Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. - Zhecheng Yuan; Guozheng Ma; Yao Mu 001; Bo Xia; Bo Yuan 003; Xueqian Wang 001; Ping Luo 002; Huazhe Xu (IJCAI, 2022)

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning. - Zhecheng Yuan; Zhengrong Xue; Bo Yuan; Xueqian Wang 001; Yi Wu 013; Yang Gao 029; Huazhe Xu (NeurIPS, 2022)

A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning. - Guozheng Ma; Zhen Wang 030; Zhecheng Yuan; Xueqian Wang 001; Bo Yuan 003; Dacheng Tao (CoRR, 2022)

On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. - Nicklas Hansen 001; Zhecheng Yuan; Yanjie Ze; Tongzhou Mu; Aravind Rajeswaran; Hao Su 001; Huazhe Xu; Xiaolong Wang 004 (ICML, 2023)

USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation. - Zhengrong Xue; Zhecheng Yuan; Jiashun Wang; Xueqian Wang 001; Yang Gao 029; Huazhe Xu (ICRA, 2023)

Extraneousness-Aware Imitation Learning. - Ray Chen Zheng; Kaizhe Hu; Zhecheng Yuan; Boyuan Chen 003; Huazhe Xu (ICRA, 2023)

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. - Zhecheng Yuan; Sizhe Yang; Pu Hua; Can Chang; Kaizhe Hu; Huazhe Xu (NeurIPS, 2023)

H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation. - Yanjie Ze; Yuyao Liu; Ruizhe Shi; Jiaxin Qin; Zhecheng Yuan; Jiashun Wang; Huazhe Xu (NeurIPS, 2023)

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. - Zhecheng Yuan; Sizhe Yang; Pu Hua; Can Chang; Kaizhe Hu; Xiaolong Wang; Huazhe Xu (CoRR, 2023)

Generalizable Visual Reinforcement Learning with Segment Anything Model. - Ziyu Wang; Yanjie Ze; Yifei Sun; Zhecheng Yuan; Huazhe Xu (CoRR, 2023)

Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning. - Zhecheng Yuan; Tianming Wei; Shuiqi Cheng; Gu Zhang; Yuanpei Chen; Huazhe Xu (CoRL, 2024)

GenSim: Generating Robotic Simulation Tasks via Large Language Models. - Lirui Wang; Yiyang Ling; Zhecheng Yuan; Mohit Shridhar; Chen Bao; Yuzhe Qin; Bailin Wang; Huazhe Xu; Xiaolong Wang 004 (ICLR, 2024)

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. - Guowei Xu 001; Ruijie Zheng; Yongyuan Liang; Xiyao Wang; Zhecheng Yuan; Tianying Ji; Yu Luo; Xiaoyu Liu 003; Jiaxin Yuan; Pu Hua; Shuzhen Li; Yanjie Ze; et al. (ICLR, 2024)

RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation. - Junting Chen; Yao Mu 001; Qiaojun Yu; Tianming Wei; Silang Wu; Zhecheng Yuan; Zhixuan Liang; Chao Yang 026; Kaipeng Zhang; Wenqi Shao; Yu Qiao 001; Huazhe Xu; et al. (CoRR, 2024)

RoboDuet: A Framework Affording Mobile-Manipulation and Cross-Embodiment. - Guoping Pan; Qingwei Ben; Zhecheng Yuan; Guangqi Jiang; Yandong Ji; Jiangmiao Pang; Houde Liu; Huazhe Xu (CoRR, 2024)

DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo. - Junzhe Zhu; Yuanchen Ju; Junyi Zhang; Muhan Wang; Zhecheng Yuan; Kaizhe Hu; Huazhe Xu (ICLR, 2025)

DOGlove: Dexterous Manipulation with a Low-Cost Open-Source Haptic Force Feedback Glove. - Han Zhang; Songbo Hu; Zhecheng Yuan; Huazhe Xu (CoRR, 2025)

DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning. - Zhengrong Xue; Shuying Deng; Zhenyang Chen; Yixuan Wang; Zhecheng Yuan; Huazhe Xu (CoRR, 2025)

H3DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning. - Yiyang Lu; Yufeng Tian; Zhecheng Yuan; Xianbang Wang; Pu Hua; Zhengrong Xue; Huazhe Xu (CoRR, 2025)

RoboDuet: Learning a Cooperative Policy for Whole-Body Legged Loco-Manipulation. - Guoping Pan; Qingwei Ben; Zhecheng Yuan; Guangqi Jiang; Yandong Ji; Shoujie Li; Jiangmiao Pang; Houde Liu; Huazhe Xu (IEEE Robotics Autom. Lett., 2025)

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control. - Zilin Kang; Chenyuan Hu; Yu Luo; Zhecheng Yuan; Ruijie Zheng; Huazhe Xu (CoRR, 2025)