Lin Li(李琳(浙工大))

Lin Li(李琳(浙工大))

Associate Professor

About Me

I am currently an Associate Professor with the College of Computer Science and Technology at Zhejiang University of Technology, China, where I working with Prof. Chunhua Shen. Previously, I worked as a Research Fellow at the School of Mechanical and Aerospace Engineering at Nanyang Technological University (NTU), Singapore, where I collaborated with Prof. Chen Lv on autonomous driving and embodied intelligence research. I received my Ph.D. degree in Vehicle Engineering from Nanjing University of Aeronautics and Astronautics (NUAA), advised by Prof. Wanzhong Zhao. During my doctoral studies, I was also a visiting Ph.D. researcher at Cranfield University, UK. My research lies at the intersection of embodied AI, autonomous systems, reinforcement learning, and foundation models. I focus on developing intelligent agents that can perceive, reason, plan, and safely interact in complex dynamic environments.

My recent research interests include:

  • Embodied Intelligence
  • Vision-Language-Action Models
  • World Models for Robotics
  • Cognitive Decision Making
  • Human-Aware Planning
  • Safety-Critical AI

Selected Publications

[1] Lin Li, Shuo Cheng, Xiangkun He, *Chen Lv. Predictive Risk-Aware MARL-Based Cooperative Driving Strategy for CAVs in Highly Interactive Driving Environments. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2026.

[2] Lin Li, Yuxin Cai, Jianwu Fang, Jianru Xue, *Chen Lv. COVLM-RL: Critical Object-Oriented Reasoning for Autonomous Driving Using VLM-Guided Reinforcement Learning. IEEE ITSC 2025 🏆 Best Paper Award (First Prize)

[3] Lin Li, Runjia Tan, Jianwu Fang, Jianru Xue, *Chen Lv. LLM-Augmented Hierarchical Reinforcement Learning for Human-Like Decision Making. Expert Systems with Applications (ESWA), 2025.

[4]Lin Li, *Wanzhong Zhao, Chunyan Wang.Nash Double Q-Based Multi-Agent Deep Reinforcement Learning for Interactive Merging Strategy in Mixed Traffic. Expert Systems with Applications (ESWA), 2024.

[5] Lin Li, *Wanzhong Zhao. Cooperative Merging Strategy Considering Stochastic Driving Style at On-Ramps: A Bayesian Game Approach. Automotive Innovation, 2024.

[6] Lin Li, *Wanzhong Zhao. POMDP Motion Planning Algorithm Based on Multi-Modal Driving Intention. IEEE Transactions on Intelligent Vehicles (T-IV), 2023.

[7] Lin Li, *Wanzhong Zhao, Chunyan Wang. BRAM-ED: Vehicle Trajectory Prediction Considering the Change of Driving Behavior. IEEE/ASME Transactions on Mechatronics, 2022.

[8] Lin Li, *Wanzhong Zhao, Can Xu. Lane-Change Intention Inference Based on RNN for Autonomous Driving on Highways. IEEE Transactions on Vehicular Technology (TVT), 2021.

[9] Lin Li, *Wanzhong Zhao, Chunyan Wang. Vehicle Driving Intention Analysis and Recognition Based on Bi-GLSTM Network. Journal of Mechanical Engineering, 2024.

[10] Lin Li, Xiaochuan Zhou, *Chunyan Wang, Wanzhong Zhao, Chen Lv. A Dual-System Driving Framework Integrating Vision-Language Foundation Models for Interpretable Instruction Following. ICEIV, 2025.

[11] Xuyang Li, *Jianwu Fang, Lin Li, Boyuan Chen, Guangliang Li, Jianru Xue. Guided Distillation and Risk Adaptive Evolution for Multi-Robot Navigation. AAAI Conference on Artificial Intelligence, 2026.

[12] Xiaochuan Zhou, Lin Li, Rui Wang, *Chunyan Wang. Linear Time-Varying Model Predictive Control for Emergency Collision Avoidance of Four-Wheel-Steering Vehicles. RAAI, 2025.

[13] Jinqiang Liu, *Wanzhong Zhao, Chunyan Wang, Can Xu, Lin Li, Qingyun Chen. Eco-Friendly On-Ramp Merging Strategy for Connected and Automated Vehicles in Heterogeneous Traffic. IEEE Transactions on Vehicular Technology, 2023.

[14] Qingyun Chen, *Wanzhong Zhao, Lin Li, Chunyan Wang, Feng Chen. ES-DQN: A Learning Method for Vehicle Intelligent Speed Control Strategy Under Uncertain Cut-In Scenario. IEEE Transactions on Vehicular Technology, 2022.

[15] Can Xu, *Wanzhong Zhao, Lin Li, Qingyun Chen. A Nash Q-Learning Based Motion Decision Algorithm Considering Interaction with Traffic Participants. IEEE Transactions on Vehicular Technology, 2020.

[16] Qingyun Chen, *Wanzhong Zhao, Can Xu, Chunyan Wang, Lin Li, Shijuan Dai. An Improved IOHMM-Based Stochastic Driver Lane-Changing Model. IEEE Transactions on Human-Machine Systems, 2021.