Anjian Li

Hi! I am a 5th year PhD candidate in the Department of Electrical and Computer Engineering at Princeton University, advised by Prof. Ryne Beeson. I also work closely with Prof. Adji Bousso Dieng and Prof. Bartolomeo Stellato. My research focuses on generative AI and world models for safe, reliable reasoning and decision-making in complex environments, with applications to autonomous systems and robotics. I’m also interested in developing machine learning methods to accelerate non-convex optimization.
Over the past summer, I interned with Waymo planning team, where I worked on post-training a generative foundation model that is currently running on thousands of fully autonomous vehicles.
Previously I did an internship at Honda Research Institute USA, working on consistency models. I did my master in computing science at Simon Fraser University, advised by Prof. Mo Chen. Before that, I received my bachelor in mathematcis at Beijing Normal University.
news
Jun 02, 2025 | I started a summer internship at Waymo! |
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Feb 28, 2025 | Our paper DiffuSolve: Diffusion-Based Solver for Non-Convex Trajectory Optimization has been accepted to 7th Annual Learning for Dynamics & Control Conference (L4DC)! |
Aug 23, 2024 | I finished my internship at Honda Research Institute USA! It has been a wonderful experience working with Faizan M. Tariq, Sangjae Bae and David Isele in the team. |
selected publications
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- DiffuSolve: Diffusion-Based Solver for Non-Convex Trajectory Optimization7th Annual Learning for Dynamics & Control Conference (L4DC), 2025
- Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided DiffusionIn IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024