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.