Publications
You can also find more about my research on Google Scholar profile and ResearchGate profile.
(* indicate equal contribution)
Journal Publications
Tianyu Shi *, Jiawei Wang *, Yuankai Wu, Luis Miranda-Moreno, Lijun Sun. Efficient Connected and Automated Driving System with Multi-agent Graph Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems(under review).
Ma, Y. *, Shi, T. *, Zhang, W. *, Hao, Y., Huang, J., & Lin, Y. (2019). Comprehensive policy evaluation of NEV development in China, Japan, the United States, and Germany based on the AHP-EW model. Journal of cleaner production, 214, 389-402. (Paper)
Conference Publications
Tianyu Shi *, Jiawei Wang *, Yuankai Wu, Luis Miranda-Moreno, Lijun Sun. Efficient Connected and Automated Driving System with Multi-agent Graph Reinforcement Learning. 2020 Workshop on AI for Autonomous Driving, International Conference on Machine Learning (ICML)(paper).
Xi, C. *, Shi, T. *, Wu, Y., & Sun, L. Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization. 2020 IEEE Intelligent Transportation Systems Conference (ITSC), Rhodes, Greece, 2020.
Shi, T., Wang, P., Chan, C. Y., & Zou, C. (2019). A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle. 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, 2019.(paper)
T. Shi, P. Wang, X. Cheng, C. Chan and D. Huang, “Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning,” 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019. (paper)
Y. Li, J. Q. Wang, X. Y. Lu, T. Y. Shi, Q. Xu and K. Q. Li, “Pedestrian Trajectory Prediction at Un-Signalized Intersection Using Probabilistic Reasoning and Sequence Learning,” 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019.