I am a second-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, Linning Xu, and Jia Zeng at Shanghai AI Laboratory, focusing on Embodied AI.
Research Interest
Embodied AI and Robotics.
Publications
See my Google Scholar profile for a full list of publications.
Representative papers are highlighted.
(* indicates equal contribution)
UltraDexGrasp: Learning Universal Dexterous Grasping for Bimanual Robots with Synthetic Data
Sizhe Yang, Yiman Xie, Zhixuan Liang, Yang Tian, Jia Zeng, Dahua Lin, Jiangmiao Pang
International Conference on Robotics and Automation (ICRA), 2026
project page / arXiv / code (Coming soon!)
Sizhe Yang, Yiman Xie, Zhixuan Liang, Yang Tian, Jia Zeng, Dahua Lin, Jiangmiao Pang
International Conference on Robotics and Automation (ICRA), 2026
project page / arXiv / code (Coming soon!)
One-Policy-Fits-All: Geometry-Aware Action Latents for Cross-Embodiment Manipulation
Juncheng Mu*, Sizhe Yang*, Hojin Bae*, Feiyu Jia, Qingwei Ben, Boyi Li, Huazhe Xu, Jiangmiao Pang
International Conference on Robotics and Automation (ICRA), 2026
project page / arXiv / code (Coming soon!)
Juncheng Mu*, Sizhe Yang*, Hojin Bae*, Feiyu Jia, Qingwei Ben, Boyi Li, Huazhe Xu, Jiangmiao Pang
International Conference on Robotics and Automation (ICRA), 2026
project page / arXiv / code (Coming soon!)
Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation
Sizhe Yang*, Wenye Yu*, Jia Zeng, Jun Lv, Kerui Ren, Cewu Lu, Dahua Lin, Jiangmiao Pang
Robotics: Science and Systems (RSS), 2025 (Oral)
project page / arXiv / code
Sizhe Yang*, Wenye Yu*, Jia Zeng, Jun Lv, Kerui Ren, Cewu Lu, Dahua Lin, Jiangmiao Pang
Robotics: Science and Systems (RSS), 2025 (Oral)
project page / arXiv / code
Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation
Sizhe Yang*, Yang Tian* (* equal contribution, author ordering determined by coin flip), Jia Zeng, Ping Wang, Dahua Lin, Hao Dong, Jiangmiao Pang
The International Conference on Learning Representations (ICLR), 2025 (Oral)
project page / arXiv / code
Sizhe Yang*, Yang Tian* (* equal contribution, author ordering determined by coin flip), Jia Zeng, Ping Wang, Dahua Lin, Hao Dong, Jiangmiao Pang
The International Conference on Learning Representations (ICLR), 2025 (Oral)
project page / arXiv / code
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
Sizhe Yang*, Yanjie Ze*, Huazhe Xu
Conference on Neural Information Processing Systems (NeurIPS), 2023
project page / arXiv / code
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
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
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
Academic Services
I am willing to help build the academic community. I serve as the reviewer for• TMLR
• NeurIPS
• ICRA