Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning T Shi, P Wang, X Cheng, CY Chan 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019 | 101* | 2019 |
Comprehensive policy evaluation of NEV development in China, Japan, the United States, and Germany based on the AHP-EW model Y Ma, T Shi, W Zhang, Y Hao, J Huang, Y Lin Journal of cleaner production 214, 389-402, 2019 | 99 | 2019 |
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement T Shi, D Chen, K Chen, Z Li NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving, 2021 | 24 | 2021 |
Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization C Xi, T Shi, Y Wu, L Sun 2020 IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020 | 16* | 2020 |
Multi-agent Graph Reinforcement Learning for Connected Automated Driving J Wang, T Shi, Y Wu, L Miranda-Moreno, L Sun 2020 International Conference on Machine Learning (ICML), 2020 | 12 | 2020 |
Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning T Shi, J Wang, Y Wu, L Miranda-Moreno, L Sun arXiv preprint arXiv:2007.02794, 2021 | 11 | 2021 |
A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle T Shi, P Wang, CY Chan, C Zou 2019 IEEE Intelligent Vehicles Symposium (IV), 2019 | 11* | 2019 |
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car-following T Shi, Y Ai, O ElSamadisy, B Abdulhai IEEE 25th International Conference on Intelligent Transportation Systems …, 2022 | 7* | 2022 |
Age-related bias and artificial intelligence: a scoping review CH Chu, S Donato-Woodger, SS Khan, R Nyrup, K Leslie, A Lyn, T Shi, ... Humanities and Social Sciences Communications 10 (1), 1-17, 2023 | 6 | 2023 |
Safe, efficient, and comfortable reinforcement-learning-based car-following for AVs with an analytic safety guarantee and dynamic target speed O ElSamadisy, T Shi, I Smirnov, B Abdulhai Transportation research record, 03611981231171899, 2023 | 6 | 2023 |
Improving the generalizability and robustness of large-scale traffic signal control T Shi, FX Devailly, D Larocque, L Charlin IEEE Open Journal of Intelligent Transportation Systems, 2023 | 3 | 2023 |
Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation Z Yao, T Shi, S Li, Y Xie, Y Qin, X Xie, H Lu, Y Zhang 2022 IEEE Conference on Games (CoG), 2022 | 3 | 2022 |
RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models M Tao, X Liang, T Shi, L Yu, Y Xie Proceedings of the 18th Conference of the European Chapter of the …, 2023 | 2 | 2023 |
Pedestrian Trajectory Prediction at Un-Signalized Intersection Using Probabilistic Reasoning and Sequence Learning Yang Li, Jianqiang Wang, Xiao-Yun Lu, Tianyu Shi, Qing Xu, Keqiang Li 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019 | 2 | 2019 |
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy J Feng, T Shi, Y Wu, X Xie, H He, H Tan Sensors 23 (10), 4659, 2023 | 1 | 2023 |
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments X Chen, T Shi, Q Zhao, Y Sun, Y Gao, X Wang 3D FPS games challenge at 2022 IEEE Conference on Games (CoG), 2022 | 1 | 2022 |
In-context Learning for Automated Driving Scenarios Z Zhou, J Zhang, J Zhang, B Wang, T Shi, A Khamis arXiv preprint arXiv:2405.04135, 2024 | | 2024 |
CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models X Liang, M Tao, T Shi, Y Xie arXiv preprint arXiv:2404.01663, 2024 | | 2024 |
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation C Yang, AX Tian, D Chen, T Shi, A Heydarian arXiv preprint arXiv:2404.02082, 2024 | | 2024 |
Strategies to Mitigate Age-Related Bias in Machine Learning: A Scoping Review CH Chu, S Donato-Wodger, S Khan, T Shi, K Leslie, ... JMIR Aging, 2023 | | 2023 |