Shu Wu

Shu Wu 吴书

Associate Professor

Multi-modal Computing Group
Center for Research on Intelligent Perception and Computing (CRIPAC)
National Laboratory of Pattern Recognition (NLPR)
Institute of Automation, Chinese Academy of Sciences (CASIA)

  • Email: shu.wu@nlpr.ia.ac.cn
  • Tel: +86-10-82544584
  • Address: Room 1509, Intelligence Building, 95 Zhongguancun East Road, Beijing, China, 100190[map]


Looking for Ph.D. and visiting students

  • We are currently looking for Ph.D. students and visiting students doing research at NLPR, CASIA. If you are a well motivated and dedicated student, and plan to do research in the areas of Data Mining and Machine Learning, please send me an email with your CV.

  • Education


    Research Interests

    Data Mining, Machine Learning, Recommendation Systems


    Publications

    Journal and Conference Papers



    • Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan. Session-based Recommendation with Graph Neural Network. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019.

    • Qiang Cui, Shu Wu, Qiang Liu, Wen Zhong, Liang Wang. MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted 2018.

    • Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan. Context-Aware Collaborative Prediction. Springer Briefs in Computer Science, Springer 2017, ISBN 978-981-10-5372-6, pp. 1-69.

    • Qiyue Yin, Shu Wu, Liang Wang. Multi-view Clustering via Unified and View Specific Embeddings Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted in 2017. [pdf]

    • Qiang Liu, Feng Yu, Shu Wu, Liang Wang. Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach. ACM Transactions on Intelligent Systems and Technology (TIST), accepted in 2017. [pdf]

    • Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. A Convolutional Approach for Misinformation Identification. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017. [pdf]

    • Qiang Liu, Shu Wu, Liang Wang. DeepStyle: Learning User Preferences for Visual Recommendation. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017. [pdf]

    • Qiang Liu, Shu Wu, Liang Wang. Multi-behavioral Sequential Prediction with Recurrent Log-bilinear Model. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 29, no. 6, pp. 1254-1267, June 1 2017. [pdf]

    • Qiyue Yin, Shu Wu, Liang Wang, Unified Subspace Learning for Incomplete and Unlabeled Multi-view Data, Pattern Recognition (PR), Volume 67, Pages 313-327, July 2017. [pdf]

    • Xiaohan Li, Shu Wu*, Liang Wang. Blood Pressure Prediction via Recurrent Models with Contextual Layer. In Proceedings of the 26th International World Wide Web Conference (WWW), Pages 685-693, 2017. [pdf] *joint first authors

    • Qiyue Yin, Yan Huang, Shu Wu, Liang Wang. Learning Shared and Specific Factors for Multi-modal Data. CCCV, 2017.

    • 吴书, 刘强, 王亮. 情境大数据建模及其在用户行为预测中的作用. 大数据,第2卷, 第6期,pp 110-117, 人民邮电出版社, 2016. [pdf]

    • Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang. Context-aware Sequential Recommendation. In Proceedings of the IEEE International Conference on Data Mining (ICDM), pp. 1053-1058, Barcelona, 2016. [pdf]

    • Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan. Personalized Ranking with Pairwise Factorization Machines. Neurocomputing, Volume 214, Pages 191-200, 2016. [pdf]

    • Shu Wu, Weiyu Guo, Song Xu, Yongzhen Huang, Liang Wang, Tieniu Tan. Coupled Topic Model for Collaborative Filtering with User-Generated Content. IEEE Transactions on Human-Machine Systems (THMS), vol. 46, no. 6, pp. 908-920, Dec. 2016. [pdf]

    • Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan. Contextual Operation for Recommender Systems. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 28, no. 8, pp. 2000-2012, Aug. 2016. [pdf]

    • Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. A Dynamic Recurrent Model for Next Basket Recommendation. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 729-732, 2016. [pdf]

    • Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan. Information Credibility Evaluation on Social Media. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI, Demo), 2016.

    • Shu Wu, Qiang Liu, Ping Bai, Liang Wang, Tieniu Tan. SAPE: A System for Situation-Aware Public Security Evaluation. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI, Demo), 2016.

    • Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI), pp. 194-200, 2016. [pdf]

    • Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan. Adaptive Pairwise Learning for Personalized Ranking with Content and Implicit Feedback. In Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT, Oral and Poster), pp. 369-376, 2015. [pdf]

    • Qiyue Yin, Shu Wu, Liang Wang. Incomplete Multi-view Clustering via Subspace Learning. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM, Oral), pp. 383-392, 2015.[pdf]

    • Qiang Liu, Shu Wu, Liang Wang. Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM, Oral), pp. 613-622, 2015.[pdf]

    • Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan. Social-Relational Topic Model for Social Networks. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), pp. 1731-1734, 2015.[pdf]

    • Qiang Liu, Feng Yu, Shu Wu, Liang Wang. A Convolutional Click Prediction Model. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), pp. 1743-1746, 2015.[pdf][code]

    • Qiyue Yin, Shu Wu, Liang Wang. Learning to Hash for Recommendation with Tensor Data. In Proceedings of the 17th Asia-Pacific Web Conference (APWeb), pp. 292-303, 2015.[bib][pdf]

    • Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan. Multiple Attribute Aware Personalized Ranking. In Proceedings of the 17th Asia-Pacific Web Conference (APWeb), pp. 244-255, 2015.[bib][pdf]

    • Hongbo Ni, Shu Wu, Bessam Abdulrazak, Daqing Zhang, Xiaojuan Ma, Zhou Xingshe. Non-intrusive Sleep Pattern Recognition with Ubiquitous Sensing in Elderly Assistive Environment. Frontiers of Computer Science, 9(6): 966-979 (2015). [pdf]

    • Qiyue Yin, Shu Wu, Liang Wang. Partially Tagged Image Clustering. In Proceedings of the International Conference on Image Processing (ICIP, Oral), pp. 4012-4016, 2015.[bib][pdf]

    • Song Xu, Shu Wu, Liang Wang. Personalized Semantic Ranking for Collaborative Recommendation. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 971-974, 2015.[bib][pdf]

    • Qiang Liu, Shu Wu, Liang Wang. COT: Contextual Operating Tensor for Context-aware Recommender Systems. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI, Oral), pp. 203-209, 2015. [bib][pdf][code][slides]

    • Qiyue Yin, Shu Wu, Ran He, Liang Wang. Multi-view Clustering via Pairwise Sparse Subspace Representation. Neurocomputing, 156, 25, pp. 12-21, 2015. [bib][pdf]

    • Jingyu Liu, Yongzhen Huang, Liang Wang, Shu Wu. Hierarchical feature coding for image classification. Neurocomputing, Volume 144, 20, Pages 509¨C515, 2014.

    • Baoxing Wang, Qiyue Yin, Shu Wu, Liang Wang, Guiquan Liu. Discriminative Representative Selection via Structure Sparsity. In Proceedings of the 22nd International Conference on Pattern Recognition (ICPR), pp. 1401-1406, 2014.[bib][pdf]

    • Shu Wu and Shengrui Wang. Information-theoretic Outlier Detection for large-scale Categorical Data. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 25, no. 3, pp. 589-602, 2013. [bib][pdf]

    • H. Ni, B. Abdulrazak, D. Zhang, Shu Wu , Z. Yu, X. Zhou, S. Wang. Towards Non-intrusive Sleep Pattern Recognition in Elder Assistive Environment. Journal of Ambient Intelligence and Humanized Computing (AIHC), Springer, Volume 3, Issue 2, pp 167¨C175, 2012.

    • H. Ni, B. Abdulrazak, Shu Wu , D. Zhang, S. Wang and Z. Wang. Multi-modal Non-intrusive Sleep Pattern Recognition in Elder Assistive Environment. Journal of Ambient Intelligence and Smart Environments (JAISE), IOS Press, 2012.

    • H. Ni, B. Abdulrazak, D. Zhang, Shu Wu . CDTOM: A Context-driven Task-oriented Middleware for Pervasive Homecare Environment. CoRR abs/1102.1152 (2011)

    • Shu Wu and Shengrui Wang. Parameter-free Outlier Detection for large-scale Categorical Data. In Proceeding of the 7th International Conference on Machine Learning and Data Mining (MLDM 2011), 2011.

    • H. Ni, B. Abdulrazak, D. Zhang, Shu Wu. CDTOM: A Context-driven Task-oriented Middleware for Pervasive Homecare Environment. International Journal of UbiComp (IJU), Vol.2, No.1, Jan. 2011.

    • Shu Wu and Shengrui Wang. Rating-based Collaborative Filtering Combined with Additional Regularization. In Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), 2011.

    • H. Ni, B. Abdulrazak, D. Zhang, Shu Wu, Z. Yu, X. Zhou, S. Wang. Towards Non-intrusive Sleep Pattern Recognition in Elder Assistive Environment. In Proceeding of the 7th International Conference Ubiquitous Intelligence and Computing (UIC 2010), 2010

    • H. Ni, B. Abdulrazak, D. Zhang and Shu Wu. Unobtrusive Sleep Posture Detection for Elder-Care in Smart Home. In Proceeding of the 8th International Conference on Smart Homes and Health Telematics (ICOST), 2010.

    • Shu Wu, Qingshan Jiang and Joshua Zhexue Huang. A New Initialization Method for Clustering Categorical Data, In Proceeding of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2007.

    • Shu Wu, Qingshan Jiang, Zhiling Hong and Shengrui Wang. A Novel Fuzzy Cluster Validity Index with New Compositions. In Proceedings of Sixth World Congress on Intelligent Control and Automation (WCICA), 2006. (In Chinese)

    • Shu Wu, Qingshan Jiang, Huailin Dong and Jingliang Lin. A New Fuzzy Cluster Algorithm for Categorical Data. In Proceedings of 23th National Database Conference of China (NDBC), 2006. (In Chinese)

    • Jingliang Lin, Huailin Dong, Qingshan Jiang and Shu Wu. An Algorithm for Mining Frequent Patterns Based on Newly-added Threshold. In Proceedings of 23th National Database Conference of China (NDBC), 2006. (In Chinese)

    Patents


    • Tieniu Tan, Liang Wang, Shu Wu, Feng Yu, Qiang Liu 基于卷积神经网络的显著信息检测方法及装置. CN106844765A, Application No.: 201710098500.7, Date of Application: 20170222.
    • Shu Wu, Liang Wang, Tieniu Tan. 基于循环神经网络构建预测模型. CN106777874A, Application No.: 201611027689.2, Date of Application: 20161118.
    • Shu Wu, Liang Wang, Tieniu Tan. 一种数据特征选择和预测方法及装置. CN106777891A, Application No.: 201611043691.9, Date of Application: 20161121.
    • Liang Wang, Shu Wu, Song Xu. 一种基于耦合主题模型的协同滤波方法. CN103903163A, Application No.: 201410069229.0, Date of Application: 20140227.
    • Liang Wang, Shu Wu, Baoxing Wang. 一种基于时序数据的推荐系统攻击检测算法. CN103678709A, Application No.: 201310746814.5, Date of Application: 20131230.
    • Liang Wang, Tieniu Tan, Shu Wu, Qiang Liu, 基于高阶用户偏好的推荐方法. CN105069140A, Application No.:201510511083.5, Date of Application: 20150819.
    • Liang Wang, Tieniu Tan, Shu Wu, Qiang Liu, 基于上下文转换向量模型的推荐方法和系统. CN104809107A, Application No.:201510253508.7, Date of Application: 20150518.
    • Liang Wang, Shu Wu, Qiyue Yin, 一种基于结构约束的半监督多视角聚类方法. CN105718950A, Application No.: 201610041391.0, Date of Application: 20160122.
    • Liang Wang, Shu Wu, Qiyue Yin, 一种基于矩阵分解的部分标注图像聚类方法及装置. CN105740881A, Application No.: 201610041234.X, Date of Application: 20160122.
    • Liang Wang, Shu Wu, Qiyue Yin, 一种基于子空间学习的不完整跨模态检索方法. CN106844518A, Application No.: 201611243419.5, Date of Application: 20161229.
    • Tieniu Tan, Liang Wang, Shu Wu, Weiyu Guo, 一种基于用户偏好的自适应采样方法. CN105740327A, Application No.: 201610041393.X, Date of Application: 20160122.
    • Tieniu Tan, Liang Wang, Shu Wu, Weiyu Guo, 一种基于社会关系主题模型的社交网络朋友推荐方法. CN105740342A, Application No.: 201610047668.0, Date of Application: 20160107.
    • Tieniu Tan, Liang Wang, Shu Wu, Qiang Liu, Feng Yu, 一种基于动态周期神经网络的商品推荐方法. CN105844508A, Application No.: 201610166084.5, Date of Application: 20160322.
    • Tieniu Tan, Liang Wang, Shu Wu, Feng Yu, Qiang Liu, 一种基于卷积神经网络的点击通过率预估方法. CN105869016A, Application No.: 201610186350.0, Date of Application: 20160328.
    • Liang Wang, Shu Wu, Cui Qiang, Qiang Liu, 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. CN106600347A, Application No.: 201710041240.X, Date of Application: 20170117.
    • Tieniu Tan, Liang Wang, Shu Wu, Qiang Liu, Feng Yu, 基于动态表达学习的不实信息检测方法和装置方法. CN106910013A, Application No.: 201710085225.5, Date of Application: 20170216.
    • Liang Wang, Shu Wu, Ping Bai, 分布式可视化系统及方法. CN107864074A, Application No.: 201711416354.4, Date of Application: 20171222.
    • Shu Wu, 基于多元分层循环神经网络的时序点击预测模型.

    Talks and Tutorials

    • College of Mathematics and Computer Science, Fujian Normal University - September 23, 2015 - Fuzhou, Fujian, China.

    • Beijing-Melbourne Workshop on Multilingual NLP and Social Media Analytics ¡ª November 23¨C24, 2015 ¡ª Beijing, China.

    Honors Awarded

    • MSRA StarTrack 微软“铸星计划”
    • 2017
    • Alibaba Research Fellow
    • 2017
    • FCS Young AE Project
    • 2016
    • Student Travel Award, SIGIR, Beijing.
    • 2011
    • Selected Best Paper, UIC
    • 2010
    • Student Travel Award, PAKDD, Nanjing
    • 2007
    • Scholarship, China Scholarship Council
    • 2007-2010
    • Research Assistantship, Universit¨¦ de Sherbrooke
    • 2007-2011
    • First Class Scholarship, Hunan University
    • 2000-2003

    Research Fundings

    • Principal Investigator; Research on User Behavior Modeling Methods based on Fusion of Entity Feature and Sequential Information; 2018.01 - 2021.12; National Science Foundation of China (NSFC); 630,000 RMB.

    • Principal Investigator; Social Recommendation with Contextual Information of Entity and Interaction; 2015.01 - 2017.12; National Science Foundation of China (NSFC); 250,000 RMB.

    • Co-Principal Investigator; Sub-Project; 2015.01 - 2018.12; Joint Funds of the National Natural Science Foundation of China (NSFC); 1,250,000 RMB.

    • Principal Investigator; 2018.01 - 2020.12; Beijing Natural Science Foundation (BJNSF); 200,000 RMB.

    • Principal Investigator; CASIA-JD Finance, Intelligence Financial Risk Joint Laboratory 中科院自动化所-京东金融智能金融风险联合实验室; 2018.01 - 2020.12; JD Finance 京东金融; 5,400,000 RMB.

    • Principal Investigator; 手游玩家兴趣画像及生命周期研究; 2017.05 - 2017.10; 腾讯; 500,000 RMB.

    • Principal Investigator; 基于深度自编码网络和稀疏表达的异常行为检测框架; 2016.09 - 2017.10; CCF-启明星辰鸿雁科研计划; 70,000 RMB.

    • Principal Investigator; 基于深度循环神经网络模型的点击通过率预测; 2016.08 - 2017.10; CCF-腾讯犀牛鸟基金; 120,000 RMB.

    • Principal Investigator; Collaborative Prediction of High Blood Pressure with Contextual Information; 2016.01 - 2016.06; iHealth and Andon; 450,000 RMB.

    • Principal Investigator; Public Opinion Monitoring System based on Multi-modal Data; 2015.01 - 2017.12; MSR-CNIC Windows Azure Project; 50,000 RMB.

    • Project member; Platform for Cyber-Physical Space Sensory Data Processing and Verification System; 2012.01 - 2016.12; Cyber-Physical Space Sensory Data Processing for Public Security; 973 Program.

    • Project member; Research on Large-Scale Visual Computing Theories and Methods; 2015.01 - 2019.12; NSF international cooperation and exchange Program.

    Academic Services and Activities

    • Technical Program Committee (TPC) member, The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD), 2018.

    • Senior Member, China Computer Federation (CCF), 2017-.

    • Associate Editor, Frontiers of Computer Science, 2016-.

    • Reviewer, The National Natural Science Foundation of China (NSFC), 2015.

    • Co-Chair, Multimedia and Social Networking, The 28th IEEE International Conference on Advanced Information Networking and Applications (AINA-2014)

    • Reviewer, The 21st International Conference on Neural Information Processing (ICONIP 2014)

    • Reviewer, The 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2013)

    • Reviewer, IEEE Transactions on Knowledge and Data Engineering (TKDE)

    • Reviewer, IEEE Transactions on Human-Machine Systems (THMS)

    • Reviewer, IEEE Journal of Biomedical and Health Informatics (TITB)

    • Reviewer, IEEE Intelligent Systems

    • Reviewer, Pattern Recognition Letters

    • Reviewer, Soft Computing

    • Reviewer, Neurocomputing

    • Reviewer, The Scientific World Journal

    • Reviewer, ACTA AUTOMATICA SINICA