A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies. - Li Jiang 008; Ting Zhang; Qiruyi Zuo; Chenyu Tian; George P. Chan; Wai Kin Victor Chan (ICITE, 2022)

A Policy-Guided Imitation Approach for Offline Reinforcement Learning. - Haoran Xu 003; Li Jiang 008; Jianxiong Li; Xianyuan Zhan (NeurIPS, 2022)

An Efficient Multi-Agent Optimization Approach for Coordinated Massive MIMO Beamforming. - Li Jiang 008; Xiangsen Wang; Aidong Yang; Xidong Wang; Xiaojia Jin; Wei Wang; Xiaozhou Ye; Ye Ouyang; Xianyuan Zhan (ICC, 2023)

Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. - Haoran Xu 003; Li Jiang 008; Jianxiong Li; Zhuoran Yang; Zhaoran Wang 001; Wai Kin Victor Chan; Xianyuan Zhan (ICLR, 2023)

Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL. - Peng Cheng 013; Xianyuan Zhan; Zhi-Hao Wu 001; Wenjia Zhang; Youfang Lin; Shoucheng Song; Han Wang; Li Jiang 008 (NeurIPS, 2023)

Offline Reinforcement Learning with Imbalanced Datasets. - Li Jiang 008; Sijie Chen; Jielin Qiu; Haoran Xu 003; Wai Kin Chan; Zhao Ding (CoRR, 2023)

Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning. - Xiaoyun Feng; Li Jiang 008; Xudong Yu; Haoran Xu 003; Xiaoyan Sun; Jie Wang; Xianyuan Zhan; Wai Kin Chan (IEEE Trans. Games, 2024)

Are Expressive Models Truly Necessary for Offline RL? - Guan Wang; Haoyi Niu; Jianxiong Li; Li Jiang 008; Jianming Hu; Xianyuan Zhan (AAAI, 2025)