I am a first-year Ph.D. student of MMLab, The Chinese University of Hong Kong, supervised by Prof. Dahua Lin. Prior to this, I received my Bachelor's degree in Software Engineering at University of Electronic Science and Technology of China.
Currently I work with Jiangmiao Pang at Shanghai AI Laboratory, focusing on Embodied AI.
Research Interest
Reinforcement Learning, Robotics and Computer Vision
Publications
/ . Representative papers are highlighted.
(* indicates equal contribution)
MoVie: Visual Model-Based Policy Adaptation for View Generalization
Sizhe Yang*, Yanjie Ze*, Huazhe Xu
Conference on Neural Information Processing Systems (NeurIPS), 2023
project page / arXiv / code / bibtex
Sizhe Yang*, Yanjie Ze*, Huazhe Xu
Conference on Neural Information Processing Systems (NeurIPS), 2023
project page / arXiv / code / bibtex
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization
Zhecheng Yuan*, Sizhe Yang*, Pu Hua, Can Chang, Kaizhe Hu, Xiaolong Wang, Huazhe Xu
Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS), 2023
project page / arXiv / code / bibtex
Zhecheng Yuan*, Sizhe Yang*, Pu Hua, Can Chang, Kaizhe Hu, Xiaolong Wang, Huazhe Xu
Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS), 2023
project page / arXiv / code / bibtex
Honors and Awards
• SenseTime Scholarship (selects 30 undergraduates in the field of AI from all over China annually)• National Scholarship for 2022/2023 academic year
• National Scholarship for 2021/2022 academic year
• National Scholarship for 2020/2021 academic year