Publications

• Journal papers
  • Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu. “G^3SR: Global Graph Guided Session-Based Recommendation.” IEEE Transactions on Neural Networks and Learning Systems (2022). [Paper] [Code]
  • Chang-Dong Wang, Zhi-Hong Deng, Jian-Huang Lai, Philip S. Yu. “Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering.” IEEE Transactions on Cybernetics (2019). [Paper]
• Conference papers
  • Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang. “Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning.” ICLR 2022 (Spotlight). [Paper] [Code]
  • Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu. “DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System.” AAAI 2019 (Oral). [Slides] [Paper] [Code]
• ArXiv
  • Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang. “SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning.” Oct, 2021. [Paper]
  • Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S Yu. “BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism.” Mar, 2021. [Paper]