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2020 – today
- 2024
[j29]Huimin Xu
, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding:
The impact of heterogeneous shared leadership in scientific teams. Inf. Process. Manag. 61(1): 103542 (2024)- [j28]Yunhan Yang, Chenwei Zhang, Huimin Xu, Yi Bu, Meijun Liu, Ying Ding:
Unveiling the loss of exceptional women in science. Inf. Process. Manag. 61(6): 103829 (2024) - [j27]Mingzhe Quan, Chenwei Zhang:
Does disseminating scientific information on social media promote public health during the COVID-19 pandemic? J. Assoc. Inf. Sci. Technol. 75(10): 1166-1181 (2024) - [j26]Qiuhua Yi, Xiangfan Chen, Chenwei Zhang, Zehai Zhou, Linan Zhu, Xiangjie Kong:
Diffusion models in text generation: a survey. PeerJ Comput. Sci. 10: e1905 (2024) - [j25]Shumin Feng, Keren Dai, Tiegang Sun, Jin Deng, Guangmin Tang, Yakun Han, Weijia Ren, Xiaoru Sang, Chenwei Zhang, Hao Wang:
Mini-Satellite Fucheng 1 SAR: Interferometry to Monitor Mining-Induced Subsidence and Comparative Analysis with Sentinel-1. Remote. Sens. 16(18): 3457 (2024) - [j24]Chenwei Zhang, Ying Wang, Tao Zheng, Chen Wang, Kaifeng Zhang:
Identifying critical weak points of power-gas integrated energy system based on complex network theory. Reliab. Eng. Syst. Saf. 246: 110054 (2024) - [j23]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu:
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. 36(5): 2026-2040 (2024) - [c64]Linan Zhu, Xiangfan Chen, Xiaolei Guo, Chenwei Zhang, Zhechao Zhu, Zehai Zhou, Xiangjie Kong:
Pinpointing Diffusion Grid Noise to Enhance Aspect Sentiment Quad Prediction. ACL (Findings) 2024: 3717-3726 - [c63]Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang Nguyen, Philip S. Yu:
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products. ACL (Findings) 2024: 8631-8643 - [c62]Hoang Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu:
CORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts. LREC/COLING 2024: 4008-4020 - [i54]Jiang Wu, Hongbo Wang, Chunhe Ni, Chenwei Zhang, Wenran Lu:
Data Pipeline Training: Integrating AutoML to Optimize the Data Flow of Machine Learning Models. CoRR abs/2402.12916 (2024) - [i53]Chenwei Zhang, Wenran Lu, Chunhe Ni, Hongbo Wang, Jiang Wu:
Enhanced User Interaction in Operating Systems through Machine Learning Language Models. CoRR abs/2403.00806 (2024) - [i52]Chunhe Ni, Jiang Wu, Hongbo Wang, Wenran Lu, Chenwei Zhang:
Enhancing Cloud-Based Large Language Model Processing with Elasticsearch and Transformer Models. CoRR abs/2403.00807 (2024) - [i51]Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu:
CORI: CJKV Benchmark with Romanization Integration - A step towards Cross-lingual Transfer Beyond Textual Scripts. CoRR abs/2404.12618 (2024) - [i50]Chenwei Zhang, Anne Condon, Khanh Dao Duc:
Synthetic High-resolution Cryo-EM Density Maps with Generative Adversarial Networks. CoRR abs/2407.17674 (2024) - [i49]Yuxuan Hu, Minghuan Tan, Chenwei Zhang, Zixuan Li, Xiaodan Liang, Min Yang, Chengming Li, Xiping Hu:
APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation. CoRR abs/2407.21048 (2024) - [i48]Yuxuan Hu, Chenwei Zhang, Min Yang, Xiaodan Liang, Chengming Li, Xiping Hu:
Learning to Generalize Unseen Domains via Multi-Source Meta Learning for Text Classification. CoRR abs/2409.13787 (2024) - 2023
- [j22]Linan Zhu, Zhechao Zhu, Chenwei Zhang, Yifei Xu, Xiangjie Kong:
Multimodal sentiment analysis based on fusion methods: A survey. Inf. Fusion 95: 306-325 (2023) - [j21]Zhi Liu, Deju Zhang, Chenwei Zhang, Jixin Bian, Junhui Deng, Guojiang Shen, Xiangjie Kong:
KDRank: Knowledge-driven user-aware POI recommendation. Knowl. Based Syst. 278: 110884 (2023) - [c61]Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. ACL (industry) 2023: 172-185 - [c60]Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li:
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. ACL (Findings) 2023: 2026-2041 - [c59]Hoang Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu:
Enhancing Cross-lingual Transfer via Phonemic Transcription Integration. ACL (Findings) 2023: 9163-9175 - [c58]Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. ACL (Findings) 2023: 10105-10118 - [c57]Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. ACL (Findings) 2023: 10221-10234 - [c56]Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang, Jinho D. Choi:
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach. ACL (1) 2023: 12223-12239 - [c55]Dapeng Shan, Deliang Wang, Chenwei Zhang, Ben Kao, Carol K. K. Chan:
Annotating Educational Dialog Act with Data Augmentation in Online One-on-One Tutoring. AIED (Posters/Late Breaking Results/...) 2023: 472-477 - [c54]Jordan Lovrod, Boyan Beronov, Chenwei Zhang, Erik Winfree, Anne Condon:
Revisiting Hybridization Kinetics with Improved Elementary Step Simulation. DNA 2023: 5:1-5:24 - [c53]Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu:
Knowledge-Selective Pretraining for Attribute Value Extraction. EMNLP (Findings) 2023: 8062-8074 - [c52]Hoang Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu:
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. EMNLP 2023: 12109-12119 - [c51]Yibo Wang, Chenwei Zhang, Heqiao Wang, Shuya Lu, Ray LC:
Gesture-Bot: Design and Evaluation of Simple Gestures of a Do-it-yourself Telepresence Robot for Remote Communication. HRI (Companion) 2023: 102-106 - [c50]Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon:
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings. MLCB 2023: 148-162 - [c49]Chenwei Zhang, Yuxuan Hu, Min Yang, Chengming Li, Xiping Hu:
Skeletal Spatial-Temporal Semantics Guided Homogeneous-Heterogeneous Multimodal Network for Action Recognition. ACM Multimedia 2023: 3657-3666 - [c48]Mi Tian, Yanwen Wang, Zheng Wang, Junhua Situ, Xiaoqi Sun, Xiaokang Shi, Chenwei Zhang, Jiaxing Shen:
RemoteGesture: Room-scale Acoustic Gesture Recognition for Multiple Users. SECON 2023: 231-239 - [c47]Zheng Wang, Yanwen Wang, Xiaoqi Sun, Chenwei Zhang:
Poster Abstract: UltraFlame: Ultrasonic-Based Fire Source Localization and Fire Severity Assessment System. SenSys 2023: 522-523 - [c46]Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Philip S. Yu:
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning. SIGDIAL 2023: 470-481 - [c45]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR 2023: 2436-2440 - [i47]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR abs/2305.03503 (2023) - [i46]Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. CoRR abs/2305.16663 (2023) - [i45]Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang, Jinho D. Choi:
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach. CoRR abs/2305.18350 (2023) - [i44]Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li:
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. CoRR abs/2306.01016 (2023) - [i43]Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding:
The Impact of Heterogeneous Shared Leadership in Scientific Teams. CoRR abs/2306.15804 (2023) - [i42]Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. CoRR abs/2307.01933 (2023) - [i41]Hoang Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu:
Enhancing Cross-lingual Transfer via Phonemic Transcription Integration. CoRR abs/2307.04361 (2023) - [i40]Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Philip S. Yu:
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning. CoRR abs/2308.04712 (2023) - [i39]Kai Li, Chenwei Zhang, Vincent Larivière:
Are research contributions assigned differently under the two contributorship classification systems in PLoS ONE? CoRR abs/2310.11687 (2023) - [i38]Hoang H. Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu:
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. CoRR abs/2310.14623 (2023) - [i37]Chenwei Zhang, Khanh Dao Duc, Anne Condon:
Visualizing DNA reaction trajectories with deep graph embedding approaches. CoRR abs/2311.03409 (2023) - [i36]Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon:
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings. CoRR abs/2311.03411 (2023) - 2022
- [j20]Chao Lu, Chenwei Zhang, Chengrui Xiao, Ying Ding:
Contributorship in scientific collaborations: The perspective of contribution-based byline orders. Inf. Process. Manag. 59(3): 102944 (2022) - [j19]Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric T. Meyer, Eduardo Salas, Ying Ding:
Team power dynamics and team impact: New perspectives on scientific collaboration using career age as a proxy for team power. J. Assoc. Inf. Sci. Technol. 73(10): 1489-1505 (2022) - [j18]Xianlei Dong, Jiahui Xu, Yi Bu, Chenwei Zhang, Ying Ding, Beibei Hu, Yang Ding:
Beyond correlation: Towards matching strategy for causal inference in Information Science. J. Inf. Sci. 48(6): 735-748 (2022) - [j17]Boyan Wang, Xuegang Hu, Chenwei Zhang, Pei-Pei Li, Philip S. Yu:
Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. Knowl. Based Syst. 238: 107882 (2022) - [j16]Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu:
Reply to issues about entitymetrics and paper-entity citation network. Scientometrics 127(4): 2127-2129 (2022) - [j15]Hao Chen, Chenwei Zhang, Jun Li, Philip S. Yu, Ning Jing:
KGGen: A Generative Approach for Incipient Knowledge Graph Population. IEEE Trans. Knowl. Data Eng. 34(5): 2254-2267 (2022) - [j14]Xiangjie Kong, Ning Li, Chenwei Zhang, Guojiang Shen, Zhaolong Ning, Tie Qiu:
Multi-Feature Representation Based COVID-19 Risk Stage Evaluation With Transfer Learning. IEEE Trans. Netw. Sci. Eng. 9(3): 1359-1375 (2022) - [c44]Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu:
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. NAACL-HLT 2022: 5970-5980 - [c43]Runze Wang, Zehua Zhang, Yueqin Zhang, Zhongyuan Jiang, Shilin Sun, Chenwei Zhang:
Sparse Imbalanced Drug-Target Interaction Prediction via Heterogeneous Data Augmentation and Node Similarity. PAKDD (1) 2022: 548-561 - [c42]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. WWW 2022: 3153-3161 - [i35]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. CoRR abs/2204.13874 (2022) - [i34]Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu:
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. CoRR abs/2205.02225 (2022) - [i33]Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang, Lijie Wen, Irwin King, Philip S. Yu:
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction. CoRR abs/2211.06014 (2022) - 2021
- [j13]Linfei Yin, Chenwei Zhang, Yaoxiong Wang, Fang Gao, Jun Yu, Lefeng Cheng:
Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems. IEEE Access 9: 31880-31891 (2021) - [j12]Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu:
Analyzing knowledge entities about COVID-19 using entitymetrics. Scientometrics 126(5): 4491-4509 (2021) - [c41]Xuming Hu, Chenwei Zhang, Fukun Ma, Chenyao Liu, Lijie Wen, Philip S. Yu:
Semi-supervised Relation Extraction via Incremental Meta Self-Training. EMNLP (Findings) 2021: 487-496 - [c40]Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu:
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. EMNLP (1) 2021: 2737-2746 - [c39]Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong:
All You Need to Know to Build a Product Knowledge Graph. KDD 2021: 4090-4091 - [c38]Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. WWW 2021: 3258-3268 - [i32]Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. CoRR abs/2102.11479 (2021) - [i31]Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric T. Meyer, Eduardo Salas, Ying Ding:
Team Power and Hierarchy: Understanding Team Success. CoRR abs/2108.04108 (2021) - [i30]Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu:
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. CoRR abs/2109.06415 (2021) - 2020
- [j11]Chao Lu, Yingyi Zhang, Yong-Yeol Ahn, Ying Ding, Chenwei Zhang, Dandan Ma:
Co-contributorship network and division of labor in individual scientific collaborations. J. Assoc. Inf. Sci. Technol. 71(10): 1162-1178 (2020) - [j10]Yaliang Li, Chaochun Liu, Nan Du, Wei Fan, Qi Li, Jing Gao, Chenwei Zhang, Hao Wu:
Extracting Medical Knowledge from Crowdsourced Question Answering Website. IEEE Trans. Big Data 6(2): 309-321 (2020) - [j9]Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu:
Generative temporal link prediction via self-tokenized sequence modeling. World Wide Web 23(4): 2471-2488 (2020) - [c37]Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo:
Med2Meta: Learning Representations of Medical Concepts with Meta-embeddings. HEALTHINF 2020: 369-376 - [c36]Congying Xia, Chenwei Zhang, Jiawei Zhang, Tingting Liang, Hao Peng, Philip S. Yu:
Low-shot Learning in Natural Language Processing. CogMI 2020: 185-189 - [c35]Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu:
Semantic Matching and Aggregation Network for Few-shot Intent Detection. EMNLP (Findings) 2020: 1209-1218 - [c34]Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu:
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. EMNLP (1) 2020: 3673-3682 - [c33]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
Entity Synonym Discovery via Multipiece Bilateral Context Matching. IJCAI 2020: 1431-1437 - [c32]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. KDD 2020: 2247-2257 - [c31]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [i29]Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding:
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN. CoRR abs/2004.01375 (2020) - [i28]Congying Xia, Chenwei Zhang, Hoang Nguyen, Jiawei Zhang, Philip S. Yu:
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection. CoRR abs/2004.01881 (2020) - [i27]Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu:
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. CoRR abs/2004.02438 (2020) - [i26]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR abs/2006.10276 (2020) - [i25]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020) - [i24]Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu:
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering. CoRR abs/2008.02434 (2020) - [i23]Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu:
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection. CoRR abs/2010.02481 (2020) - [i22]Xuming Hu, Fukun Ma, Chenyao Liu, Chenwei Zhang, Lijie Wen, Philip S. Yu:
Semi-supervised Relation Extraction via Incremental Meta Self-Training. CoRR abs/2010.16410 (2020)
2010 – 2019
- 2019
- [c30]Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu:
Multi-grained Named Entity Recognition. ACL (1) 2019: 1430-1440 - [c29]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
Joint Slot Filling and Intent Detection via Capsule Neural Networks. ACL (1) 2019: 5259-5267 - [c28]Shengnan Yang, Chenwei Zhang, Wenjuan Sang:
An Analysis on Charitable Crowdfunding in an Authoritarian Regime. ASIST 2019: 499-503 - [c27]Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CIKM 2019: 1643-1652 - [c26]Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu:
Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. ICDM 2019: 1366-1371 - [c25]Bowen Dong, Jiawei Zhang, Chenwei Zhang, Yang Yang, Philip S. Yu:
Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries. IJCNN 2019: 1-8 - [c24]Yi Bu, Zaida Chinchilla-Rodríguez, Chenwei Zhang, Yong Huang, Cassidy R. Sugimoto:
Investigating scientific collaboration through the sequence of authors in the publication bylines and the diversity of collaborators. ISSI 2019: 2300-2305 - [c23]Qian Guo, Haoyu Wang, Chenwei Zhang, Yao Guo, Guoai Xu:
AppNet: understanding app recommendation in Google Play. WAMA@ESEC/SIGSOFT FSE 2019: 19-25 - [c22]Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan:
MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. WWW 2019: 3041-3048 - [i21]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
SynonymNet: Multi-context Bilateral Matching for Entity Synonyms. CoRR abs/1901.00056 (2019) - [i20]Jiawei Zhang, Chenwei Zhang, Bowen Dong, Yang Yang, Philip S. Yu:
Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries. CoRR abs/1905.06365 (2019) - [i19]Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu:
Multi-Grained Named Entity Recognition. CoRR abs/1906.08449 (2019) - [i18]Chenwei Zhang:
Structured Knowledge Discovery from Massive Text Corpus. CoRR abs/1908.01837 (2019) - [i17]Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu:
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking. CoRR abs/1908.04573 (2019) - [i16]Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CoRR abs/1908.05604 (2019) - [i15]Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo:
Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare. CoRR abs/1910.06456 (2019) - [i14]Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo:
Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction. CoRR abs/1910.06492 (2019) - [i13]Chao Lu, Yingyi Zhang, Yong-Yeol Ahn, Ying Ding, Chenwei Zhang, Dandan Ma:
Co-contributorship Network and Division of Labor in Individual Scientific Collaborations. CoRR abs/1911.10745 (2019) - [i12]Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu:
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling. CoRR abs/1911.11486 (2019) - [i11]Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo:
Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings. CoRR abs/1912.03366 (2019) - 2018
- [j8]Chenwei Zhang, Yi Bu, Ying Ding, Jian Xu:
Understanding scientific collaboration: Homophily, transitivity, and preferential attachment. J. Assoc. Inf. Sci. Technol. 69(1): 72-86 (2018) - [c21]Chenwei Zhang, Ruibin Wei, Xiaozhong Liu:
Drugs and bitcoins: What role do bitcoins play in the darknet market? A preliminary study. ASIST 2018: 944-945 - [c20]Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui:
Market Abnormality Period Detection via Co-movement Attention Model. IEEE BigData 2018: 1514-1523 - [c19]Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu:
Data-driven Blockbuster Planning on Online Movie Knowledge Library. IEEE BigData 2018: 1612-1617 - [c18]Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Zero-shot User Intent Detection via Capsule Neural Networks. EMNLP 2018: 3090-3099 - [c17]Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui:
Deep Co-Investment Network Learning for Financial Assets. ICBK 2018: 41-48 - [c16]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
On the Generative Discovery of Structured Medical Knowledge. KDD 2018: 2720-2728 - [c15]Shaika Chowdhury, Chenwei Zhang, Philip S. Yu:
Multi-Task Pharmacovigilance Mining from Social Media Posts. WWW 2018: 117-126 - [i10]Shaika Chowdhury, Chenwei Zhang, Philip S. Yu:
Multi-Task Pharmacovigilance Mining from Social Media Posts. CoRR abs/1801.06294 (2018) - [i9]Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow:
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection. CoRR abs/1803.08986 (2018) - [i8]Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Zero-shot User Intent Detection via Capsule Neural Networks. CoRR abs/1809.00385 (2018) - [i7]Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui:
Deep Co-investment Network Learning for Financial Assets. CoRR abs/1809.04227 (2018) - [i6]Yaliang Li, Liuyi Yao, Nan Du, Jing Gao, Qi Li, Chuishi Meng, Chenwei Zhang, Wei Fan:
Finding Similar Medical Questions from Question Answering Websites. CoRR abs/1810.05983 (2018) - [i5]Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu:
Data-driven Blockbuster Planning on Online Movie Knowledge Library. CoRR abs/1810.10175 (2018) - [i4]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
Joint Slot Filling and Intent Detection via Capsule Neural Networks. CoRR abs/1812.09471 (2018) - 2017
- [j7]Junxing Zhu, Jiawei Zhang, Chenwei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Philip S. Yu:
CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks. IEEE Access 5: 15283-15299 (2017) - [j6]Xianlei Dong, Jian Xu, Ying Ding, Chenwei Zhang, Kunpeng Zhang, Min Song:
Understanding the Correlations between Social Attention and Topic Trends of Scientific Publications. J. Data Inf. Sci. 1(1): 28-49 (2017) - [j5]Tehmina Amjad, Ying Ding, Jian Xu, Chenwei Zhang, Ali Daud, Jie Tang, Min Song:
Standing on the shoulders of giants. J. Informetrics 11(1): 307-323 (2017) - [j4]Hongping Wang, Xi Lu, Yuxian Du, Chenwei Zhang, Rehan Sadiq, Yong Deng:
Fault tree analysis based on TOPSIS and triangular fuzzy number. Int. J. Syst. Assur. Eng. Manag. 8(4s): 2064-2070 (2017) - [c14]Fucheng You, Yue Cao, Chenwei Zhang:
Deep Domain Adaptation with a Few Samples for Face Identification. ACPR 2017: 178-183 - [c13]Chao Lu, Yi Bu, Chenwei Zhang, Ying Ding, Vetle I. Torvik, Chengzhi Zhang:
Does collaboration bring high-impact studies? A preliminary study. ASIST 2017: 750-751 - [c12]Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu:
Bringing semantic structures to user intent detection in online medical queries. IEEE BigData 2017: 1019-1026 - [c11]Junxing Zhu, Jiawei Zhang, Lifang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang, Philip S. Yu:
Broad Learning based Multi-Source Collaborative Recommendation. CIKM 2017: 1409-1418 - [c10]Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu:
BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. ICDM 2017: 605-614 - [c9]Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow:
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection. KDD 2017: 747-755 - [c8]Yang Zhang, Chenwei Zhang, Xiaozhong Liu:
Dynamic Scholarly Collaborator Recommendation via Competitive Multi-Agent Reinforcement Learning. RecSys 2017: 331-335 - [i3]Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu:
Bringing Semantic Structures to User Intent Detection in Online Medical Queries. CoRR abs/1710.08015 (2017) - [i2]Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu:
BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder. CoRR abs/1711.09409 (2017) - 2016
- [j3]Chenwei Zhang, Xiaoyan Su, Yong Hu, Zili Zhang, Yong Deng:
An Evidential Spam-Filtering Framework. Cybern. Syst. 47(6): 427-444 (2016) - [c7]Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu:
Multi-source Hierarchical Prediction Consolidation. CIKM 2016: 2251-2256 - [c6]Ping Jian, Xiaohan She, Chenwei Zhang, Pengcheng Zhang, Jian Feng:
Discourse Relation Sense Classification Systems for CoNLL-2016 Shared Task. CoNLL Shared Task 2016: 158-163 - [c5]Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang:
Augmented LSTM Framework to Construct Medical Self-Diagnosis Android. ICDM 2016: 251-260 - [c4]Chenwei Zhang, Yisheng Liu:
Research on the strategy of "Go-global" for hydropower engineering construction enterprises. LISS 2016: 1-4 - [c3]Chenwei Zhang, Wei Fan, Nan Du, Philip S. Yu:
Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling Approach. WWW 2016: 1373-1384 - [i1]Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu:
Multi-source Hierarchical Prediction Consolidation. CoRR abs/1608.03344 (2016) - 2015
- [j2]Beibei Hu, Xianlei Dong, Chenwei Zhang, Timothy D. Bowman, Ying Ding, Stasa Milojevic, Chaoqun Ni, Erjia Yan, Vincent Larivière:
A lead-lag analysis of the topic evolution patterns for preprints and publications. J. Assoc. Inf. Sci. Technol. 66(12): 2643-2656 (2015) - 2014
- [j1]Chenwei Zhang, Yong Hu, Felix T. S. Chan, Rehan Sadiq, Yong Deng:
A new method to determine basic probability assignment using core samples. Knowl. Based Syst. 69: 140-149 (2014) - [c2]Yang Han, Chenwei Zhang, Xiangang Li, Yi Liu, Xihong Wu:
Query-based composition for large-scale language model in LVCSR. ICASSP 2014: 4898-4902 - 2013
- [c1]Chenwei Zhang, Jianbo Wang, Liang Shan, Jianshou Kong:
Study of waveform generation in simulation torque-loading system based on LabVIEW. ICCA 2013: 158-163
Coauthor Index
[j23] [c63] [c62] [i51] [c59] [c57] [c52] [c46] [c45] [i47] [i46] [i41] [i40] [i38] [j17] [j15] [c44] [i34] [i33] [c41] [c40] [i30] [j9] [c37] [c36] [c35] [c34] [c33] [i28] [i27] [i24] [i23] [i22] [c30] [c29] [c27] [c26] [c25] [i21] [i20] [i19] [i17] [i16] [i15] [i14] [i12] [i11] [c20] [c19] [c18] [c17] [c16] [c15] [i10] [i9] [i8] [i7] [i5] [i4] [j7] [c12] [c11] [c10] [c9] [i3] [i2] [c7] [c3] [i1]
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