Sizhe Yang

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 and Jia Zeng at Shanghai AI Laboratory, focusing on Embodied AI.

Research Interest

Embodied AI, Robotics, and Representation learning

Publications

/ . Representative papers are highlighted.

(* indicates equal contribution)

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
project page / arXiv / code

Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation
Yang Tian*, Sizhe Yang*, 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

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

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