Summary
Licheng Wen is a researcher at Shanghai AI Lab with 9 years of experience applying ML and planning to multi-agent and autonomous driving systems. He focuses on decision and planning problems for interacting vehicles, aiming to improve transportation through data-driven innovations and microscopic traffic-flow models. Previously he worked on robotics planning at Tencent Robotics X and built resilient, high-traffic testing tools at Alibaba’s Tmall Group, giving him both research depth and production engineering rigor. His background includes an MEng in Robotics from Zhejiang University and practical exposure to Berkeley’s summer program, reflecting a mix of strong academic grounding and cross-cultural research experience. Notably, his GitHub interests span LLM agents, autonomous driving, and multi-agent systems, signaling a convergence of modern AI agents with safety-critical mobility applications.
9 years of coding experience
Berkeley Summer Sessions, Berkeley Summer Sessions at University of California, Berkeley
Master of Engineering - MEng, Robotics Technology/Technician, Master of Engineering - MEng, Robotics Technology/Technician at Zhejiang University
English, Chinese