Scholar
Sizhe Yang
Google Scholar ID: ue3SjGgAAAAJ
CUHK
Citations & Impact
Citations
139
H-index
5
i10-index
5
Publications
6
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Representative papers:
- - 'Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation', Sizhe Yang* et al., Robotics: Science and Systems (RSS), 2025 (Oral).
- - 'Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation', Yang Tian*, Sizhe Yang* et al., The International Conference on Learning Representations (ICLR), 2025 (Oral).
- - 'MoVie: Visual Model-Based Policy Adaptation for View Generalization', Sizhe Yang* et al., Conference on Neural Information Processing Systems (NeurIPS), 2023.
- - 'RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization', Zhecheng Yuan*, Sizhe Yang* et al., Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS), 2023.
- Awards: SenseTime Scholarship, National Scholarship for 2022/2023 academic year, National Scholarship for 2021/2022 academic year, National Scholarship for 2020/2021 academic year.
Research Experience
- Engaged in doctoral research at MMLab, the Chinese University of Hong Kong, and conducting research work at Shanghai AI Laboratory.
Education
- Second-year Ph.D. student at MMLab, the Chinese University of Hong Kong, supervised by Prof. Dahua Lin; Bachelor's degree in Software Engineering from the University of Electronic Science and Technology of China.
Background
- Research Interest: Embodied AI and Robotics. Currently working with Jiangmiao Pang and Jia Zeng at Shanghai AI Laboratory, focusing on Embodied AI.
Miscellany
- Academic Services: Reviewer for TMLR, NeurIPS, ICRA.
