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。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总引用超9400次,2023年度超3000次,第一作者论文单篇最高引用超1400次,22篇论文引用超100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 ) 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

( 2 ) 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

( 3 ) 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

( 4 ) 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

( 5 ) 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

( 6 ) 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

( 7 ) 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

( 8 ) 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

( 9 ) 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

( 10 ) 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

( 11 ) 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

( 12 ) 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

( 13 ) 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

( 14 ) 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

( 15 ) 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

( 16 ) 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

( 17 ) 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

( 18 ) 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

( 19 ) 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

( 20 ) 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

( 21 ) 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

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