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2020 – today
- 2024
[j30]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)- [j29]Yu Su, Shuanghong Shen, Linbo Zhu, Le Wu, Zhenya Huang, Zeyu Cheng, Qi Liu, Shijin Wang:
Global and local neural cognitive modeling for student performance prediction. Expert Syst. Appl. 237(Part C): 121637 (2024) - [j28]Yu Su, Xuejie Yang, Junyu Lu, Yu Liu, Ze Han, Shuanghong Shen, Zhenya Huang, Qi Liu:
Multi-task Information Enhancement Recommendation model for educational Self-Directed Learning System. Expert Syst. Appl. 252: 124073 (2024) - [j27]Yu Su, Ze Han, Shuanghong Shen, Xuejie Yang, Zhenya Huang, Jinze Wu, Huawei Zhou, Qi Liu:
Constructing a Confidence-guided Multigraph Model for cognitive diagnosis in personalized learning. Expert Syst. Appl. 252: 124259 (2024) - [j26]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) - [j25]Guanhao Zhao, Zhenya Huang, Yan Zhuang, Haoyang Bi, Yiyan Wang, Fei Wang, Zhiyuan Ma, Yixia Zhao:
A Diffusion-Based Cognitive Diagnosis Framework for Robust Learner Assessment. IEEE Trans. Learn. Technol. 17: 2281-2295 (2024) - [j24]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) - [j23]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) - [c85]Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang:
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework. AAAI 2024: 8679-8687 - [c84]Yuze Zhao, Zhenya Huang, Yixiao Ma, Rui Li, Kai Zhang, Hao Jiang, Qi Liu, Linbo Zhu, Yu Su:
RePair: Automated Program Repair with Process-based Feedback. ACL (Findings) 2024: 16415-16429 - [c83]Yuxiang Guo, Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su, Enhong Chen:
Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach. CIKM 2024: 727-736 - [c82]Shangzi Xue, Zhenya Huang, Xin Lin, Jiayu Liu, Longhu Qin, Tianhuang Su, Haifeng Liu, Qi Liu:
Enhancing the Completeness of Rationales for Multi-Step Question Answering. CIKM 2024: 2753-2763 - [c81]Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng:
Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework. DASFAA (4) 2024: 139-155 - [c80]Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang:
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models. EMNLP 2024: 2053-2065 - [c79]Cheng Cheng, Guanhao Zhao, Zhenya Huang, Yan Zhuang, Zhaoyuan Pan, Qi Liu, Xin Li, Enhong Chen:
Towards Explainable Computerized Adaptive Testing with Large Language Model. EMNLP (Findings) 2024: 2655-2672 - [c78]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 - [c77]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 - [c76]Haotian Zhang, Shuanghong Shen, Bihan Xu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang:
Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective. KDD 2024: 4167-4178 - [c75]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 - [c74]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 - [c73]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 - [c72]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 - [c71]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 - [c70]Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao:
Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling. WWW 2024: 3241-3252 - [c69]Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su:
Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm. WWW 2024: 3420-3431 - [c68]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 - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]Xin Xu, Tong Xiao, Zitong Chao, Zhenya Huang, Can Yang, Yang Wang:
Can LLMs Solve longer Math Word Problems Better? CoRR abs/2405.14804 (2024) - [i25]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) - [i24]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) - [i23]Yuze Zhao, Zhenya Huang, Yixiao Ma, Rui Li, Kai Zhang, Hao Jiang, Qi Liu, Linbo Zhu, Yu Su:
RePair: Automated Program Repair with Process-based Feedback. CoRR abs/2408.11296 (2024) - [i22]Bin Hong, Jinze Wu, Jiayu Liu, Liang Ding, Jing Sha, Kai Zhang, Shijin Wang, Zhenya Huang:
End-to-End Graph Flattening Method for Large Language Models. CoRR abs/2409.14880 (2024) - 2023
- [j22]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) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [j17]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) - [j16]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) - [j15]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) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [j10]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) - [j9]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) - [c67]Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu:
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. AAAI 2023: 4497-4506 - [c66]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 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]Linan Yue, Qi Liu, Li Wang, Yanqing An, Yichao Du, Zhenya Huang:
Interventional Rationalization. EMNLP 2023: 11404-11418 - [c60]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 - [c59]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 - [c58]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 - [c57]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 - [c56]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 - [c55]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 - [c54]Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang:
Learning from Crowds with Annotation Reliability. SIGIR 2023: 2103-2107 - [c53]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 - [c52]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 - [c51]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 - [i21]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) - [i20]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) - [i19]Jiayu Liu, Zhenya Huang, Chengxiang Zhai, Qi Liu:
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. CoRR abs/2302.05717 (2023) - [i18]Shuanghong Shen, Enhong Chen, Bihan Xu, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su:
Quiz-based Knowledge Tracing. CoRR abs/2304.02413 (2023) - [i17]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) - [i16]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) - [i15]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) - 2022
- [j8]Chang-Yang Wu, Xin Lin, Zhenya Huang, Yu Yin, Jia-Yu Liu, Qi Liu, Gang Zhou:
Clause-level Relationship-aware Math Word Problems Solver. Int. J. Autom. Comput. 19(5): 425-438 (2022) - [j7]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) - [j6]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) - [j5]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) - [j4]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) - [c50]Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma:
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. AAAI 2022: 4734-4742 - [c49]Zihang Tang, Hao Wang, Weibo Gao, Zhenya Huang, Qi Liu, Jun Yu:
Dependency and Association Enhanced Finding Similar Exercises in Online Education System. CCIS 2022: 31-39 - [c48]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 - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]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 - [i14]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) - [i13]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) - 2021
- [j3]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) - [j2]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) - [c39]Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao:
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction. AAAI 2021: 4072-4080 - [c38]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 - [c37]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 - [c36]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 - [c35]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 - [c34]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 - [c33]Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu:
Guided Attention Network for Concept Extraction. IJCAI 2021: 1449-1455 - [c32]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 - [c31]Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang:
Item Response Ranking for Cognitive Diagnosis. IJCAI 2021: 1750-1756 - [c30]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 - [c29]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 - [c28]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 - [c27]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 - [c26]Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su:
RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems. SIGIR 2021: 501-510 - [c25]Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang:
Federated Deep Knowledge Tracing. WSDM 2021: 662-670 - [c24]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 - [i12]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) - [i11]Qi Liu, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yonghe Zheng:
A Survey of Knowledge Tracing. CoRR abs/2105.15106 (2021) - [i10]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) - 2020
- [j1]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) - [c23]Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen:
A Variational Point Process Model for Social Event Sequences. AAAI 2020: 173-180 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]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 - [c16]Xin Wang, Wei Huang, Qi Liu, Yu Yin, Zhenya Huang, Le Wu, Jianhui Ma, Xue Wang:
Fine-Grained Similarity Measurement between Educational Videos and Exercises. ACM Multimedia 2020: 331-339 - [c15]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 - [c14]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 - [i9]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)
2010 – 2019
- 2019
- [c13]Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He:
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. AAAI 2019: 1052-1060 - [c12]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 - [c11]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 - [c10]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 - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He:
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. CoRR abs/1906.11081 (2019) - [i3]Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang:
Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems. CoRR abs/1908.08733 (2019) - [i2]Yunan Zhang, Xiang Cheng, Yufeng Zhang, Zihan Wang, Zhengqi Fang, Xiaoyan Wang, Zhenya Huang, Chengxiang Zhai:
Learning to Order Sub-questions for Complex Question Answering. CoRR abs/1911.04065 (2019) - 2018
- [c9]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 - [c8]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 - [c7]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 - [c6]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 - [c5]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 - [c4]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 - [i1]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) - 2017
- [c3]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 - [c2]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 - 2016
- [c1]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
Coauthor Index
Enhong Chen
aka: En-Hong Chen
aka: En-Hong Chen
[j30] [j26] [j24] [j23] [c83] [c79] [c78] [c77] [c75] [c74] [c73] [c72] [c71] [c68] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i25] [i24] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [c66] [c65] [c64] [c63] [c62] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [i21] [i20] [i18] [i17] [i16] [i15] [j7] [j6] [j5] [j4] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [i14] [i13] [j3] [j2] [c38] [c37] [c36] [c35] [c34] [c32] [c30] [c29] [c28] [c27] [c25] [c24] [i12] [i11] [i10] [j1] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c15] [c14] [i9] [c12] [c11] [c10] [i8] [i7] [i6] [i5] [i3] [c9] [c8] [c7] [c6] [c5] [c4] [i1] [c3] [c2] [c1]
[j30] [j29] [j28] [j27] [j26] [j24] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c75] [c74] [c73] [c70] [c69] [c68] [i33] [i32] [i31] [i29] [i28] [i25] [i24] [i23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [c67] [c65] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c53] [c52] [c51] [i20] [i19] [i18] [i17] [i16] [i15] [j8] [j7] [j4] [c50] [c49] [c48] [c47] [c45] [c44] [c43] [c42] [c41] [c40] [i14] [i13] [j3] [j2] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [i12] [i11] [i10] [j1] [c22] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i9] [c13] [c12] [c11] [c10] [i8] [i7] [i6] [i5] [i4] [i3] [c9] [c8] [c7] [c6] [c5] [c4] [i1] [c3] [c2] [c1]
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