Jianhan (Jaime) Ma
马健涵

I am currently a research engineer at Noematrix. Previously I was a researcher at Shanghai Qi Zhi Institute, under the mentorship of Prof. Huazhe Xu at Tsinghua University. I obtained my Master of Science degree at the Electrical & Computer Engineering department of UC San Diego, where I was fortunated to be advised by Prof. Xiaolong Wang.

My research is focused on advanced robot learning techniques to acquire generalized skills for locomotion & manipulation. My passion lies in exploring how distinct yet interconnected modalities, including visual and language inputs, can synergistically enhance the capabilities of intelligent systems.

Before joining UCSD, I obtained my Bachelor of Engineering(B.E) dgree in Electrical Engineering and its Automation at Zhejiang University, supervised by Prof. Liangjing Yang and Prof. Zuozhu Liu.

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Publications & Preprints

* Denotes Equal Contribution



UniDex: A Robot Foundation Suite for Universal Dexterous Hand Control from Egocentric Human Videos
Gu Zhang, Qicheng Xu, Haozhe Zhang, Jianhan Ma, Long He, Yiming Bao, Zeyu Ping, Zhecheng Yuan, Chenhao Lu, Chengbo Yuan, Tianhai Liang, Xiaoyu Tian, Maanping Shao, Feihong Zhang, Mingyu Ding, Yang Gao, Hao Zhao, Hang Zhao, Huazhe Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Project Page / arXiv /

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.

VIM Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior
Ruihan Yang*, Zhuoqun Chen*, Jianhan Ma*, Chongyi Zheng*, Yiyu Chen, Quan Nguyen, Xiaolong Wang

Conference on Robot Learning (CoRL), 2024
CoRL Deployable Workshop, 2023 (Workshop Best Paper Award)
Project Page / arXiv / Video

Our system learns a Single Instructable Motion Prior from a diverse reference motion dataset.

Selected Projects

445 Camera-based Augmented Reality Endoscope Auxiliary System
Advisor: Prof. Liangjing Yang
Project Report

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

CBCT Self-supervised Learning for Semantic Tooth Segmentation on Cone-Beam CT Image
Advisor: Prof. Zuozhu Liu
Project Report

We proposed an innovative self-supervised representation learning strategy to enhance the accuracy of semantic segmentation in Cone-Beam Computed Tomography (CBCT) datasets.

Education

UCSD UC San Diego, San Diego, CA

2022.9 - Present
M.S in Electrical & Computer Engineering
ZJU Zhejiang University, Hangzhou, China

2017.8 - 2021.6
B.E in Electrical Engineering and its Automation

Teaching

ZJUI Spring 2021
Teaching Assistant, ECE 342 & 343 - Electronic Circuits
Instructor: Prof. Aili Wang

Fall 2020
Teaching Assistant, ECE 313 - Probability with Engineering Application
Instructor: Prof. Mark Butala

Borrowed from John Barron.