张伟 - 华东师范大学 - 计算机科学与技术学院

个人简介

张伟，华东师范大学计算机学院/上海智能教育研究院教授、博士生导师，中国计算机学会高级会员、数据库专委会执行委员。本科毕业于哈尔滨工业大学计算机科学与技术学院，博士毕业于清华大学计算机科学与技术系，博士论文获清华大学优秀博士学位论文。攻读博士期间，曾在美国伊利诺伊大学香槟分校进行访学。长期从事数据挖掘、机器学习、智能教育等领域研究，在国际重要刊物和著名学术会议上发表论文近100篇（CCF A类期刊和会议论文近50篇），申请国家发明专利10余项（已授权5项）。主持科技部重点研发课题、国家自然科学基金重大培育和面上项目等，曾获ACM SIGMOD 中国新星奖，指导学生获得多项国际顶级会议学术竞赛冠亚军。 Education and Experience Professor, East China Normal University, Jan., 2022 - Now Zijiang Young Researcher, East China Normal University, July, 2016 - Dec., 2021 Ph.D., Department of Computer Science and Technology, Tsinghua University, Aug., 2011 - July, 2016 Advisor, Prof. Jianyong Wang Visiting Ph.D. Student, Department of Computer Science, University of Illinois Urbana-Champaign, Jan., 2015 - July, 2015 Advisor, Prof. Jiawei Han Undergraduate, School of Computer Science and Technology, Harbin Institute of Technology, Aug.,2007 - July, 2011 Advisor, Prof. Bing Qin Middle school and high school, Fengjie, Chongqing, Sep., 2001 - July, 2007 Awards and Competitions The 4th place of the KDD Cup 2023 on Multilingual Recommendation Challenge: Task 2 (in association with ACM SIGKDD'2023), 2023 The 2nd place of the WSDM Cup 2022 on Cross-Market Recommendation Competition (in association with WSDM'2022), 2022 The 1st place of the IJCAI 2021 - WhoIsWho Task2 (in association with IJCAI'2021), 2021 ACM SIGMOD China Rising Star Award, 2020 第37届CCF中国数据库学术会议获“萨师煊优秀学生论文奖”, 2020 The 5th place of the KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing (in association with ACM SIGKDD'2020), 2020 The 1st place of the Multimedia Grand Challenges for Social Media Prediction (SMP) (in association with ACM MM'2020), 2020 MCEA Young Researcher Travel Grant, PAKDD, 2019 The 2nd place of the Multimedia Grand Challenges for Social Media Prediction (SMP) (in association with ACM MM'2017), 2017 Shanghai Chenguang Scholar, Shanghai Municipal Education Commission, 2016 Excellent Doctoral Dissertation, Tsinghua University, 2016 Excellent Graduate, Beijing city, 2016 National Scholarship, Tsinghua University, 2015 Student Travel Award, ACM SIGKDD, 2015 National Scholarship, Tsinghua University, 2013 The 10th Place of the KDD Cup 2013 - Author-Paper Identification Challenge (Track 1) (in association with ACM SIGKDD'2013), 2013 Excellent Undergraduate, Heilongjiang Province, 2011 Excellent Undergraduate, Harbin Institute of Technology, 2011 National Scholarship, Harbin Institute of Technology, 2009

研究领域

Data Mining, Machine Learning, AI for Education Data Mining Recommender System, User Modeling, User-Generated Content Mining Machine Learning Interpretable Learning, Large Language Models, Knowledge Distillation AI for Education Knowledge Tracing, Adaptive Learning, Cognitive Diagnosis

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Learning Interpretable Rules for Scalable Data Representation and Classification Zhuo Wang, Wei Zhang*, Ning Liu, and Jianyong Wang* IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) (Regular Paper), 2023. Contrastive Personalized Exercise Recommendation with Reinforcement Learning Siyu Wu, Jun Wang, and Wei Zhang* IEEE Transactions on Learning Technologies (IEEE TLT) (Regular Paper), 2023. StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering Cong Xu, Jun Wang*, and Wei Zhang* IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) (Regular Paper), 2023. Knowledge-aware Collaborative Filtering with Pre-trained Language Model for Personalized Review-based Rating Prediction Quanxiu Wang, Xinlei Cao, Jianyong Wang, and Wei Zhang* IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) (Regular Paper), 2023. Conditional Pseudo-supervised Contrast for Data-Free Knowledge Distillation Renrong Shao, Wei Zhang*, and Jun Wang Pattern Recognition (PR) (Full Paper), 2023. Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing Jiajun Cui, Zeyuan Chen, Aimin Zhou, Jianyong Wang, and Wei Zhang* ACM Transactions on Information Systems (ACM TOIS) (Full Paper), 2023. Contrastive Author-aware Text Clustering Xudong Tang, Chao Dong, and Wei Zhang* Pattern Recognition (PR) (Full Paper), 2022. A KG-enhanced Multi-Graph Neural Network for Attentive Herb Recommendation Yuanyuan Jin, Wendi Ji, Wei Zhang, Xiangnan He, Xinyu Wang, and Xiaoling Wang IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE/ACM TCBB) (Regular Paper), 2021. Hierarchical Multi-Agent Reinforcement Learning for Allocating Guaranteed Display Ads Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang, Weinan Zhang, Wei Zhang*, Xiaofeng He*, Dijun Luo IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) (Full Paper), 2021. Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-based Recommendation Wen Wang, Wei Zhang*, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) (Regular Paper), 2021. Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation Wei Zhang, Zeyuan Chen, Hongyuan Zha, Jianyong Wang ACM Transactions on Information Systems (ACM TOIS) (Full Paper), 2021. Attentive Representation Learning with Adversarial Training for Short Text Clustering Wei Zhang, Chao Dong, Jianhua Yin, Jianyong Wang IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) (Regular Paper), 2021. Learning Social Relations and Spatiotemporal Trajectories for Next Check-in Inference Wenwei Liang, Wei Zhang* IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) (Full Paper), 2020. Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories Wei Zhang, Xin Lai, Jianyong Wang IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) (Full Paper), 2020. Adaptive Multi-Teacher Multi-level Knowledge Distillation Yuang Liu, Wei Zhang*, Jun Wang* Neurocomputing, 2020. Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction Wei Zhang, Jianyong Wang IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) (Regular Paper), 2016. Conference Papers Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning Jiajun Cui, Minghe Yu, Bo Jiang, Aimin Zhou, Jianyong Wang, and Wei Zhang* IEEE International Conference on Data Engineering (ICDE) (Full Paper), 2024. Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems Junhao Shen, Hong Qian, Wei Zhang, and Aimin Zhou AAAI Conference on Artificial Intelligence (AAAI) (Full Paper), 2024. DMT: Comprehensive Distillation with Multiple Self-supervised Teachers Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, and Wei Zhang* International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Full Paper), 2024. Learning to Binarize Continuous Features for Neuro-Rule Networks Wei Zhang, Yongxiang Liu, Zhuo Wang, and Jianyong Wang International Joint Conference on Artificial Intelligence (IJCAI) (Full Paper), 2023. Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang*, Hang Dong, Bo Qiao, Qingwei Lin*, Saravan Rajmohan, and Dongmei Zhang ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (Full Paper), 2023. Quantize Sequential Recommenders Without Private Data Lingfeng Shi, Yuang Liu, Jun Wang, and Wei Zhang* The Web conference (WWW) (Full Paper), 2023. Data-free Knowledge Distillation for Fine-grained Vision Categorization Renrong Shao, Wei Zhang*, Jianhua Yin, and Jun Wang* International Conference on Computer Vision (ICCV) (Full Paper), 2023. Self-Decoupling and Ensemble Distillation for Efficient Segmentation Yuang Liu, Wei Zhang*, and Jun Wang* AAAI Conference on Artificial Intelligence (AAAI) (Full Paper), 2023. From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang and Wei Zhang* Empirical Methods in Natural Language Processing (Findings of EMNLP) (Full Paper), 2023. Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu, and Wei Zhang ACM International Conference on Information and Knowledge Management (CIKM) (Full Paper), 2023. Dynamic Token-Pass Transformers for Semantic Segmentation Yuang Liu, Qiang Zhou, Jing Wang, Fan Wang, Jun Wang, and Wei Zhang* IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Full Paper), 2023. Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation Wei Zhang, Junbing Yan, Zhuo Wang, and Jianyong Wang The Web conference (WWW) (Full Paper), 2022. Multi-Knowledge Aggregation and Transfer for Semantic Segmentation Yuang Liu, Wei Zhang*, and Jun Wang* AAAI Conference on Artificial Intelligence (AAAI) (Full Paper), 2022. Effective Few-Shot Named Entity Linking by Meta-Learning Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, and Jianyong Wang IEEE International Conference on Data Engineering (ICDE) (Full Paper), 2022. Is it fair Resource allocation for differentiated services on demands Ran Zhang, Ning Liu, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, and Lizhen Cui IEEE International Conference on Web Services (ICWS) (Short Paper), 2022. Multi-view Pre-trained Model for Code Vulnerability Identification Xuxiang Jiang, Yinhao Xiao, Jun Wang, and Wei Zhang* International Conference on Wireless Algorithms, Systems, and Applications (WASA) (Full Paper), 2022. IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning Pan Lu, Liang Qiu, Jiaqi Chen, Tony Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, and Song-Chun Zhu Advances in Neural Information Processing Systems (NeurIPS) (Full Paper, Datasets and Benchmarks Track), 2021. Scalable Rule-Based Representation Learning for Interpretable Classification Zhuo Wang, Wei Zhang*, Ning Liu, and Jianyong Wang* Advances in Neural Information Processing Systems (NeurIPS) (Full Paper), 2021. Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation Zeyuan Chen, Wei Zhang*, Junchi Yan, Gang Wang, Jianyong Wang ACM International Conference on Information and Knowledge Management (CIKM) (Full Paper, Accepted), 2021. Zero-shot Adversarial Quantization Yuang Liu, Wei Zhang*, Jun Wang* IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Full Paper, Oral: 4%), 2021. Source-Free Domain Adaptation for Semantic Segmentation Yuang Liu, Wei Zhang*, Jun Wang* IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Full Paper), 2021. Graph-Based Tri-Attention Network for Answer Ranking in CQA Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang AAAI Conference on Artificial Intelligence (AAAI) (Full Paper), 2021. Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack Rui Zhang, Wei Zhang, Ning Liu, Jianyong Wang International Conference on Database Systems for Advanced Applications (DASFAA) (Full Paper), 2021. Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation Wen Wang, Wei Zhang*, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (Full Paper), 2020. Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network Yuanyuan Jing, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang IEEE International Conference on Data Engineering (ICDE) (Full Paper), 2020. Beyond Clicks: Modeling Multi-Relational Item Graph for Session-based Target Behavior Prediction Wen Wang, Wei Zhang*, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha The Web Conference (WWW) (Short Paper), 2020. Transparent Classification with Multilayer Logical Perceptrons and Random Binarization Zhuo Wang, Wei Zhang*, Ning Liu, Jianyong Wang* AAAI Conference on Artificial Intelligence (AAAI) (Full Paper, Oral: 5.9%), 2020. Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption Wei Zhang, Yue Ying, Pan Lu, Hongyuan Zha AAAI Conference on Artificial Intelligence (AAAI) (Full Paper), 2020. Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning Qianming Xue, Wei Zhang*, Hongyuan Zha AAAI Conference on Artificial Intelligence (AAAI) (Full Paper), 2020. HyFea: Winning Solution to Social Media Popularity Prediction for Multimedia Grand Challenge 2020 Xin Lai, Yihong Zhang, Wei Zhang* ACM Multimedia Conference (MM) (Multimedia Grand Challenge), 2020. Sequential Multi-fusion Network for Multi-Channel Video CTR Prediction Wen Wang, Wei Zhang*, Wei Feng, Hongyuan Zha International Conference on Database Systems for Advanced Applications (DASFAA) (Full Paper), 2020. Improved Representations for Personalized Document-Level Sentiment Classification Yihong Zhang, Wei Zhang* International Conference on Database Systems for Advanced Applications (DASFAA) (Full Paper), 2020. Coupled Graph Neural Networks for Text-oriented Clinical Diagnosis Inference Ning Liu, Wei Zhang, Xiuxing Li, Haitao Yuan, Jianyong Wang International Conference on Database Systems for Advanced Applications (DASFAA) (Full Paper), 2020. Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model Yushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du ACM International Conference on Information and Knowledge Management (CIKM) (Full Paper), 2019. Learning Robust Representations with Graph Denoising Policy Network Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Hongyuan Zha, Wei Zhang, Xiaofeng He, Haifeng Chen IEEE International Conference on Data Mining (ICDM) (Short Paper), 2019. Content-Based Video Relevance Prediction with Multi-View Multi-Level Deep Interest Network Zeyuan Chen, Kai Xu, Wei Zhang* ACM Multimedia Conference (MM) (Multimedia Grand Challenge), 2019. Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction Ning Liu, Pan Lu, Wei Zhang*, Jianyong Wang IEEE International Conference on Data Engineering (ICDE) (Full Paper), 2019. Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning Lu Wang, Wei Zhang*, Xiaofeng He* International Conference on Database Systems for Advanced Applications (DASFAA) (Full Paper), 2019. Deep Sequential Multi-Task Modeling for Next Check-in Time and Location Prediction Wenwei Liang, Wei Zhang*, Xiaoling Wang International Conference on Database Systems for Advanced Applications (DASFAA) (Short Paper), 2019. A Novel Hybrid Sequential Model for Review-Based Rating Prediction Yuanquan Lu, Wei Zhang*, Pan Lu, Jianyong Wang Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (Full Paper), 2019. Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation Lu Wang, Wei Zhang*, Xiaofeng He*, Hongyuan Zha ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (Full Paper), 2018. R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering Pan Lu, Lei Ji, Wei Zhang*, Nan Duan, Ming Zhou, Jianyong Wang ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (Full Paper), 2018. Model-Based Clustering of Short Text Streams Jianhua Yin, Daren Chao, Zhongkun Liu, Wei Zhang*, Xiaohui Yu, Jianyong Wang ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (Full Paper), 2018. User-Guided Hierarchical Attention Network for Multi-Modal Social Image Popularity Prediction Wei Zhang, Wen Wang, Jun Wang, Hongyuan Zha The Web Conference (WWW) (Full Paper), 2018. Learning to Detect Pathogenic Microorganism of Community-Acquired Pneumonia Wenwei Liang, Wei Zhang*, Bo Jin, Jiangjiang Xu, Linhua Shu, Hongyuan Zha ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (Short Paper), 2018. Learning Sequential Correlation for User Generated Textual Content Popularity Prediction Wen Wang, Wei Zhang*, Jun Wang, Junchi Yan, Hongyuan Zha International Joint Conference on Artificial Intelligence (IJCAI) (Full Paper), 2018. Co-Attending Free-Form Regions and Detections with Multi-Modal Multiplicative Feature Embedding for Visual Question Answering Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang AAAI Conference on Artificial Intelligence (AAAI) (Full Paper), 2018. Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction Huizhe Wu, Wei Zhang*, Weiwei Shen, Jun Wang ACM International Conference on Information and Knowledge Management (CIKM) (Short Paper), 2018. Factorization Meets Memory Network: Learning to Predict Activity Popularity Wen Wang, Wei Zhang*, Jun Wang International Conference on Database Systems for Advanced Applications (DASFAA) (Full Paper), 2018. Personalized Prescriptions for Comorbidity Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha International Conference on Database Systems for Advanced Applications (DASFAA) (Full Paper), 2018. Combining Multiple Features for Image Popularity Prediction in Social Media Wen Wang, Wei Zhang* ACM Multimedia Conference (MM) (Multimedia Grand Challenge), 2017. Periodic Region Detection for Mobility Modeling of Social Media Users Quan Yuan, Wei Zhang, Chao Zhang, Xinhe Geng, Gao Cong, Jiawei Han ACM International Conference on Web Search and Data Mining (WSDM) (Full Paper), 2017. Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction Wei Zhang, Quan Yuan, Jiawei Han, Jianyong Wang International Joint Conference on Artificial Intelligence (IJCAI) (Full Paper), 2016. Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest Recommendation Wei Zhang, Jianyong Wang ACM International Conference on Information and Knowledge Management (CIKM) (Full Paper), 2015. A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation Wei Zhang, Jianyong Wang ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (Full Paper), 2015. Prior-based Dual Additive Latent Dirichlet Allocation for User-Item Connected Documents Wei Zhang, Jianyong Wang International Joint Conference on Artificial Intelligence (IJCAI) (Full Paper), 2015. StreamCube: Hierarchical Spatio-Temporal Hashtag Clustering for Event Exploration over the Twitter Stream Wei Feng, Chao Zhang, Wei Zhang, Jiawei Han, Jianyong Wang, Charu Aggarwal, Jianbin Huang IEEE International Conference on Data Engineering (ICDE) (Full Paper), 2015. Combining Latent factor Model with Location Features for Event-Based Group Recommendation Wei Zhang, Jianyong Wang, Wei Feng ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (Full Paper), 2013. Integrating Semantic Relatedness and Words’ Intrinsic Features for Keyword Extraction Wei Zhang, Wei Feng, Jianyong Wang International Joint Conference on Artificial Intelligence (IJCAI) (Full Paper), 2013. Improving Noun Compounds Identification with Verb-Centered Dependency Relations Ruiji Fu, Wei Zhang, Bing Qin, Ting Liu Journal of Computational Information Systems (JCIS), 2011.