions of a web page. Neurocomputing 120: 524-535 (2013) - [j26]Weiwei Wu, Minming Li, Enhong Chen:
Optimal key tree structure for two-user replacement and deletion problems. J. Comb. Optim. 26(1): 44-70 (2013) - [j25]Wanyong Tian, Yingchao Zhao, Liang Shi, Qing'an Li, Jianhua Li, Chun Jason Xue, Minming Li, Enhong Chen:
Task Allocation on Nonvolatile-Memory-Based Hybrid Main Memory. IEEE Trans. Very Large Scale Integr. Syst. 21(7): 1271-1284 (2013) - [j24]Zhen Liao, Daxin Jiang, Jian Pei, Yalou Huang, Enhong Chen, Huanhuan Cao, Hang Li:
A vlHMM approach to context-aware search. ACM Trans. Web 7(4): 22:1-22:38 (2013) - [c86]Xin Li, Lei Zhang, Enhong Chen, Yu Zong, Guandong Xu:
Mining Frequent Patterns in Print Logs with Semantically Alternative Labels. ADMA (2) 2013: 107-119 - [c85]Miao Zhang, Chunni Dai, Chris H. Q. Ding, Enhong Chen:
Probabilistic solutions of influence propagation on social networks. CIKM 2013: 429-438 - [c84]Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen:
Ranking fraud detection for mobile apps: a holistic view. CIKM 2013: 619-628 - [c83]Ting Jin, Tong Xu, Enhong Chen, Qi Liu, Haiping Ma, Jingsong Lv, Guoping Hu:
Random Walk with Pre-filtering for Social Link Prediction. CIS 2013: 139-143 - [c82]Hao Wang, Zhengdong Lu, Hang Li, Enhong Chen:
A Dataset for Research on Short-Text Conversations. EMNLP 2013: 935-945 - [c81]Qi Liu, Biao Xiang, Lei Zhang, Enhong Chen, Chang Tan, Ji Chen:
Linear Computation for Independent Social Influence. ICDM 2013: 468-477 - [c80]Guangxiang Zeng, Ping Luo, Enhong Chen, Min Wang:
From Social User Activities to People Affiliation. ICDM 2013: 1277-1282 - [c79]Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian, Jinghai Rao:
Learning to Detect the Subway Station Arrival for Mobile Users. IDEAL 2013: 49-57 - [c78]Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang:
PageRank with Priors: An Influence Propagation Perspective. IJCAI 2013: 2740-2746 - [c77]Xiang Wu, Qi Liu, Enhong Chen, Liang He, Jingsong Lv, Can Cao, Guoping Hu:
Personalized next-song recommendation in online karaokes. RecSys 2013: 137-140 - [c76]Yue You, Guangyan Huang, Jian Cao, Enhong Chen, Jing He, Yanchun Zhang, Liang Hu:
GEAM: A General and Event-Related Aspects Model for Twitter Event Detection. WISE (2) 2013: 319-332 - [i9]Haocheng Wu, Yunhua Hu, Hang Li, Enhong Chen:
Query Segmentation for Relevance Ranking in Web Search. CoRR abs/1312.0182 (2013) - 2012
- [j23]Jingsong Lv, Victor C. S. Lee, Minming Li, Enhong Chen:
Profit-based scheduling and channel allocation for multi-item requests in real-time on-demand data broadcast systems. Data Knowl. Eng. 73: 23-42 (2012) - [j22]Hengshu Zhu, Enhong Chen, Huanhuan Cao, Jilei Tian:
Context-Aware Expert Finding in Tag Based Knowledge Sharing Communities. Int. J. Knowl. Syst. Sci. 3(1): 48-63 (2012) - [j21]Haiping Ma, Enhong Chen, Linli Xu, Hui Xiong:
Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning. Neurocomputing 92: 116-123 (2012) - [j20]Wanyong Tian, Chun Jason Xue, Minming Li, Enhong Chen:
Loop fusion and reordering for register file optimization on stream processors. J. Syst. Softw. 85(7): 1673-1681 (2012) - [j19]Tengfei Bao, Huanhuan Cao, Enhong Chen, Jilei Tian, Hui Xiong:
An unsupervised approach to modeling personalized contexts of mobile users. Knowl. Inf. Syst. 31(2): 345-370 (2012) - [j18]Zongda Wu, Guandong Xu, Yu Zong, Xun Yi, Enhong Chen, Yanchun Zhang:
Executing SQL queries over encrypted character strings in the Database-As-Service model. Knowl. Based Syst. 35: 332-348 (2012) - [j17]Weiwei Wu, Minming Li, Wanyong Tian, Chun Jason Xue, Enhong Chen:
Single and multiple device DSA problems, complexities and online algorithms. Theor. Comput. Sci. 420: 89-98 (2012) - [j16]Xueying Li, Huanhuan Cao, Enhong Chen, Jilei Tian:
Learning to Infer the Status of Heavy-Duty Sensors for Energy-Efficient Context-Sensing. ACM Trans. Intell. Syst. Technol. 3(2): 35:1-35:23 (2012) - [j15]Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding, Jian Chen:
Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking. IEEE Trans. Syst. Man Cybern. Part B 42(1): 218-233 (2012) - [c75]Hengshu Zhu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian:
Exploiting enriched contextual information for mobile app classification. CIKM 2012: 1617-1621 - [c74]Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang:
Leveraging tagging for neighborhood-aware probabilistic matrix factorization. CIKM 2012: 1854-1858 - [c73]Leilei Yang, Guiquan Liu, Qi Liu, Lei Zhang, Enhong Chen:
Analyzing Sequence Data Based on Conditional Random Fields with Co-training. CIS 2012: 94-98 - [c72]Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, Enhong Chen:
Kineograph: taking the pulse of a fast-changing and connected world. EuroSys 2012: 85-98 - [c71]Linli Xu, Bo Li, Enhong Chen:
Ensemble Pruning via Constrained Eigen-Optimization. ICDM 2012: 715-724 - [c70]Tong Xu, Dong Liu, Enhong Chen, Huanhuan Cao, Jilei Tian:
Towards Annotating Media Contents through Social Diffusion Analysis. ICDM 2012: 1158-1163 - [c69]Hengshu Zhu, Enhong Chen, Kuifei Yu, Huanhuan Cao, Hui Xiong, Jilei Tian:
Mining Personal Context-Aware Preferences for Mobile Users. ICDM 2012: 1212-1217 - [c68]Wenhui Yang, Guiquan Liu, Lei Zhang, Enhong Chen:
Multi-view learning with batch mode active selection for image retrieval. ICPR 2012: 979-982 - [c67]Bo Li, Fengxian Shi, Enhong Chen:
Messages Ranking in Social Network. Intelligent Information Processing 2012: 268-275 - [c66]Yu Zong, Guandong Xu, Ping Jin, Xun Yi, Enhong Chen, Zongda Wu:
A projective clustering algorithm based on significant local dense areas. IJCNN 2012: 1-8 - [c65]Lei Zhang, Linpeng Tang, Ping Luo, Enhong Chen, Limei Jiao, Min Wang, Guiquan Liu:
Harnessing the wisdom of the crowds for accurate web page clipping. KDD 2012: 570-578 - [c64]Xueying Li, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian:
BP-growth: Searching Strategies for Efficient Behavior Pattern Mining. MDM 2012: 238-247 - [c63]Tengfei Bao, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian:
Mining Significant Places from Cell ID Trajectories: A Geo-grid Based Approach. MDM 2012: 288-293 - [c62]Tengfei Bao, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian:
A Demonstration of Mining Significant Places from Cell ID Trajectories through a Geo-grid Based Approach. MDM 2012: 328-331 - [c61]Junyuan Xie, Linli Xu, Enhong Chen:
Image Denoising and Inpainting with Deep Neural Networks. NIPS 2012: 350-358 - [c60]Chengjun Dai, Guiquan Liu, Lei Zhang, Enhong Chen:
Storage Device Performance Prediction with Hybrid Regression Models. PDCAT 2012: 556-559 - [c59]Yu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, Shafqat Ali Shad:
On Approximation of Real-World Influence Spread. ECML/PKDD (2) 2012: 548-564 - [c58]Qi Liu, Biao Xiang, Enhong Chen, Yong Ge, Hui Xiong, Tengfei Bao, Yi Zheng:
Influential seed items recommendation. RecSys 2012: 245-248 - [c57]Jingsong Lv, Victor C. S. Lee, Minming Li, Enhong Chen:
Admission Control and Channel Allocation of Multi-item Requests for Real-Time Data Broadcast. RTCSA 2012: 202-211 - [c56]Weiwei Wu, Minming Li, He Huang, Enhong Chen:
Speed Scaling Problems with Memory/Cache Consideration. TAMC 2012: 412-422 - [c55]Jingsong Lv, Victor C. S. Lee, Minming Li, Enhong Chen:
Supporting Multi-level Quality of Services in Data Broadcast Systems. WASA 2012: 142-153 - [c54]Haiping Ma, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian:
A habit mining approach for discovering similar mobile users. WWW 2012: 231-240 - [i8]Biao Xiang, Enhong Chen, Qi Liu, Hui Xiong, Yu Yang, Junyuan Xie:
A Social Influence Model Based On Circuit Theory. CoRR abs/1205.6024 (2012) - [i7]Biao Xiang, Enhong Chen, Hui Xiong, Qi Liu:
A Linear Circuit Model For Social Influence. CoRR abs/1206.1105 (2012) - [i6]Shafqat Ali Shad, Enhong Chen:
Spatial Outlier Detection from GSM Mobility Data. CoRR abs/1206.5587 (2012) - [i5]Shafqat Ali Shad, Enhong Chen:
Cell Oscillation Resolution in Mobility Profile Building. CoRR abs/1206.5795 (2012) - [i4]Shafqat Ali Shad, Enhong Chen:
Precise Location Acquisition of Mobility Data Using Cell-id. CoRR abs/1206.6099 (2012) - [i3]Shafqat Ali Shad, Enhong Chen, Faisal Malik Faisal Azeem:
Enterprise Resource Planning - Real blessing or a Blessing in Disguise : An Exploration of the Contextual Factors in Public Sector. CoRR abs/1207.2860 (2012) - [i2]Shafqat Ali Shad, Enhong Chen, Faisal Malik Faisal Azeem:
Performance Enhancement Factors of ERP Projects in a Telecom Public Sector Organization of Pakistan : An Exploratory Study. CoRR abs/1207.2862 (2012) - 2011
- [j14]Qiming Luo, Enhong Chen, Hui Xiong:
A semantic term weighting scheme for text categorization. Expert Syst. Appl. 38(10): 12708-12716 (2011) - [j13]Yu Zong, Guandong Xu, Ping Jin, Yanchun Zhang, Enhong Chen:
HC_AB: A new heuristic clustering algorithm based on Approximate Backbone. Inf. Process. Lett. 111(17): 857-863 (2011) - [j12]Enhong Chen, Yanggang Lin, Hui Xiong, Qiming Luo, Haiping Ma:
Exploiting probabilistic topic models to improve text categorization under class imbalance. Inf. Process. Manag. 47(2): 202-214 (2011) - [j11]Weiwei Wu, Minming Li, Enhong Chen:
Min-energy scheduling for aligned jobs in accelerate model. Theor. Comput. Sci. 412(12-14): 1122-1139 (2011) - [j10]Zhen Liao, Daxin Jiang, Enhong Chen, Jian Pei, Huanhuan Cao, Hang Li:
Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion. ACM Trans. Intell. Syst. Technol. 3(1): 17:1-17:40 (2011) - [j9]Fan Ye, Qing Li, Enhong Chen:
Benefit based cache data placement and update for mobile peer to peer networks. World Wide Web 14(3): 243-259 (2011) - [c53]Yu Zong, Guandong Xu, Ping Jin, Yanchun Zhang, Enhong Chen, Rong Pan:
APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags. ADMA (1) 2011: 175-189 - [c52]Hengshu Zhu, Huanhuan Cao, Hui Xiong, Enhong Chen, Jilei Tian:
Towards expert finding by leveraging relevant categories in authority ranking. CIKM 2011: 2221-2224 - [c51]Guiquan Liu, Meiling Yao, Desheng Wang, Enhong Chen:
A novel three-phase XML twig pattern matching algorithm based on version tree. FSKD 2011: 1678-1688 - [c50]Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong:
Personalized Travel Package Recommendation. ICDM 2011: 407-416 - [c49]Qi Liu, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He:
Gaussian Process for Recommender Systems. KSEM 2011: 56-67 - [c48]Hengshu Zhu, Enhong Chen, Huanhuan Cao:
Finding Experts in Tag Based Knowledge Sharing Communities. KSEM 2011: 183-195 - [c47]Wanyong Tian, Jianhua Li, Yingchao Zhao, Chun Jason Xue, Minming Li, Enhong Chen:
Optimal task allocation on non-volatile memory based hybrid main memory. RACS 2011: 1-6 - [c46]Wanyong Tian, Chun Jason Xue, Minming Li, Enhong Chen:
Loop fusion and reordering for register file optimization on stream processors. SAC 2011: 560-565 - 2010
- [j8]Wanyong Tian, Minming Li, Enhong Chen:
Energy optimal schedules for jobs with multiple active intervals. Theor. Comput. Sci. 411(3): 672-676 (2010) - [c45]Huanhuan Cao, Tengfei Bao, Qiang Yang, Enhong Chen, Jilei Tian:
An effective approach for mining mobile user habits. CIKM 2010: 1677-1680 - [c44]Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding:
Exploiting user interests for collaborative filtering: interests expansion via personalized ranking. CIKM 2010: 1697-1700 - [c43]Jiansheng Wu, Enhong Chen:
A Novel Hybrid Particle Swarm Optimization for Feature Selection and Kernel Optimization in Support Vector Regression. CIS 2010: 189-194 - [c42]Xin Li, Enhong Chen:
Graph-Based Answer Passage Ranking for Question Answering. CIS 2010: 634-638 - [c41]Yi Zheng, Qifeng Dai, Qiming Luo, Enhong Chen:
Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier. CoNLL Shared Task 2010: 151-156 - [c40]Tengfei Bao, Happia Cao, Enhong Chen, Jilei Tian, Hui Xiong:
An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users. ICDM 2010: 38-47 - [c39]Weiwei Wu, Wanyong Tian, Minming Li, Chun Jason Xue, Enhong Chen:
Single and Multiple Device DSA Problem, Complexities and Online Algorithms. ISAAC (2) 2010: 218-229 - [c38]Lei Zhang, Guiquan Liu, Xuechen Zhang, Song Jiang, Enhong Chen:
Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree. NPC 2010: 121-133 - [c37]Jingsong Lv, Victor C. S. Lee, Minming Li, Enhong Chen:
Profit-based on-demand broadcast scheduling of real-time multi-item requests. SAC 2010: 580-584 - [c36]Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, Enhong Chen, Hang Li:
Context-aware ranking in web search. SIGIR 2010: 451-458
2000 – 2009
- 2009
- [j7]Fan Ye, Enhong Chen, Qing Li, Xuxiang Chen:
SPF-A*: Searching Multimedia Data in Heterogeneous Mobile P2P Network. J. Multim. 4(2): 63-68 (2009) - [j6]Weiwei Wu, Minming Li, Enhong Chen:
Optimal tree structures for group key tree management considering insertion and deletion cost. Theor. Comput. Sci. 410(27-29): 2619-2631 (2009) - [c35]Huanhuan Cao, Enhong Chen, Jie Yang, Hui Xiong:
Enhancing recommender systems under volatile userinterest drifts. CIKM 2009: 1257-1266 - [c34]Biao Xiang, Enhong Chen, Tao Zhou:
Finding Community Structure Based on Subgraph Similarity. CompleNet 2009: 73-81 - [c33]Qifeng Dai, Enhong Chen, Liu Shi:
An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling. CoNLL Shared Task 2009: 19-24 - [c32]Weiwei Wu, Minming Li, Enhong Chen:
Min-Energy Scheduling for Aligned Jobs in Accelerate Model. ISAAC 2009: 462-472 - [c31]Jiansheng Wu, Enhong Chen:
A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network. ISNN (3) 2009: 49-58 - [c30]Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang:
Context-aware query classification. SIGIR 2009: 3-10 - [c29]Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, Hang Li:
Towards context-aware search by learning a very large variable length hidden markov model from search logs. WWW 2009: 191-200 - [i1]Biao Xiang, Enhong Chen, Tao Zhou:
Finding Community Structure Based on Subgraph Similarity. CoRR abs/0902.2425 (2009) - 2008
- [j5]Enhong Chen, Huanhuan Cao, Qing Li, Tieyun Qian:
Efficient strategies for tough aggregate constraint-based sequential pattern mining. Inf. Sci. 178(6): 1498-1518 (2008) - [c28]Weiwei Wu, Minming Li, Enhong Chen:
Optimal Tree Structures for Group Key Tree Management Considering Insertion and Deletion Cost. COCOON 2008: 521-530 - [c27]Enhong Chen, Liu Shi, Dawei Hu:
Probabilistic Model for Syntactic and Semantic Dependency Parsing. CoNLL 2008: 263-267 - [c26]Dawei Hu, Shenhua Gu, Shitong Wang, Liu Wenyin, Enhong Chen:
Question recommendation for user-interactive question answering systems. ICUIMC 2008: 39-44 - [c25]Weiwei Wu, Minming Li, Enhong Chen:
Optimal Key Tree Structure for Deleting Two or More Leaves. ISAAC 2008: 77-88 - [c24]Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, Hang Li:
Context-aware query suggestion by mining click-through and session data. KDD 2008: 875-883 - [c23]Fan Ye, Qing Li, Enhong Chen:
Adaptive caching with heterogeneous devices in mobile peer to peer network. SAC 2008: 1897-1901 - [c22]Xiaojun Quan, Enhong Chen, Qiming Luo, Hui Xiong:
Adaptive label-driven scaling for latent semantic indexing. SIGIR 2008: 827-828 - 2007
- [j4]Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen:
On the strength of hyperclique patterns for text categorization. Inf. Sci. 177(19): 4040-4058 (2007) - [c21]Fan Ye, Qing Li, Enhong Chen:
An evolution-based cache scheme for scalable mobile data access. Infoscale 2007: 41 - [c20]Xin Li, Dawei Hu, Tianyong Hao, Enhong Chen, Liu Wenyin:
An answer passage retrieval strategy for web-based question answering. Infoscale 2007: 57 - [c19]Dawei Hu, Huan Li, Tianyong Hao, Enhong Chen, Liu Wenyin:
Heuristic learning of rules for information extraction from web documents. Infoscale 2007: 61 - 2006
- [j3]Enhong Chen, Shu Wang, Phillip C.-Y. Sheu:
A Novel Approach of Table Detection and Analysis for Semantic Annotation. Int. J. Artif. Intell. Tools 15(3): 465-480 (2006) - [c18]Huantong Geng, Peng Zhao, Enhong Chen, Qingsheng Cai:
A Novel Automatic Text Summarization Study Based on Term Co-Occurrence. IEEE ICCI 2006: 601-606 - [c17]Min Li, Enhong Chen, Phillip C.-Y. Sheu:
A Chord-Based Novel Mobile Peer-to-Peer File Sharing Protocol. APWeb 2006: 806-811 - [c16]Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen:
Adapting association patterns for text categorization: weaknesses and enhancements. CIKM 2006: 782-783 - [c15]Enhong Chen, Xujia Chen, Phillip C.-Y. Sheu, Tieyun Qian:
An Evolutionary Computational Method for N-Connection Subgraph Discovery. ICTAI 2006: 169-178 - [c14]Dawei Hu, Liu Wenyin, Enhong Chen, Xiaoping Chen, Xin Li:
SIIPU*S: A Semantic Pattern Learning Algorithm. SKG 2006: 52 - 2005
- [j2]Tak-Lam Wong, Wai Lam, Enhong Chen:
Automatic Domain Ontology Generation from Web sites. Trans. SDPS 9(3): 29-38 (2005) - [c13]Enhong Chen, Feng Wang:
Dynamic Clustering Using Multi-objective Evolutionary Algorithm. CIS (1) 2005: 73-80 - [c12]Enhong Chen, Tongshu Li, Phillip C.-Y. Sheu:
A General Effective Framework for Monotony and Tough Constraint Based Sequential Pattern Mining. DaWaK 2005: 458-467 - [c11]Rui Song, Enhong Chen, Min Zhao:
SVM Based Automatic User Profile Construction for Personalized Search. ICIC (1) 2005: 475-484 - [c10]Enhong Chen, Gaofeng Wu:
An Ontology Learning Method Enhanced by Frame Semantics. ISM 2005: 374-382 - [c9]Zhenya Zhang, Shuguang Zhang, Enhong Chen, Xufa Wang, Hongmei Cheng:
TextCC: New Feed Forward Neural Network for Classifying Documents Instantly. ISNN (2) 2005: 232-237 - 2004
- [j1]Enhong Chen, Zhenya Zhang, Hans-Dieter Burkhard, Gabriela Lindemann:
Extending CC4 Neural Networks to Classify Real Life Documents. Informatica (Slovenia) 28(2): 173-180 (2004) - [c8]Qi Wang, Enhong Chen, Shu Wang:
Efficient Incremental Pattern Mining from Semi-structured Dataset. APWeb 2004: 211-216 - [c7]Zhenya Zhang, Enhong Chen, Jin Wang, Xufa Wang:
User-Focus Based Personalization Recommendation for Text Information Retrieval. APWeb 2004: 598-607 - [c6]Shu Wang, Enhong Chen:
An Instance Learning Approach for Automatic Semantic Annotation. CIS 2004: 962-968 - [c5]Zhenya Zhang, Enhong Chen, Jin Wang, Xufa Wang:
Enabling Personalization Recommendation With WeightedFP for Text Information Retrieval Based on User-Focus. ITCC (1) 2004: 272-276 - 2002
- [c4]Enhong Chen, Gong-Qing Wu, Gabriela Lindemann, Mirjam Minor:
Semistructured Data Store Mapping with XML and Its Reconstruction. ADBIS Research Communications 2002: 78-87 - 2001
- [c3]Shangfei Wang, Enhong Chen, Jing Hu, Xufa Wang:
Kansei-Oriented Image Retrieval. Active Media Technology 2001: 377-388 - [c2]Enhong Chen, Zhenya Zhang, Xufa Wang, Kazuyuki Aihara:
An Algorithm for Fast Recognition of Connected Row-Convex Constraint Networks. JFPLC 2001: 43-58
1990 – 1999
- 1999
- [c1]Enhong Chen, Xufa Wang:
Semi-Structured Data Extraction and Schema Knowledge Mining. EUROMICRO 1999: 2310-2317
Coauthor Index
[j220] [j205] [j202] [j197] [c436] [c433] [c429] [c426] [c421] [c420] [c419] [c417] [i175] [i174] [i173] [i172] [i171] [i168] [i165] [i162] [i154] [i147] [j190] [j189] [j181] [j180] [j178] [j174] [j173] [j172] [j171] [j169] [j164] [j163] [j162] [j160] [c414] [c413] [c412] [c406] [c402] [c393] [c389] [c385] [c381] [c378] [c376] [c375] [c374] [c372] [c367] [i127] [i126] [i120] [i113] [i107] [i103] [j153] [j149] [j135] [j132] [c361] [c352] [c348] [c343] [c342] [c328] [c327] [c325] [c320] [i86] [i80] [j116] [j111] [c313] [c309] [c298] [c295] [c294] [c291] [c289] [c285] [c283] [c280] [c271] [c269] [i74] [i66] [i65] [j90] [c267] [c265] [c261] [c259] [c258] [c256] [c252] [c241] [c240] [i51] [c230] [c228] [c215] [i45] [i44] [i40] [i37] [i36] [c209] [c207] [c203] [c190] [c189] [c188] [i22] [c178] [c174] [c157]
[j221] [j214] [j207] [j202] [j194] [c450] [c437] [c431] [c418] [i186] [i183] [i180] [i167] [i166] [i164] [i163] [i159] [i157] [i153] [i148] [i146] [i143] [i140] [i139] [i138] [i137] [i135] [i132] [j187] [j178] [j177] [j170] [j165] [j164] [j162] [j159] [c416] [c409] [c403] [c394] [c390] [c386] [c380] [c373] [c371] [c370] [c369] [c366] [i123] [i109] [i105] [i104] [i102] [i101] [i97] [i95] [i94] [j137] [j135] [j132] [c365] [c335] [c334] [c333] [c330] [c329] [c326] [c321] [c317] [c316] [i90] [i84] [i83] [i81] [i79] [i76] [j117] [j115] [j114] [c291] [c284] [c282] [c275] [c274] [c273] [c271] [i60] [c267] [c266] [c261] [c250] [c243] [c239] [c238] [i48] [c219] [c216] [i43] [j68] [c203] [i15] [c122] [c94] [c92]
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[j220] [j204] [j201] [j168] [c379] [c373] [i115] [j149] [j144] [c365] [c342] [c326] [j110] [c310] [c305] [i63] [j107] [j90] [c266] [i46] [c233] [c218] [c212] [i41] [j73] [j70] [c206] [c196] [c195] [i23] [j56] [c174] [c166] [c163] [j47] [j46] [c157] [c152] [c146] [c140] [c120] [c118] [c117] [c96] [c74]
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[j213] [j211] [j210] [j209] [j208] [j204] [j199] [j198] [j196] [c447] [c446] [c445] [c444] [c443] [c442] [c439] [c438] [c435] [c432] [c430] [c428] [c427] [c423] [c422] [i187] [i184] [i179] [i177] [i176] [i161] [i160] [i158] [i155] [i152] [i151] [i150] [i149] [i143] [i136] [i134] [i129] [j185] [j184] [j176] [j175] [j167] [j166] [j161] [c411] [c407] [c404] [c400] [c399] [c398] [c397] [c396] [c392] [c391] [c388] [c383] [c382] [c377] [i128] [i124] [i121] [i118] [i114] [i111] [i110] [i106] [i100] [i96] [i91] [j157] [j151] [j148] [j146] [j144] [j136] [j133] [j131] [c363] [c362] [c360] [c358] [c355] [c354] [c349] [c347] [c345] [c344] [c341] [c340] [c339] [c338] [c337] [c336] [c331] [c315] [i85] [i82] [j127] [j118] [j112] [j108] [c311] [c308] [c301] [c292] [c288] [c287] [c281] [c279] [c278] [c277] [c268] [i75] [i72] [i71] [i58] [j105] [j104] [j102] [j96] [j94] [j93] [j92] [j91] [j89] [j87] [c260] [c251] [c249] [c247] [c236] [j79] [c226] [c220] [c216] [c211] [c210] [i43] [i38] [i35] [i34] [i30] [j75] [j74] [c198] [c197] [c182] [c181] [i19] [c169] [c167] [c162] [c161] [j48] [c156] [c149] [c143] [c116] [j35] [c83] [c70] [c59]
[j218] [j212] [j202] [j197] [j181] [j164] [c394] [c387] [i116] [i104] [j147] [c364] [c322] [i89] [i87] [j111] [c313] [c312] [c303] [c291] [c286] [i73] [i67] [j96] [j94] [c264] [i54] [j85] [c235] [c234] [c225] [c217] [i42] [i40] [i29] [j74] [j73] [j66] [c190] [i22] [j59] [c178] [c167] [c163] [c153] [c147] [c141] [c96]
[j212] [j211] [j200] [j199] [j197] [j193] [c451] [j191] [j176] [i117] [i108] [i107] [j133] [j130] [j113] [j111] [c290] [c281] [i59] [j93] [j91] [j87] [c237] [c236] [j79] [c234] [c226] [c220] [c210] [i40] [i30] [j66] [c181] [i19] [j52] [c171] [c166] [j48] [c153] [c144] [c143] [j40] [j38] [c129] [c123] [c116] [c115] [c112] [j36] [j35] [j33] [j32] [j30] [j29] [c106] [c104] [c99] [c93] [c84] [c79] [j22] [c75] [c69] [c52] [c48]
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