Jiayu Chen is an Assistant Professor in Data and Systems Engineering at The University of Hong Kong, where he directs the Agentic Intelligence Lab. His academic background includes a PhD from Purdue University and postdoctoral research at Carnegie Mellon. His expertise lies in reinforcement learning, sequential decision-making, and robotic control.
His postdoctoral work at Carnegie Mellon, in collaboration with Princeton University, focused on applying data-driven methods for profile control in nuclear fusion.
Jiayu Chen
Assistant Professor at The University of Hong Kong
Hong Kong, Hong Kong SAR
Overview
Topics They Care About
Reinforcement Learning
His core research area, with numerous first-author publications in top-tier conferences like NeurIPS and ICML and a focus on developing robust algorithms for real-world use.
Robotic Control
A primary application of his research, including work on humanoid robotics, self-driving technologies, and using imitation learning for robotic tasks.
Nuclear Fusion Control
A specific focus of his recent postdoctoral fellowship at Carnegie Mellon, where he worked on data-driven profile control for nuclear fusion.
Media Appearances
Jiayu has no verified media appearances
Work History
7-2025
Assistant Professor at The University of Hong Kong
5-2024 - 5-2025
Postdoctoral Fellow at Carnegie Mellon University
8-2021 - 6-2024
Graduate Teaching Assistant at Purdue University College of Engineering
Education
7-2020 - 8-2024
Ph.D. from Purdue University
2016 - 2020
Bachelor's degree from Peking University
More Information
Social Presence :
Prographics :
Exp : 4
Location : Hong Kong, Hong Kong SAR
Job Level : Junior
Designation : Assistant Professor at The University of Hong Kong
