General

Wu Shu, Male, PhD Supervisor, Institute of Automation, Chinese Academy of Sciences.

Email: shu.wu@nlpr.ia.ac.cn

Mailing Address: Intelligent Building, No. 95 Zhongguancun East Road, Haidian District, Beijing, China.


Research Areas

Network Content Analysis and Security Big Data Analytics


Dr. Shu Wu received the BSc degree from Hunan University, China, in 2004, the MSc degree from Xiamen University, China, in 2007, and the PhD degree from the University of Sherbrooke, Canada, in 2012, all in computer science. He is currently an Associated Professor in the Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences. His research interests include data mining, recommendation systems, pervasive computing, and network data analytics. He is a distinguished member of the CCF, and a Senior Member of the IEEE, ACM and ACM SIGIR.

Education

September 2007 - July 2012: Sherbrooke University, Canada, PhD in Computer Science

September 2004 - July 2007: Xiamen University, China,Master's Degree in Computer Applications

September 2000 - July 2004: Hunan University, China,Bachelor's Degree in Computer Science and Technology


Experience

Work Experience

  • November 2016 - Present: Associate Researcher, State Key Laboratory of Pattern Recognition / National Laboratory of Multimodal AI Systems
  • September 2012 - October 2016: Research Assistant, State Key Laboratory of Pattern Recognition

Social Positions

  • December 1, 2023 - Present: Distinguished Member, China Computer Federation (CCF)
  • February 1, 2022 - Present: Member, Network Space Security Committee, China Electronics Society
  • January 1, 2022 - Present: Senior Member, Association for Computing Machinery (ACM)
  • October 1, 2021 - Present: Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
  • August 1, 2017 - Present: Committee Member, Pattern Recognition Committee, Chinese Association for Artificial Intelligence


Publications

   
Papers
(1) Text-Guided Molecule Generation with Diffusion Language Model, AAAI Conference on Artificial Intelligence (AAAI), 2024, 通讯作者
(2) CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction, SIAM International Conference on Data Mining, 2024, 第 3 作者
(3) Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables, AAAI Conference on Artificial Intelligence (AAAI), 2024, 通讯作者
(4) Rethinking Graph Masked Autoencoders through Alignment and Uniformity, AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI), 2024, 通讯作者
(5) Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization, IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 2024, 通讯作者
(6) Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection, Proceedings of the ACM Web Conference (WWW), 2024, 第 4 作者
(7) Molecular Contrastive Pretraining with Collaborative Featurizations, Journal of Chemical Information and Modeling (JCIM), 2024, 第 6 作者
(8) Explainable enterprise credit rating using deep feature crossing, Expert Systems With Applications, 2023, 第 3 作者
(9) Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction, Empirical Methods in Natural Language Processing Findings (EMNLP Findings), 2023, 第 3 作者
(10) Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks, TKDE, 2023, 第 4 作者
(11) RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 通讯作者
(12) Learning Latent Relations for Temporal Knowledge Graph Reasoning, Annual Meeting of the Association for Computational Linguistics (ACL), 2023, 第 4 作者
(13) Counterfactual Debiasing for Fact Verification, Annual Meeting of the Association for Computational Linguistics (ACL), 2023, 第 3 作者
(14) Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 第 5 作者
(15) GSLB: The Graph Structure Learning Benchmark, Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track. 2023., 2023, 第 10 作者
(16) Improving Multi-Task GNNs for Molecular Property Prediction via Missing Label Imputation, Machine Intelligence Research (MIR), 2023, 通讯作者
(17) A Robust Multi-site Brain Network Analysis Framework based on Federated Learning for Brain Disease Diagnosis, Neurocomputing, 2023, 第 3 作者
(18) AI in Human-computer Gaming: Techniques, Challenges and Opportunities, Machine Intelligence Research(MIR), 2023, 第 8 作者
(19) Unsupervised Graph Representation Learning with Cluster-Aware Self-Training and Refining, ACM Transactions on Intelligent Systems and Technology (TIST), 2023, 第 5 作者
(20) Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation, ACM Special Interest Group on Information Retrieval(SIGIR), 2023, 第 3 作者
(21) Personalized Interest Sustainability Modeling for Sequential POI Recommendation, ACM International Conference on Information and Knowledge Management(CIKM), 2023, 第 4 作者
(22) Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning, The 32th International World Wide Web Conference (WWW), 2023, 第 4 作者
(23) Uncovering Neural Scaling Law in Molecular Representation Learning, Conference on Neural Information Processing Systems (NeurIPS), 2023, 第 7 作者
(24) Evidence-aware Fake News Detection with Graph Neural Networks, Proceedings of the ACM Web Conference (WWW), 2022, 通讯作者
(25) Dynamic Graph Neural Networks for Sequential Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 通讯作者
(26) Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 第 5 作者
(27) Second-order Global Attention Networks for Graph Classification and Regression, CAAI International Conference on Artificial Intelligence (CAAI-CICAI), 2022, 第 3 作者
(28) DyGCN: Dynamic Graph Embedding with Graph Convolutional Network, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, 通讯作者
(29) A Unified Framework Based on Graph Consensus Term for Multiview Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, 第 5 作者
(30) Graph Classification by Mixture of Diverse Experts, PROCEEDINGS OF THE 31ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI), 2022, 通讯作者
(31) MetaTKG: learning evolutionary meta-knowledge for temporal knowledge graph reasoning, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022, 通讯作者
(32) A Survey on Deep Graph Generation: Methods and Application, Learning on Graphs Conference (LOG), 2022, 第 7 作者
(33) Personalized graph neural networks with attention mechanism for session-aware recommendation, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 第 2 作者
(34) Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention, ACM Special Interest Group on Information Retrieval(SIGIR), 2022, 第 4 作者
(35) Deep Contrastive Multiview Network Embedding, ACM International Conference on Information and Knowledge Management(CIKM), 2022, 第 4 作者
(36) The Devil is in the Conflict: Disentangled Information Graph Neural Networks For Fraud Detection, International Conference on Data Mining(ICDM), 2022, 第 4 作者
(37) Mining Latent Structures for Multimedia Recommendation, THE 30TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA(MM), 2021, 第 4 作者
(38) Deep Active Learning for Text Classification with Diverse Interpretations, Conference on Information and Knowledge Management(CIKM), 2021, 通讯作者
(39) Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval, PROCEEDINGS OF THE ACM WEB CONFERENCE(WWW), 2021, 通讯作者
(40) Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction, PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT(CIKM), 2021, 通讯作者
(41) GraphAIR: Graph representation learning with neighborhood aggregation and interaction, PATTERN RECOGNITION (PR), 2021, 通讯作者
(42) Label-informed Graph Structure Learning for Node Classification, PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MAN-AGEMENT(CIKM), 2021, 通讯作者
(43) A Graph-based Relevance Matching Model for Ad-hoc Retrieval, THE THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI), 2021, 通讯作者
(44) An Empirical Study of Graph Contrastive Learning, (CONFERENCE AND WORKSHOP ON NEURAL INFORMATION PROCESSING SYSTEMS(NEURIPS), 2021, 通讯作者
(45) Fully Hyperbolic Graph Convolution Network for Recommendation, PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MAN-AGEMENT(CIKM), 2021, 通讯作者
(46) Graph Contrastive Learning with Adaptive Augmentation, PROCEEDINGS OF THE ACM WEB CONFERENCE(WWW), 2021, 通讯作者
(47) Relation-aware Heterogeneous Graph for User Profiling, PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT(CIKM), 2021, 通讯作者
(48) Disentangled Item Representation for Recommender Systems, ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (TIST), 2021, 第 3 作者
(49) 基于深度学习的跨模态检索综述, Survey on deep learning based cross-modal retrieval, 中国图象图形学报, 2021, 第 4 作者
(50) TFNet: Multi-Semantic Feature Interaction for CTR Prediction, ACM SPECIAL INTEREST GROUP ON INFORMATION RETRIEVAL(SIGIR), 2020, 第 1 作者
(51) Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions, The 29th ACM International Conference on Information & Knowledge Management(CIKM), 2020, 通讯作者
(52) Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks, ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS(ACL), 2020, 第 4 作者
(53) Cold-start Sequential Recommendation via Meta Learner, AAAI TECHNICAL TRACK ON DATA MINING AND KNOWLEDGE MANAGEMENT(AAAI), 2020, 通讯作者
(54) Independence Promoted Graph Disentangled Networks, AAAI Technical Track: Machine Learning(AAAI), 2020, 第 3 作者
(55) MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 通讯作者
(56) Dynamic Graph Collaborative Filtering, 2020 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2020, 通讯作者
(57) Deep Graph Contrastive Representation Learning, GRL+@ICML, 2020, 第 5 作者
(58) TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation, ACM SPECIAL INTEREST GROUP ON INFORMATION RETRIEVAL(SIGIR), 2020, 通讯作者
(59) Fi-GNN: modeling feature interactions via graph neural networks for CTR prediction, ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (CIKM), 2019, 第 3 作者
(60) Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction, ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING(PAKDD), 2019, 通讯作者
(61) Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor, THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT(CIKM), 2019, 通讯作者
(62) Multi-view clustering via joint feature selection and partially constrained cluster label learning, PATTERN RECOGNITION, 2019, 第 3 作者
(63) Session-Based Recommendation with Graph Neural Networks, AAAI Technical Track: AI and the Web(AAAI), 2019, 通讯作者
(64) Semi-supervised Compatibility Learning across Categories for Clothing Matching, 2019 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2019, 通讯作者
(65) Semi-supervised Node Classification via Hierarchical Graph Convolutional Networks, INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-19), 2019, 第 3 作者
(66) Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction, 2019, 第 4 作者
(67) Dressing as a whole: outfit compatibility learning based on node-wise graph neural networks, THE WEB CONFERENCE (WWW), 2019, 通讯作者
(68) A hierarchical contextual attention-based network for sequential recommendation, NEUROCOMPUTING, 2019, 通讯作者
(69) Attention-based convolutional approach for misinformation identification from massive and noisy microblog posts, COMPUTERS & SECURITY, 2019, 第 3 作者
(70) Multiview Clustering via Unified and View-Specific Embeddings Learning, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS(IEEE), 2018, 第 2 作者
(71) Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach, ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY(TIST), 2018, 通讯作者
(72) Unified subspace learning for incomplete and unlabeled multi-view data, PATTERN RECOGNITION (PR), 2017, 第 2 作者
(73) Learning Shared and Specific Factors for Multi-modal Data, COMPUTER VISION, PT II, 2017, 第 3 作者
(74) Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2017, 第 2 作者
(75) DeepStyle: Learning User Preferences for Visual Recommendation, ACM SPECIAL INTEREST GROUP ON INFORMATION RETRIEVAL(SIGIR), 2017, 第 2 作者
(76) Blood Pressure Prediction via Recurrent Models with Contextual Layer, Proceedings of the 26th International Conference on World Wide Web(WWW), 2017, 第 2 作者
(77) A Convolutional Approach for Misinformation Identification, the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17), 2017, 第 3 作者
(78) Information Credibility Evaluation on Social Media, IN PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, 第 1 作者
(79) SAPE: A System for Situation-Aware Public Security Evaluation, THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, 通讯作者
(80) Context-aware Sequential Recommendation, IN PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2016, 第 2 作者
(81) A Dynamic Recurrent Model for Next Basket Recommendation, PROCEEDINGS OF THE 39TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2016, 第 3 作者
(82) Coupled Topic Model for Collaborative Filtering With User-Generated Content, IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2016, 通讯作者
(83) Contextual Operation for Recommender Systems, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING(TKDE), 2016, 通讯作者
(84) Personalized ranking with pairwise Factorization Machines, NEUROCOMPUTING, 2016, 通讯作者
(85) SAPE: A System for Situation-Aware Public Security Evaluation, IN PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, 第 1 作者
(86) Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts, IN PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI), 2016, 2016, 第 2 作者
(87) 情境大数据建模及其在用户行为预测中的作用, 大数据, 2016, 第 1 作者
(88) PARTIALLY TAGGED IMAGE CLUSTERING, 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2015, 第 2 作者
(89) Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation, IN PROCEEDINGS OF THE 24TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (CIKM), 2015, 2015, 第 1 作者
(90) Adaptive Pairwise Learning for Personalized Ranking with Content and Implicit Feedback, IN PROCEEDINGS OF THE 2015 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI), 2015, 2015, 第 3 作者
(91) A Convolutional Click Prediction Model, IN PROCEEDINGS OF THE 24TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (CIKM), 2015, 2015, 第 3 作者
(92) Multiple Attribute Aware Personalized Ranking, WEB TECHNOLOGIES AND APPLICATIONS (APWEB 2015), 2015, 第 2 作者
(93) Social-Relational Topic Model for Social Networks, IN PROCEEDINGS OF THE 24TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (CIKM), 2015, 2015, 第 2 作者
(94) Incomplete Multi-view Clustering via Subspace Learning, IN PROCEEDINGS OF THE 24TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (CIKM), 2015, 2015, 第 2 作者
(95) Multiple Attribute Aware Personalized Ranking, PROC. ASIA PACIFIC WEB CONFERENCE, 2015, 第 3 作者
(96) Personalized Semantic Ranking for Collaborative Recommendation, IN PROCEEDINGS OF THE 38TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR), 2015, 2015, 第 1 作者
(97) Non-intrusive Sleep Pattern Recognition with Ubiquitous Sensing in Elderly Assistive Environment, FRONTIERSOFCOMPUTERSCIENCE, 2015, 第 2 作者
(98) COT: Contextual Operating Tensor for Context-Aware Recommender Systems, PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2015, 第 2 作者
(99) Adaptive Pairwise Learning for Personalized Ranking with Content and Implicit Feedback, 2015 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY (WI-IAT), 2015, 第 2 作者
(100) Multi-view clustering via pairwise sparse subspace representation, NEUROCOMPUTING, 2015, 第 2 作者
(101) Learning to Hash for Recommendation with Tensor Data, WEB TECHNOLOGIES AND APPLICATIONS (APWEB), 2015, 第 2 作者
(102) Hierarchical feature coding for image classification, NEUROCOMPUTING, 2014, 第 4 作者
(103) Discriminative Representative Selection via Structure Sparsity, IN PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) 2014, 2014, 第 3 作者
(104) Information-Theoretic Outlier Detection for Large-Scale Categorical Data, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING(IEEE TKDE), 2011, 通讯作者


Students

已指导学生

王礼萍  硕士研究生  081203-计算机应用技术  

朱彦樵  硕士研究生  081203-计算机应用技术  

晏祺龙  硕士研究生  085208-电子与通信工程  

许伟志  硕士研究生  081203-计算机应用技术  

胡娅璇  硕士研究生  085400-电子信息  

现指导学生

马欢欢  硕士研究生  085410-人工智能  

陈丁硕  硕士研究生  081203-计算机应用技术  

龙泽文  硕士研究生  081203-计算机应用技术  

陈柳吉  硕士研究生  081203-计算机应用技术