Published multiple papers such as 'Reinforcement Learning with Human Feedback for Realistic Traffic Simulation' (ICRA'24), 'Language-Guided Traffic Simulation via Scene-Level Diffusion' (CoRL'23, Oral), etc. Won the Best Demo Award Runner-up at AutoSec'21.
Research Experience
A research scientist at the NVIDIA Autonomous Vehicle Research group, directed by Marco Pavone.
Education
Ph.D. from the Computer Science and Engineering department of University of Michigan, advised by Morley Mao; B.S. from both University of Michigan and Shanghai Jiao Tong University.
Background
Research interests span machine learning security, sensor security, and system security. The research goal is to build secure and safe autonomous driving systems that are aligned with human.
Miscellany
Besides research, also finds photography another lens to observe the world better.