• Data Mining
  • Recommender Systems
  • Data Mining and User Modeling in Social Multimeida Platforms

I am looking for self-motivated undergraduate students, master and Ph.D students. Feel free to contact me!

  • 2021.04 We release an arXiv version of a survey paper on neural recommendation.
  • 2021.04 Three long papers have been accepted by SIGIR 2021, with the topic of self-supervised learning on recommendation, graph enhanced CF, and               graph-based distillation for recommendation.
  • 2021.02 I will serve as a publication chair of CICAI 2021, which will be held at Hangzhou, China.
  • 2021.01 One paper on fairness modeling for graph based recommendation has been accepted by the Web Conference 2021.
  • 2020.12 One paper has been accepted by AAAI 2021.
  • 2020.12 One paper on neural graph based social recommendation has been accepted by TKDE.
  • 2020.11 Congratulations for Peijie Sun and Yonghui Yang for wining the national scholarship!

[WWW 2021] Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang. Learning Fair Representations for Recommendation: A Graph based Perspective. [PDF][Code]
In this paper, we propose a novel graph based technique for ensuring fairness of any recommendation models. Here, the fairness requirements refer to not exposing sensitive feature set in the user modeling process. Extensive experimental results clearly show the effectiveness of our proposed model for fair recommendation. Welcome to try our code!

[IEEE TKDE] Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang. DiffNet++: A Neural Influence and Interest Diffusion Model for Social Recommendation. [PDF][Code]
In this paper, we propose DiffNet++ to improve the previous work DIffNet. Specifically, DiffNet++ models the influence and interest diffusion in the fused heterogeneous network at the same time. Besides, we adopt the attention strategy to distinguish the influences from different graphs and to model the differences of neighbors in the aggregation operation. Finally, extensive experimental results on four real-world datasets clearly show the effectiveness of our proposed model. Welcome to try our code!

Conference Papers

  • Yonghui Yang, Le Wu*, Richang Hong, Kun Zhang, Meng Wang. Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. The 44rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), accepted, July 11-15, online.  [PDF]

  • Lei Chen, Le Wu*, Kun Zhang, Richang Hong, Meng Wang. Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. The 44rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), accepted, July 11-15, online.  [PDF]

  • Shuai Wang, Kun Zhang*, Le Wu, Haiping Ma, Richang Hong, Meng Wang. Privileged Graph Distillation for Cold Start Recommendation The 44rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), accepted, July 11-15, online.  [PDF]

  • Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang. Learning Fair Representations for Recommendation: A Graph based Perspective. The Web Conference (WWW 2021), accepted, April 19-23, China.  [PDF] [Code]

  • Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan. Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. The 34th AAAI Conference on Artificial Intelligence (AAAI 2021), accepted, February 2-9, Virtual Conference.  [PDF]

  • Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang. Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), 679-688, July 25-30, Xi’an, China.  [PDF] [Code]

  • Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang. Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), 1211-1220, Xi’an, China.  [PDF]

  • Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang. Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. The Web Conference (WWW 2020), 837-847, April 20-24, Taipei, China.  [PDF] [Code]

  • Lei Chen, Le Wu*, Richang Hong, Kun Zhang, Meng Wang. Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 27-34, February 7-12, New York, USA.  [PDF] [Code]

  • Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang. A Neural Influence Diffusion Model for Social Recommendation. The 42th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), 235-244, July 21-25, Pairs, France. [PDF] [Code]

  • Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang. Personalized Multimedia Item and Key Frame Recommendation. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 1431-1437, August 10-16, Macao, China.  [PDF]

  • Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W Zheng, Qi Liu. Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 4681-4688, August 10-16, Macao, China.  [PDF]

  • Peijie Sun, Le Wu*, Meng Wang. Attentive Recurrent Social Recommendation. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 185-194, July 8-12, Ann Anbor, MI, USA.  [PDF]

  • Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang. Incremental Matrix Factorization: A Linear Feature Transformation Perspective. The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 1901-1908, Melbourne, Australia, August 19-25, 2017.  [PDF]

  • Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang. Modeling Users Preferences and Social Links in Social Networking Services: a Joint-Evolving Perspective, The 30th AAAI Conference on Artificial Intelligence (AAAI 2016), 279-286, Phoenix, Arizona USA, February 12-17, 2016.  [PDF]

  • Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tang. Product Adoption Prediction: A Multi-factor View, The 15th SIAM International Conference on Data Mining (获最佳论文提名,Best of SDM 2015) , 154-162, Vancouver, BC, Canada, April 30-May 2, 2015.  [PDF]

  • Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui. Predicting Smartphone Adoption Social Networks. The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015), 472-485, Ho Chi Minh City, Vietnam, May 19-22, 2015.  [PDF]

  • Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang. Leveraging Tagging for Neighborhood-aware Probabilistic Matrix Factorization, The 21st ACM Conference on Information and Knowledge Management (CIKM 2012), 1854-1858, Maui, HI, USA, October 29-November 02, 2012.  [PDF]

Journal Papers

  • Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang. DiffNet++: A Neural Influence and Interest Diffusion Model for Social Recommendation. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), accepted, 2020.  [PDF] [Code]

  • Junwei Li, Le Wu*, Richang Hong, Kun Zhang, Yong Ge, Yan Li. A Joint Neural Model for User Behavior Prediction on Social Networking Platforms. ACM Transactions on Intelligent Systems and Technology (ACM TIST), accepted, 2020.  [PDF]

  • Richang Hong, Yuan He, Le Wu*, Yong Ge, Xindong Wu. Deep Attributed Network Embedding by Preserving Structure and Attribute Information. IEEE Transactions on Systems Man and Cybernetics: Systems (IEEE TSMC: Systems), 51(3):1434-1445, March 2021.  [PDF]

  • Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang. Collaborative Neural Social Recommendation. IEEE Transactions on Systems Man and Cybernetics: Systems (IEEE TSMC: Systems), 51(1):464-476, January 2021.  [PDF]

  • Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang. A Hierarchical Attention Model for Social Contextual Image Recommendation. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 32(10):1854-1867, October 2020.  [PDF] [Code]

  • Lei Chen, Le Wu, Zhenzhen Hu, Meng Wang. Quality-aware Unpaired Image-to-image Translation. IEEE Transactions on Multimedia (IEEE TMM), 21(10):2664-2674, October 2019.  [PDF]

  • Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Meng Wang. Product Adoption Rate Prediction in a Competitive Market. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 30(2):325-338, February 2018.  [PDF]

  • Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang. Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 29(6): 1240-1253, June 2017.  [PDF]

  • Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie. Relevance meets Coverage: A Unified Framework to Generate Diversified Recommendation. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 7(3): 39:1-39:30, February 2016.  [PDF]

  • 孙光福,吴乐,刘淇,朱琛,陈恩红. 基于时序行为的协同过滤推荐算法. 软件学报,vol. 24(11), pages: 2721-2733, 2013.  [PDF]
  • Member of Special Interest Group on Information Retrieval, Chinese Information Processing Society of China
  • Member of Special Interest Group on Artificial Intelligence and Pattern Recognition, China Computer Federation
  • Member of IEEE, ACM
  • Conference Reviewers:
  • Senior PC: AAAI 2021, IJCAI 2021
  • PC: AAAI, IJCAI, WWW, NeuralPS, KDD, CIKM, MM, ICDM, et al.
    • Journal Reviewers:
  • TKDE, TNNLS, TOIS, TSMC: Systems, TMC, TIST et al.
  • SCIENTIA SINICA Informationis, Frontiers of Computer Sience, 计算机学报, 软件学报
    • 2021.01 Youth Talent Promotion Project, China Association for Science and Technology
    • 2020.05 Youth Talent Promotion Project, Anhui Association for Science and Technology
    • 2017.07 Outstanding Dissertation Award, Chinese Association for Artificial Intelligence
    • 2017.05 Star-Track Visiting Program, Microsoft Research
    • 2015.03 Best of SDM paper Award, SIAM SDM 2015
    • 2013.08 Outstanding Student Paper Award, The 17th China Conference on Machine Learning