Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning. - Jifeng Hu; Yanchao Sun; Hechang Chen; Sili Huang; Haiyin Piao; Yi Chang 001; Lichao Sun 001 (NeurIPS, 2022)

Electromagnetic Structure of the Neutron from Annihilation Reactions. - Paul Larin; Xiaorong Zhou; Jifeng Hu; Frank E. Maas; Rinaldo Baldini Ferroli; Haiming Hu; Guangshun Huang (Symmetry, 2022)

Cross-Modal Audio-Text Retrieval via Sequential Feature Augmentation. - Fuhu Song; Jifeng Hu; Che Wang; Jiao Huang; Haowen Zhang; Yi Wang 102 (CACML, 2023)

Multiple Frequency Bands Temporal State Representation for Deep Reinforcement Learning. - Che Wang; Jifeng Hu; Fuhu Song; Jiao Huang; Zixuan Yang; Yusen Wang (CACML, 2023)

QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework. - Jiao Huang; Jifeng Hu; Luheng Yang; Zhihang Ren; Hechang Chen; Bo Yang 002 (IJCNN, 2023)

Learning Generalizable Agents via Saliency-guided Features Decorrelation. - Sili Huang; Yanchao Sun; Jifeng Hu; Siyuan Guo; Hechang Chen; Yi Chang 001; Lichao Sun 001; Bo Yang 002 (NeurIPS, 2023)

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. - Jifeng Hu; Yanchao Sun; Sili Huang; Siyuan Guo; Hechang Chen; Li Shen 008; Lichao Sun 001; Yi Chang 001; Dacheng Tao (CoRR, 2023)

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning. - Siyuan Guo; Yanchao Sun; Jifeng Hu; Sili Huang; Hechang Chen; Haiyin Piao; Lichao Sun 001; Yi Chang 001 (CoRR, 2023)

In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. - Sili Huang; Jifeng Hu; Hechang Chen; Lichao Sun 001; Bo Yang 002 (ICML, 2024)

Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning. - Sinuo Zhang; Jifeng Hu; Xinqi Du; Zhejian Yang; Yang Yu; Hechang Chen (IJCNN, 2024)

Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. - Sili Huang; Jifeng Hu; Zhejian Yang; Liwei Yang; Tao Luo; Hechang Chen; Lichao Sun 001; Bo Yang 002 (NeurIPS, 2024)

Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal. - Jifeng Hu; Li Shen 008; Sili Huang; Zhejian Yang; Hechang Chen; Lichao Sun 001; Yi Chang 001; Dacheng Tao (CoRR, 2024)

Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces. - Jifeng Hu; Sili Huang; Li Shen 008; Zhejian Yang; Shengchao Hu; Shisong Tang; Hechang Chen; Yi Chang 001; Dacheng Tao; Lichao Sun 001 (CoRR, 2024)

Continual Task Learning through Adaptive Policy Self-Composition. - Shengchao Hu; Yuhang Zhou; Ziqing Fan; Jifeng Hu; Li Shen 008; Ya Zhang 002; Dacheng Tao (CoRR, 2024)

Generalized multi-agent competitive reinforcement learning with differential augmentation. - Tianyi Liu; Hechang Chen; Jifeng Hu; Zhejian Yang; Bo Yu 013; Xinqi Du; Yinxiao Miao; Yi Chang 001 (Expert Syst. Appl., 2024)

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning. - Jifeng Hu; Sili Huang; Zhejian Yang; Shengchao Hu; Li Shen 008; Hechang Chen; Lichao Sun 001; Yi Chang 001; Dacheng Tao (CoRR, 2025)

Decision Flow Policy Optimization. - Jifeng Hu; Sili Huang; Siyuan Guo; Zhaogeng Liu; Li Shen 008; Lichao Sun 001; Hechang Chen; Yi Chang 001; Dacheng Tao (CoRR, 2025)

A Flexible Diffusion Convolution for Graph Neural Networks. - Songwei Zhao; Bo Yu 013; Kang Yang; Sinuo Zhang; Jifeng Hu; Yuan Jiang 007; Philip S. Yu; Hechang Chen (IEEE Trans. Knowl. Data Eng., 2025)

Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments. - Sili Huang; Jifeng Hu; Hechang Chen; Peng Cui 001; Haiyin Piao; Lichao Sun 001; Bo Yang 002 (IEEE Trans. Ind. Informatics, 2025)