Robot Learning Embodied AI Dexterous Manipulation
I am currently a Research Engineer at Noematrix, where I work on building robotics foundation models for generalizable embodied intelligence.
My research interests center on robot learning for generalizable locomotion and manipulation, with a particular focus on how vision, language, and action representations can be combined to scale the capabilities of embodied agents.
Previously, I was a researcher at Shanghai Qi Zhi Institute, working with Prof. Huazhe Xu at Tsinghua University. I received my M.S. in Electrical and Computer Engineering from UC San Diego, where I was advised by Prof. Xiaolong Wang, and my B.E. in Electrical Engineering and Automation from Zhejiang University, supervised by Prof. Liangjing Yang and Prof. Zuozhu Liu.
Started my journey at Noematrix as a Research Engineer.
UniDex accepted to CVPR 2026.
VIM accepted to CoRL 2024.
Joined Shanghai Qi Zhi Institute as a Researcher.
Completed my graduate studies at UC San Diego.
* Core Contributors † Project Lead
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
UniDex is a robot foundation suite to construct large-scale robot data from egocentric human videos, and a vision-language-action policy for universal dexterous hand control.
Conference on Robot Learning (CoRL), 2024
CoRL Deployable Workshop, 2023 Workshop Best Paper Award
Our system learns a Single Instructable Motion Prior from a diverse reference motion dataset.
We engineered a sophisticated Augmented Reality (AR) auxiliary system designed to accurately track and tag tumor locations in real-time. This system was adeptly integrated with the vision system of an endoscope mounted on an OpenManipulator-X robot arm. It effectively displayed the pinpointed tumor locations directly onto the endoscope's visual feed, enhancing precision and guidance during medical procedures.
We proposed an innovative self-supervised representation learning strategy to enhance the accuracy of semantic segmentation in Cone-Beam Computed Tomography (CBCT) datasets.
San Diego, CA
2022.9 - 2024.3
M.S. in Electrical & Computer Engineering
Hangzhou, China
2017.8 - 2021.6
B.E. in Electrical Engineering and its Automation
Spring 2021
ECE 342 & 343 - Electronic Circuits
Instructor: Prof. Aili Wang
Fall 2020
ECE 313 - Probability with Engineering Application
Instructor: Prof. Mark Butala