Zhecheng Yuan

According to our database, Zhecheng Yuan authored at least 16 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning.

Zhecheng Yuan, Tianming Wei, Shuiqi Cheng, Gu Zhang, Yuanpei Chen, Huazhe Xu

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

RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation.

Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, Silang Wu, Zhecheng Yuan, Zhixuan Liang, Chao Yang, Kaipeng Zhang, Wenqi Shao, Yu Qiao, Huazhe Xu, Mingyu Ding, Ping Luo

CoRR, 2024

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.

Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Generalizable Visual Reinforcement Learning with Segment Anything Model.

Ziyu Wang, Yanjie Ze, Yifei Sun, Zhecheng Yuan, Huazhe Xu

CoRR, 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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization.

Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extraneousness-Aware Imitation Learning.

Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation.

Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline.

Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang

Proceedings of the International Conference on Machine Learning, 2023

2022

A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning.

Guozheng Ma, Zhen Wang, Zhecheng Yuan, Xueqian Wang, Bo Yuan, Dacheng Tao

CoRR, 2022

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning.

Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning.

Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022