1. Paper 'Learning Dexterous Manipulation with Quantized Hand State' accepted by arXiv. 2. Paper 'AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons' accepted by CoRL 2025 (oral). 3. Paper 'FoAR: Force-Aware Reactive Policy for Contact-Rich Robotic Manipulation' accepted by RA-L and IROS 2025. 4. Received multiple scholarships, including The Sam and Daisy Wu Scholarship (one of 10 winners in JI) in 2025, Student Development Scholarship - Sports (one of 5 winners in JI) in 2025, John Wu & Jane Sun Excellence Scholarship (one of 10 winners in JI) in 2024, Student Development Scholarship - Sports (one of 5 winners in JI) in 2024, and Fan Hsu-chi Scholarship (one of 15 winners) in 2024.
Research Experience
1. Research Intern at UCSD, advised by Prof. Hao Su. 2. Member of the SJTU Machine Vision and Intelligence Group (MVIG), advised by Dr. Hao-Shu Fang and Prof. Cewu Lu.
Education
Undergraduate in Electrical and Computer Engineering at Shanghai Jiao Tong University (time not provided), advisors: Dr. Hao-Shu Fang and Prof. Cewu Lu; Research Intern at UCSD (time not provided), advisor: Prof. Hao Su.
Background
A senior undergraduate student at Shanghai Jiao Tong University, majoring in Electrical and Computer Engineering. Currently a visiting research intern at UCSD, advised by Prof. Hao Su. Previously, a member of the SJTU Machine Vision and Intelligence Group (MVIG), advised by Dr. Hao-Shu Fang and Prof. Cewu Lu. Research interests mainly lie in dexterous manipulation, tactile sensing, and cross-embodiment learning, with the ultimate goal of building intelligent robots with human-level manipulation dexterity.