Hi, I am a Ph.D. student at Tongji University and Shanghai Innovation Institute, majoring in Automotive Engineering.

Currently, I’m supervised by Prof. Hongyang Li and Yanjun Huang.

My research interest includes Autonomous Driving and Reinforcement learning.().

I currently lead the nuPlan / MTGS Track of the AlpaSim E2E Closed-Loop Challenge 2026.

🔥 News

2026.09: 🎉 Leading the nuPlan / MTGS Track of the AlpaSim E2E Closed-Loop Challenge 2026.
2026.04: 🎉🎉 WorldEngine is open-sourced! The missing infrastructure for Physical AI post-training in Autonomous Driving.
2024.09: 🎉 Become a member of OpenDriveLab
2024.08: 🎉 Enrolled in Shanghai Innovation Institute
2023.09: 🎉 Enrolled in Tongji University

📝 Publications

arXiv 2026

World Engine: Towards the Era of Post-Training for Autonomous Driving
Tianyu Li*, Li Chen*, Caojun Wang*, Haochen Liu*, Kashyap Chitta*, et al. (* equal contribution)

ITSC 2024

A Data-Driven Risk Assessment Method for Autonomous Vehicles Without Expert Rule Design
Caojun Wang, Shuo Yang, Yanjun Huang

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Haochen Liu, Tianyu Li, Haohan Yang, Li Chen, Caojun Wang, Ke Guo, Haochen Tian, Hongchen Li, Hongyang Li, Chen Lv, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2026
Quantitative Representation of Scenario Difficulty for Autonomous Driving Based on Adversarial Policy Search Shuo Yang, Caojun Wang, Yuanjian Zhang, Yuming Yin, Yanjun Huang, Shengbo Eben Li, Hong Chen, Research, 2024

Pseudo-Simulation for Autonomous Driving Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta, Conference on Robot Learning (CoRL), 2025
A Data-Driven Risk Assessment Method for Autonomous Vehicles Without Expert Rule Design Caojun Wang, Shuo Yang, Yanjun Huang, IEEE International Conference on Intelligent Transportation Systems (ITSC), 2024

2026, Track Lead, nuPlan / MTGS Track, AlpaSim E2E Closed-Loop Challenge 2026.
2026 - Present, Leaderboard Maintainer, NAVSIM: navtest (v1) and navhard (v2).

2024.09 - Present, Ph.D., Automotive Engineering, Shanghai Innovation Institute.
2023.09 - Present, Ph.D., Automotive Engineering, School of Automotive Studies, Tongji University.
2019.09 - 2023.06, B.E.(cum laude), Intelligent Manufacturing Engineering, School of Mechatronic Engineering and Automation, Shanghai University.