Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning. - Haichuan Gao; Zhile Yang; Xin Su; Tian Tan 003; Feng Chen 007 (IROS, 2020)

CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. - Chongkai Gao; Haichuan Gao; Shangqi Guo; Tianren Zhang; Feng Chen 007 (IROS, 2021)

Iterative Interactive Modeling for Knotting Plastic Bags. - Chongkai Gao; Zekun Li; Haichuan Gao; Feng Chen (CoRL, 2022)

Learning Invariable Semantical Representation from Language for Extensible Policy Generalization. - Yihan Li; Jinsheng Ren; Tianrun Xu; Tianren Zhang; Haichuan Gao; Feng Chen 007 (CoRR, 2022)

Trajectory Planning for an Autonomous Vehicle in Spatially Constrained Environments. - Yuqing Guo; Danya Yao; Bai Li 002; Zimin He; Haichuan Gao; Li Li 013 (IEEE Trans. Intell. Transp. Syst., 2022)

Fast Counterfactual Inference for History-Based Reinforcement Learning. - Haichuan Gao; Tianren Zhang; Zhile Yang; Yuqing Guo; Jinsheng Ren; Shangqi Guo; Feng Chen 007 (AAAI, 2023)

Down-Sized Initialization for Optimization-Based Unstructured Trajectory Planning by Only Optimizing Critical Variables. - Yuqing Guo; Danya Yao; Bai Li 002; Haichuan Gao; Li Li 013 (IEEE Trans. Intell. Veh., 2023)

Partial Consistency for Stabilizing Undiscounted Reinforcement Learning. - Haichuan Gao; Zhile Yang; Tian Tan 003; Tianren Zhang; Jinsheng Ren; Pengfei Sun; Shangqi Guo; Feng Chen 007 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers. - Yizhou Jiang; Kunlin Hu; Tianren Zhang; Haichuan Gao; Yuqian Liu; Ying Fang; Feng Chen 007 (ICLR, 2024)

Causal dreamer for partially observable model-based reinforcement learning. - Haichuan Gao; Tianrun Xu; Tianren Zhang; Yuqing Guo; Chujie Zhao; Jinsheng Ren; Yizhou Jiang; Shangqi Guo; Feng Chen 007 (Neurocomputing, 2025)