Chen, Hechang

13 publications

NeurIPS 2025 Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

ICML 2025 Calibrating Video Watch-Time Predictions with Credible Prototype Alignment Chao Cui, Shisong Tang, Fan Li, Jiechao Gao, Hechang Chen

AAAI 2025 GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs Songwei Zhao, Yuan Jiang, Zijing Zhang, Yang Yu, Hechang Chen

NeurIPS 2025 InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning Haotian Chi, Zeyu Feng, Yueming Lyu, Chengqi Zheng, Linbo Luo, Yew-Soon Ong, Ivor Tsang, Hechang Chen, Yi Chang, Haiyan Yin

ICLRW 2025 LLMV-AgE: Verifying LLM-Guided Planning for Agentic Exploration in Open-World RL Haotian Chi, Songwei Zhao, Ivor Tsang, Yew-Soon Ong, Hechang Chen, Yi Chang, Haiyan Yin

NeurIPS 2025 Tackling Continual Offline RL Through Selective Weights Activation on Aligned Spaces Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

ICML 2024 DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang

NeurIPS 2024 Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang

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

NeurIPS 2023 Learning Generalizable Agents via Saliency-Guided Features Decorrelation Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang

AAAI 2023 The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient According to an Off-Policy Measure Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang

NeurIPS 2022 Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun

IJCAI 2020 Attention-Based Multi-Level Feature Fusion for Named Entity Recognition Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang