Publications
- Journal papers
- Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang. “Causal Reinforcement Learning: A Survey.” Transactions on Machine Learning Research (2023). [Tutorial] [Paper] [Repo] (The first comprehensive survey on causal reinforcement learning)
- Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang. “False Correlation Reduction for Offline Reinforcement Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) (CORE A*, IF=24.31). [Paper] [Code]
- 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) (CORE A*, IF=10.4). [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) (CORE A, IF=11.8). [Paper]
- Conference papers
- Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang. “What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning.” IJCAI 2024 (CORE A*). [Paper] [Code]
- Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang. “Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning.” ICLR 2022 (CORE A*, 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 (CORE A*, Oral). [Talk][Paper] [Code]
- ArXiv
- 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]