Jiahui Zhang
I'm a visiting student at University of Southern California (USC), advised by Prof. Erdem Biyik.
I received my master's degree in Electronic Engineering from USC .
Before that, I completed my undergrad in Fan Gongxiu Honors College at the Beijing University of Technology and majored in Electronic Information Engineering.
I have spent two years as a research student at Cognitive Learning for Vision and Robotics Lab (CLVR), advised by Prof. Joseph J. Lim.
I was also a research intern at Horizon Robotics, working with Haonan Yu and Wei Xu.
My research interests lie in robot learning and reinforcement learning, with a particular interest in developing general-purpose robots to performing diverse tasks in daily human life. I am also interested in training robots to acquire new skills with pre-trained foundation models or large datasets.
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I am actively seeking a Ph.D. position for Fall 2025.
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Cross Domain Imitation Learning via MPC
(Internship Project)
Jiahui Zhang, Haonan Yu,Jesse Zhang,Karl Pertsch,Joseph J. Lim,Wei Xu
[Website]
We introduce CDMPC, an approach for learning new skill combinations from long-horizon skill trajectories. CDMPC enables agents to chain skills from diverse source domains and integrates them with a low-level policy in the target domain.
CDMPC learns to chain short-horizon skills from long-horizon trajectories across demonstrations from diverse source domains, including various skill combinations. The policy learned from CDMPC adapts to tasks from any source domain and makes the agent able to tackle new tasks that require novel skill combinations.
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Served as a reviewer: IROS 2024
Presidential scholarship, Beijing University of Technology. 2018
Outstanding Research Achievement Award, Beijing University of Technology, Fan Gongxiu Honors College. 2017
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