• Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao. Independence Promoted Graph Disentangled Networks. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.

  • Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang. Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019.

  • Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu. Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019.

  • Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan. Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019. [code]

  • Qiang Cui, Shu Wu, Yan Huang, Liang Wang. A Hierarchical Contextual Attention-based Network for Sequential Recommendation. Neurocomputing, accepted 2019.

  • Qiyue Yin, Junge Zhang, Shu Wu, Hexi Li. Multi-view Clustering via Joint Feature Selection and Partially Constrained Cluster Label Learning. Pattern Recognition (PR), accepted 2019.

  • Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang. Semi-supervised Compatibility Learning across Categories for Clothing Matching. In proceedings of the IEEE International Conference on Multimedia & Expo (ICME), 2019. [pdf] [code]

  • Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. Attention-based Convolutional Approach for Misinformation Identification from Massive and Noisy Microblog Posts. Computers & Security, accepted 2019. [pdf]

  • Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Liang Wang. Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. In Proceedings of the 28th International World Wide Web Conference (WWW), 2019. [pdf] [code]

  • 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.[pdf] [code][NSFC-基金成果快讯][CAS-科研进展]

  • Qiang Cui, Yuyuan Tang, Shu Wu, Liang Wang. Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction. The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019. [pdf] [code]

  • 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. [pdf] [code]

  • 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] [code]

  • 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)