Biography
I received the PhD degree in computer science from the University of Hong Kong, supervised by Prof. Jia Pan and Prof. Wenping Wang. I draw ideas in optimization, control and artificial intelligence to develop algorithms for autonomous driving and intelligent transportation. I currently focus on developing a learning-based traffic model.
Interests
- Artificial Intelligence
- Intelligent Transportation
- Autonomous Driving
Education
-
PhD in Computer Science, 2019-2023
The University of Hong Kong (HKU)
-
BSc in Automation, 2015-2019
Zhejiang University (ZJU)
Recent Publications
(2024).
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation.
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(2023).
TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning.
In Conference on Robot Learning (coRL).
(2023).
CCIL: Context-conditioned imitation learning for urban driving.
In {Robotics:} Science and Systems (RSS).
(2022).
End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps.
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Research
*
Learning a driving model for traffic simulation by imitating from real-world traffic data.
Learning a context-conditioned autonomous driving policy by imitating from human driver’s demonstration.
Predicting an multi-modal trajectory distribution for pedestrians and vehicles based on occupancy grid maps.
Navigating multiple agents to their goals without mutual communication and collisions.