Resume
Academic Achievements
- DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation (Preprint, 2025)
- Flow as the Cross-Domain Manipulation Interface (8th Conference on Robot Learning (CoRL 2024), X-Embodiment Workshop (CoRL 2024), Best Paper Finalist)
- XSkill: Cross Embodiment Skill Discovery (7th Conference on Robot Learning (CoRL 2023))
- O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models (First Conference on Language Modeling (COLM 2024))
- ASPiRe: Adaptive Skill Priors for Reinforcement Learning (36th Conference on Neural Information Processing Systems (NeurIPS 2022))
Research Experience
- Member of the Robotics & Embodied Artificial Intelligence Lab (REAL) @ Stanford.
Education
- PhD in Computer Science from Stanford University, co-advised by Professor Shuran Song and Professor Manuela Veloso.
Background
- PhD student in Computer Science at Stanford University, with a broad interest in robotic manipulation.
Miscellany
- No personal interests mentioned.