基本信息

吴书  男  硕导  中国科学院自动化研究所
电子邮件: shu.wu@nlpr.ia.ac.cn
通信地址: 北京市海淀区中关村东路95号智能化大厦
邮政编码:100190

研究领域

网络内容分析与安全
大数据分析


Code Repositories:https://github.com/CRIPAC-DIG

Google Scholar:https://scholar.google.com/citations?user=qVge6YYAAAAJ&hl=en

Graph Contrastive Learning Library for PyTorch (PyGCL) : https://github.com/GraphCL/PyGCL


以第一作者或通讯作者发表ACM和IEEE Trans. 17篇、CCF-A长文30余篇、第一作者Springer和科学出版社专著两部,授权专利14项。担任ACM Transactions on Recommender Systems (TORS)编委和CAAI Artificial Intelligence Research (CAAI AIR)、Frontiers of Computer Science (FCS)青年编委。7篇文章入选PaperDigest发布的最有影响力论文AAAI(×2), SIGIR(×2), WWW(×1), CIKM(×2)。获得AI 2000人工智能和信息检索两个领域最具影响力学者、斯坦福大学2022年全球前2%顶尖科学家榜单(Elsevier),UIC 2011和CICAI 2022最佳论文奖等。研究被国内外学者广泛引用并正面评价,Google Scholar总引用一万余次,第一作者论文单篇最高引用超1500次,项目的开源代码获得超3000赞。构建的验证和推理系统在多个单位落地和常态化应用,获得局级单位的好评和感谢信,多家单位的应用证明,作为参与人获得**科技进步二等奖。也服务于产业界,主持科技创新2030-新一代人工智能重大项目、面上(2项)和青年基金,以及京东科技联合实验室和腾讯、阿里等合作项目,将算法成果落地到车险预估、应用宝、搭配宝等在线系统中,较大的提升了线上效果,获评首届阿里学者。

招生信息

希望能与有科研理想的优秀同学一起合作,以前瞻的有价值的项目为载体,以一流的科研或应用成果为目标。

特别欢迎动手能力强、好奇心强、踏实勤奋的同学。

另中心招聘博士后和访问学生,欢迎联系。

招生专业
081203-计算机应用技术
招生方向
网络内容分析与安全
数据挖掘

教育背景

2007-09--2012-07   加拿大舍布鲁克大学   计算机科学,博士
2004-09--2007-07   厦门大学   计算机应用专业,硕士
2000-09--2004-07   湖南大学   计算机科学与技术,学士

工作经历

   
工作简历
2016-11~现在, 模式识别国家重点实验室/多模态人工智能系统全国重点实验室, 副研究员
2012-09~2016-10,模式识别国家重点实验室, 助理研究员
社会兼职
2023-12-01-今,CCF杰出会员,
2022-02-01-今,中国电子学会网络空间安全专委会,
2022-01-01-今,ACM高级会员,
2021-10-01-今,IEEE高级会员,
2017-08-01-今,中国人工智能学会模式识别专委会委员,

学术成果与奖励

   
专利成果
( 1 ) 关系抽取模型的训练方法、装置、电子设备和存储介质, 发明专利, 2023, 第 3 作者, 专利号: 2023116510111

( 2 ) 文本引导分子生成方法、装置及存储介质, 发明专利, 2024, 第 2 作者, 专利号: 2024101786848

( 3 ) 用于混合表格文本证据的事实验证方法、装置及存储介质, 发明专利, 2024, 第 2 作者, 专利号: 2024101785489

( 4 ) 基于对抗式掩码的图表征向量生成方法、装置及存储介质, 发明专利, 2024, 第 2 作者, 专利号: 2024101654355

( 5 ) 谣言检测模型训练方法、谣言检测方法及装置, 发明专利, 2024, 第 3 作者, 专利号: 2024103518020

( 6 ) 动态知识图谱预测方法、装置、电子设备及存储介质, 发明专利, 2023, 第 1 作者, 专利号: CN116796001A

( 7 ) 基于时序元学习的动态知识图谱预测方法和装置, 发明专利, 2023, 第 1 作者, 专利号: CN116108195A

( 8 ) 用户属性推断模型的训练方法、推断方法和电子设备, 发明专利, 2023, 第 1 作者, 专利号: CN115796282A

( 9 ) 交易平台中节点属性信息检测模型的训练方法和训练装置, 发明专利, 2023, 第 1 作者, 专利号: CN115965071A

( 10 ) 基于动态知识图谱的事件预测方法及装置, 发明专利, 2022, 第 2 作者, 专利号: CN115062779A

( 11 ) 一种诊断数据分析方法及系统, 发明专利, 2022, 第 1 作者, 专利号: CN115050465A

( 12 ) 基于协同过滤推荐模型的物品推荐方法及装置, 发明专利, 2022, 第 1 作者, 专利号: CN114943039A

( 13 ) 一种基于分解机和图神经网络的点击率预测方法及系统, 发明专利, 2021, 第 1 作者, 专利号: CN112446739A

( 14 ) 一种基于动态图卷积神经网络的社交关系预测方法及系统, 发明专利, 2021, 第 1 作者, 专利号: CN112633559A

( 15 ) 基于深度神经网络与图网络的核心用户挖掘方法及系统, 专利授权, 2019, 第 1 作者, 专利号: CN109597844A

( 16 ) 对象推荐方法、装置、存储介质及计算机设备, 发明专利, 2019, 第 1 作者, 专利号: CN110209922A

( 17 ) 基于卷积神经网络的显著信息检测方法及装置, 专利授权, 2017, 第 3 作者, 专利号: CN106844765A

( 18 ) 一种基于多视角数据和循环网络构建序列预测模型的方法, 专利授权, 2017, 第 2 作者, 专利号: CN106600347A

( 19 ) 一种基于子空间学习的不完整跨模态检索方法, 专利授权, 2017, 第 2 作者, 专利号: CN106844518A

( 20 ) 一种数据特征选择和预测方法及装置, 专利授权, 2017, 第 1 作者, 专利号: CN106777891A

( 21 ) 基于循环神经网络构建预测模型的方法, 发明专利, 2017, 第 1 作者, 专利号: CN106777874A

( 22 ) 一种基于动态周期神经网络的商品推荐方法, 专利授权, 2016, 第 3 作者, 专利号: CN105844508A

( 23 ) 一种基于矩阵分解的部分标注图像聚类方法及装置, 专利授权, 2016, 第 2 作者, 专利号: CN105740881A

( 24 ) 一种基于结构约束的半监督多视角聚类方法, 发明专利, 2016, 第 2 作者, 专利号: CN105718950A

( 25 ) 一种基于用户偏好的自适应采样方法, 专利授权, 2016, 第 3 作者, 专利号: CN105740327A

( 26 ) 基于高阶用户偏好的推荐方法, 发明专利, 2015, 第 3 作者, 专利号: CN105069140A

( 27 ) 一种基于耦合主题模型的协同滤波方法, 发明专利, 2014, 第 2 作者, 专利号: CN103903163A

荣誉和奖励

(1)   IKCEST大数据竞赛国际二等奖,2023

(2)    中国图象图形学会高关注度领域综述,2023

(3)    *科学技术进步奖二等奖,2022

(4)    CICAI-2022最佳论文奖,2022

(5)    AI 2000人工智能最具影响力学者,2022

(6)     MSRA StarTrack 微软铸星计划学者,2018

(7)     Alibaba Research Fellow2017

(8)     Selected Best PaperUIC 2010Xi'an2010

(9)     Scholarship奖学金,中国留学基金委(China Scholarship Council),2007-2010

(10)   免高奖,加拿大魁北克省-中国留学基金委,2007-2010

(11)   舍布鲁克大学Fellowship奖学金,2007-2011

出版信息

   
发表论文
(1) Stealthy Attack on Large Language Model based Recommendation, Annual Meeting of the Association for Computational Linguistics (ACL), 2024, 第 4 作者
(2) DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generaliztion, ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD), 2024, 第 4 作者
(3) Text-Guided Molecule Generation with Diffusion Language Model, AAAI Conference on Artificial Intelligence (AAAI), 2024, 第 3 作者  通讯作者
(4) Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models, Annual Meeting of the Association for Computational Linguistics (ACL findings), 2024, 第 5 作者
(5) CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction, SIAM International Conference on Data Mining, 2024, 第 3 作者
(6) Knowledge Graph Enhanced Large Language Model Editing, Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2024, 第 5 作者
(7) Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables, AAAI Conference on Artificial Intelligence (AAAI), 2024, 第 3 作者  通讯作者
(8) MetaTKG++: Learning Evolving Factor Enhanced Meta-knowledge for Temporal Knowledge Graph Reasoning, PATTERN RECOGNITION (PR), 2024, 第 5 作者
(9) EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification, Annual Meeting of the Association for Computational Linguistics (ACL findings), 2024, 第 7 作者
(10) Rethinking Graph Masked Autoencoders through Alignment and Uniformity, AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI), 2024, 第 4 作者  通讯作者
(11) GraphFM: Graph Factorization Machines for Feature Interaction Modeling, Machine Intelligence Research, 2024, 第 1 作者
(12) Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning, Annual Meeting of the Association for Computational Linguistics (ACL findings), 2024, 第 5 作者
(13) Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, 第 3 作者
(14) Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization, IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 2024, 第 4 作者  通讯作者
(15) Molecular Contrastive Pretraining with Collaborative Featurizations, Journal of Chemical Information and Modeling (JCIM), 2024, 第 6 作者
(16) Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection, Proceedings of the ACM Web Conference (WWW), 2024, 第 4 作者
(17) Explainable enterprise credit rating using deep feature crossing, Expert Systems With Applications, 2023, 第 3 作者
(18) Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks, TKDE, 2023, 第 4 作者
(19) 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, 第 3 作者  通讯作者
(20) Learning Latent Relations for Temporal Knowledge Graph Reasoning, Annual Meeting of the Association for Computational Linguistics (ACL), 2023, 第 4 作者
(21) Counterfactual Debiasing for Fact Verification, Annual Meeting of the Association for Computational Linguistics (ACL), 2023, 第 3 作者
(22) Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 第 5 作者
(23) GSLB: The Graph Structure Learning Benchmark, Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track. 2023., 2023, 第 10 作者
(24) Improving Multi-Task GNNs for Molecular Property Prediction via Missing Label Imputation, Machine Intelligence Research (MIR), 2023, 第 4 作者  通讯作者
(25) A Robust Multi-site Brain Network Analysis Framework based on Federated Learning for Brain Disease Diagnosis, Neurocomputing, 2023, 第 3 作者
(26) AI in Human-computer Gaming: Techniques, Challenges and Opportunities, Machine Intelligence Research(MIR), 2023, 第 8 作者
(27) Unsupervised Graph Representation Learning with Cluster-Aware Self-Training and Refining, ACM Transactions on Intelligent Systems and Technology (TIST), 2023, 第 5 作者
(28) Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation, ACM Special Interest Group on Information Retrieval(SIGIR), 2023, 第 3 作者
(29) Personalized Interest Sustainability Modeling for Sequential POI Recommendation, ACM International Conference on Information and Knowledge Management(CIKM), 2023, 第 4 作者
(30) Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning, The 32th International World Wide Web Conference (WWW), 2023, 第 4 作者
(31) Uncovering Neural Scaling Law in Molecular Representation Learning, Conference on Neural Information Processing Systems (NeurIPS), 2023, 第 7 作者
(32) Evidence-aware Fake News Detection with Graph Neural Networks, Proceedings of the ACM Web Conference (WWW), 2022, 第 4 作者  通讯作者
(33) Dynamic Graph Neural Networks for Sequential Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 第 2 作者  通讯作者
(34) Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 第 5 作者
(35) Second-order Global Attention Networks for Graph Classification and Regression, CAAI International Conference on Artificial Intelligence (CAAI-CICAI), 2022, 第 3 作者
(36) 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
(37) DyGCN: Dynamic Graph Embedding with Graph Convolutional Network, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, 第 3 作者  通讯作者
(38) Graph Classification by Mixture of Diverse Experts, PROCEEDINGS OF THE 31ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI), 2022, 第 3 作者  通讯作者
(39) MetaTKG: learning evolutionary meta-knowledge for temporal knowledge graph reasoning, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022, 第 4 作者  通讯作者
(40) A Survey on Deep Graph Generation: Methods and Application, Learning on Graphs Conference (LOG), 2022, 第 7 作者
(41) Personalized graph neural networks with attention mechanism for session-aware recommendation, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 第 2 作者
(42) Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention, ACM Special Interest Group on Information Retrieval(SIGIR), 2022, 第 4 作者
(43) Deep Contrastive Multiview Network Embedding, ACM International Conference on Information and Knowledge Management(CIKM), 2022, 第 4 作者
(44) 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
(45) Mining Latent Structures for Multimedia Recommendation, THE 30TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA(MM), 2021, 第 4 作者
(46) Deep Active Learning for Text Classification with Diverse Interpretations, Conference on Information and Knowledge Management(CIKM), 2021, 第 5 作者  通讯作者
(47) Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval, PROCEEDINGS OF THE ACM WEB CONFERENCE(WWW), 2021, 第 4 作者  通讯作者
(48) Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction, PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT(CIKM), 2021, 第 5 作者  通讯作者
(49) GraphAIR: Graph representation learning with neighborhood aggregation and interaction, PATTERN RECOGNITION (PR), 2021, 第 3 作者  通讯作者
(50) Label-informed Graph Structure Learning for Node Classification, PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MAN-AGEMENT(CIKM), 2021, 第 3 作者  通讯作者
(51) A Graph-based Relevance Matching Model for Ad-hoc Retrieval, THE THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI), 2021, 第 4 作者  通讯作者
(52) An Empirical Study of Graph Contrastive Learning, (CONFERENCE AND WORKSHOP ON NEURAL INFORMATION PROCESSING SYSTEMS(NEURIPS), 2021, 第 4 作者  通讯作者
(53) Fully Hyperbolic Graph Convolution Network for Recommendation, PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MAN-AGEMENT(CIKM), 2021, 第 3 作者  通讯作者
(54) Graph Contrastive Learning with Adaptive Augmentation, PROCEEDINGS OF THE ACM WEB CONFERENCE(WWW), 2021, 第 5 作者  通讯作者
(55) Relation-aware Heterogeneous Graph for User Profiling, PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT(CIKM), 2021, 第 4 作者  通讯作者
(56) Disentangled Item Representation for Recommender Systems, ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (TIST), 2021, 第 3 作者
(57) 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
(58) TFNet: Multi-Semantic Feature Interaction for CTR Prediction, ACM SPECIAL INTEREST GROUP ON INFORMATION RETRIEVAL(SIGIR), 2020, 第 1 作者
(59) Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions, The 29th ACM International Conference on Information & Knowledge Management(CIKM), 2020, 第 5 作者  通讯作者
(60) 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
(61) Cold-start Sequential Recommendation via Meta Learner, AAAI TECHNICAL TRACK ON DATA MINING AND KNOWLEDGE MANAGEMENT(AAAI), 2020, 第 4 作者  通讯作者
(62) Independence Promoted Graph Disentangled Networks, AAAI Technical Track: Machine Learning(AAAI), 2020, 第 3 作者
(63) MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 第 2 作者  通讯作者
(64) Dynamic Graph Collaborative Filtering, 2020 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2020, 第 3 作者  通讯作者
(65) Deep Graph Contrastive Representation Learning, GRL+@ICML, 2020, 第 5 作者
(66) TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation, ACM SPECIAL INTEREST GROUP ON INFORMATION RETRIEVAL(SIGIR), 2020, 第 4 作者  通讯作者
(67) 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
(68) Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction, ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING(PAKDD), 2019, 第 3 作者  通讯作者
(69) Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor, THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT(CIKM), 2019, 第 4 作者  通讯作者
(70) Multi-view clustering via joint feature selection and partially constrained cluster label learning, PATTERN RECOGNITION, 2019, 第 3 作者
(71) Session-Based Recommendation with Graph Neural Networks, AAAI Technical Track: AI and the Web(AAAI), 2019, 第 1 作者  通讯作者
(72) Semi-supervised Compatibility Learning across Categories for Clothing Matching, 2019 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2019, 第 3 作者  通讯作者
(73) Semi-supervised Node Classification via Hierarchical Graph Convolutional Networks, INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-19), 2019, 第 3 作者
(74) Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction, 2019, 第 4 作者
(75) Dressing as a whole: outfit compatibility learning based on node-wise graph neural networks, THE WEB CONFERENCE (WWW), 2019, 第 3 作者  通讯作者
(76) A hierarchical contextual attention-based network for sequential recommendation, NEUROCOMPUTING, 2019, 第 2 作者  通讯作者
(77) Attention-based convolutional approach for misinformation identification from massive and noisy microblog posts, COMPUTERS & SECURITY, 2019, 第 3 作者
(78) Multiview Clustering via Unified and View-Specific Embeddings Learning, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS(IEEE), 2018, 第 2 作者
(79) Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach, ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY(TIST), 2018, 第 3 作者  通讯作者
(80) Unified subspace learning for incomplete and unlabeled multi-view data, PATTERN RECOGNITION (PR), 2017, 第 2 作者
(81) Learning Shared and Specific Factors for Multi-modal Data, COMPUTER VISION, PT II, 2017, 第 3 作者
(82) Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2017, 第 2 作者
(83) DeepStyle: Learning User Preferences for Visual Recommendation, ACM SPECIAL INTEREST GROUP ON INFORMATION RETRIEVAL(SIGIR), 2017, 第 2 作者
(84) 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
(85) A Convolutional Approach for Misinformation Identification, the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17), 2017, 第 3 作者
(86) Information Credibility Evaluation on Social Media, IN PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, 第 1 作者
(87) SAPE: A System for Situation-Aware Public Security Evaluation, THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, 第 11 作者
(88) Context-aware Sequential Recommendation, IN PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2016, 第 2 作者
(89) 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
(90) Coupled Topic Model for Collaborative Filtering With User-Generated Content, IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2016, 第 1 作者  通讯作者
(91) Contextual Operation for Recommender Systems, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING(TKDE), 2016, 第 1 作者  通讯作者
(92) Personalized ranking with pairwise Factorization Machines, NEUROCOMPUTING, 2016, 第 2 作者  通讯作者
(93) SAPE: A System for Situation-Aware Public Security Evaluation, IN PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, 第 1 作者
(94) 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
(95) 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
(96) PARTIALLY TAGGED IMAGE CLUSTERING, 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2015, 第 2 作者
(97) 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
(98) 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
(99) 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
(100) Multiple Attribute Aware Personalized Ranking, WEB TECHNOLOGIES AND APPLICATIONS (APWEB 2015), 2015, 第 2 作者
(101) 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
(102) 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
(103) Multiple Attribute Aware Personalized Ranking, PROC. ASIA PACIFIC WEB CONFERENCE, 2015, 第 3 作者
(104) 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
(105) Non-intrusive Sleep Pattern Recognition with Ubiquitous Sensing in Elderly Assistive Environment, FRONTIERSOFCOMPUTERSCIENCE, 2015, 第 2 作者
(106) COT: Contextual Operating Tensor for Context-Aware Recommender Systems, PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2015, 第 2 作者
(107) 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
(108) Multi-view clustering via pairwise sparse subspace representation, NEUROCOMPUTING, 2015, 第 2 作者
(109) Learning to Hash for Recommendation with Tensor Data, WEB TECHNOLOGIES AND APPLICATIONS (APWEB), 2015, 第 2 作者
(110) Hierarchical feature coding for image classification, NEUROCOMPUTING, 2014, 第 4 作者
(111) Discriminative Representative Selection via Structure Sparsity, IN PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) 2014, 2014, 第 3 作者
(112) Information-Theoretic Outlier Detection for Large-Scale Categorical Data, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING(IEEE TKDE), 2011, 第 1 作者  通讯作者
发表著作
(1) Context-Aware Collaborative Prediction, Springer Briefs in Computer Science, Springer 2017, 2018-03, 第 1 作者
(2) 面向分类用户个性化需求的科技大数据精准服务技术, 科学出版社, 2022-06, 第 1 作者

科研活动

   
科研项目
( 1 ) 融合实体特征和序列信息的用户行为建模方法研究, 负责人, 国家任务, 2018-01--2022-06
( 2 ) 融合实体和交互上下文信息的社会化推荐方法研究, 负责人, 国家任务, 2015-01--2018-06
( 3 ) 基于特征融合和序列分析的用户行为建模方法研究, 负责人, 地方任务, 2018-01--2021-06
( 4 ) 中科院自动化所-京东金融智能金融风险联合实验室, 负责人, 境内委托项目, 2018-03--2021-08
( 5 ) 手游玩家兴趣画像及生命周期研究, 负责人, 境内委托项目, 2017-10--2020-12
( 6 ) CCF-启明星辰“鸿雁”科研, 负责人, 地方任务, 2016-09--2019-04
( 7 ) 九安医疗Collaborative Prediction of High Blood Pressure with Contextual Information, 负责人, 境内委托项目, 2016-01--2016-06
( 8 ) 基于深度循环神经网络模型的点击通过率预测, 负责人, 境内委托项目, 2016-08--2019-04
( 9 ) 社交网络虚假媒体内容检测识别的理论与方法, 负责人, 国家任务, 2020-01--2023-12
( 10 ) 面向分类用户个性化需求的科技大数据精准服务技术, 负责人, 国家任务, 2019-07--2022-06
( 11 ) 基于证据推理和传播建模的虚假新闻检测方法研究, 负责人, 国家任务, 2024-01--2027-12
( 12 ) 合成与逆合成问题的人工智能求解, 负责人, 国家任务, 2024-01--2026-12

指导学生

张孟奇 博士 山东大学

呼奋宇 博士 华为

徐伟志 硕士 字节

朱彦樵 硕士 UCLA博士

李泽坤 硕士 UCSB博士生

崔泽宇 博士 阿里巴巴达摩院

余峰 博士 阿里巴巴

崔强 博士 美团

刘强 博士 2016年微软学者奖学金(共10名博士生) 瑞莱智慧联合创始人&研发总监

尹奇跃 博士 中国科学院自动化所 副研究员 硕士生导师

郭韦昱 博士 中央财经大学信息学院 副教授

徐松 硕士 京东


本科实习生

李志勋 CUHK博士生

徐逸辰 EPFL博士生

郑雨嘉 CMU博士生

李霄寒 UIC博士生

张昊立 NUS硕士

王越乔 CMU硕士

钟闻 USC硕士