• Autonomous driving,
• Robot autonomous navigation
• ​Multi-sensor fusion-based navigation and localization

• 2014.09 - 2019.07 Tsinghua University, Ph.D. (Electrical Engineering)
• 2010.09 - 2014.07 Tsinghua University, B.Eng. (Electrical Engineering)

   

2021.09 - Present, Institute of Computing Technology, CAS, Associate Professor

2019.07 - 2021.09, Institute of Computing Technology, CAS, Assistant Professor

Main Journal Publications (Last 5 Years): 

[1] Liangshu Qian, Wei Li*, Yu Hu*, Neural LiDAR Odometry With Feature Association and Reuse for Unstructured Environments, Journal of Field Robotics, 2025.

[2] Andong Yang; Wei Li*; Yu Hu*, Speed Planning Based on Terrain-Aware Constraint Reinforcement Learning in Rugged Environments, IEEE  Robotics and Automation Letters, 2024.

[3] Yifan Gao; Wei Li*; Yu Hu*, Trajectory Planning for Autonomous Driving Featuring Time-Varying Road Curvature and Adhesion Constraints[J]. IEEE Transactions on Intelligent Transportation Systems, 2024.

Main Conference Publications (Last 5 Years)：

[1] Xuebin Meng, Wei Li*, Yu Hu, Yinhe Han, CA2Point: Learning Keypoint Detection and Description with Context Aggregation and Cross Augmentation, 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2025. 

[2] Aochun Xu, Andong Yang,  Wei Li*, Yu Hu*, Vibration-Aware Trajectory Optimization for Mobile Robots in Wild Environments via Physics-Informed Neural Network, 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2025.

[3] Guodong Han, Wei Li*, Yu Hu*, Adaptive Sliding Window Optimization for Multi-Modal LiDAR Inertial Odometry and Mapping, 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2025.

[4] Haoming Xu, Yiyang Xiao, Wei Li*, Yu Hu, Generating Synthetic Deviation Maps for Prior-Enhanced Vectorized HD Map Construction, 2025 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2025.

[5 ]Andong Yang; Wei Li*; Yu Hu*, F3DMP: Foresighted 3D Motion Planning of Mobile Robots in Wild Environments, 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024.

[6] Andong Yang; Wei Li*; Yu Hu*, SCOML: Trajectory Planning Based on Self-Correcting Meta-Reinforcement Learning in Hybrid Terrain for Mobile Robot, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024.

[7] Haoyu Xi; Wei Li*; Fangzhou Zhao; Liang Chen; Yu Hu*, A Safe and Efficient Timed-Elastic-Band Planner for Unstructured Environments, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024.

[8] Wensong Chen, Wei Li*, Andong Yang, Yu Hu*, Active Visual SLAM Based on Hierarchical Reinforcement Learning, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023:7155-7162.

[9] Cheng Ye , Wei Li*, Yu Hu*,  A Tightly-Coupled GNSS RTK/INS Positioning Algorithm Based on Adaptive Lag Smoother. The 2023 IEEE Intelligent Vehicles Symposium (IV 2023). 2023

[10] Andong Yang, Wei Li*, Yu Hu*, SMS-MPC: Adversarial Learning-based Simultaneous Prediction Control with Single Model for Mobile Robots, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. 

[11] Jingyu Niu, Yu Hu*, Wei Li, Guangyan Huang, Yinhe Han, Xiaowei Li, Closing the Dynamics Gap via Adversarial and Reinforcement Learning for High-Speed Racing, in IEEE International Joint Conference on Neural Networks (IJCNN), oral (Candidate of Best Paper Award), 2022.

[12] Wei Li, Yu Hu, Yinhe Han, Xiaowei Li, KFS-LIO: Key-Feature Selection for Lightweight Lidar Inertial Odometry, 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021: 5042-5048.