Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Published papers accepted by TMLR, ACC 2024, ICRA 2023, IV 2023, RA-L, CPHS22, IFAC Workshop on Cyber-Physical & Human-Systems, 2022, IROS 2022, AIM 2022, ISFA 2022, Bayesian Deep Learning workshop at NeurIPS. Awards: Outstanding Interaction Paper award at ICRA 2023; Best student paper award at CPHS22.
Research Experience
Worked on connected and automated vehicles, involving both hardware (e.g., Lincoln MKZ platform) and software (e.g., auto map generation for Carla). Presented research on close-proximity human-robot collaboration at the RSS22 workshop.
Education
Ph.D. student at the Robotics Institute, CMU, advised by Dr. Changliu Liu; Master's degree in Electrical & Computer Engineering from the University of Michigan, Ann Arbor; Bachelor's degrees in Computer Engineering from the University of Michigan, Ann Arbor, and ECE from the Joint Institute at Shanghai Jiao Tong University.
Background
Research interests: Adaptable approaches to provably safe control and human-robot interaction. Specializes in robotics.