Resume
Academic Achievements
- - Publications:
- - 'Talking Vehicles: Towards Natural Language Communication for Cooperative Autonomous Driving via Self-Play', WMAC 2025
- - 'Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents', AAAI 2024
- - 'MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection', ICLR 2023
- - 'Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles', CVPR 2022
- - Academic Services: Reviewer for NeurIPS, ICML, ICLR, AAMAS, CVPR, RA-L
Research Experience
- - Worked at the Learning Agent Research Group (LARG) at The University of Texas at Austin
- - Interned at Meta FAIR Labs in Summer 2022, Advisors: Xiaomeng Yang and Yuandong Tian
Education
- - PhD: Electrical and Computer Engineering, The University of Texas at Austin, Advisor: Peter Stone, Time not specified
- - Bachelor's: Mechanical Engineering (Robotics), Shanghai Jiao Tong University
Background
- - Research Interests: Multi-agent (Reinforcement) Learning, Game Theory, Robotics
- - Field of Study: Electrical and Computer Engineering
- - Background: Obtained a PhD in Electrical and Computer Engineering from The University of Texas at Austin, with the goal of building a general AI for human benefits. Interned at Meta FAIR Labs in Summer 2022.
Miscellany
- - Hobbies: Tennis, Cello, Rap Music