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Tianyu Shi (时天宇)
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Cited by
Year
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
98*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
982019
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
232021
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
15*2020
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
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
102021
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
102020
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
6*2022
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
52023
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
42023
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
32022
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
22023
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
22023
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
22019
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
12023
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
12022
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
STRATEGIES TO MITIGATE MACHINE LEARNING BIAS AFFECTING OLDER ADULTS: RESULTS FROM A SCOPING REVIEW
C Chu, S Donato-Woodger, S Khan, K Leslie, T Shi, R Nyrup, A Grenier
Innovation in Aging 7 (Suppl 1), 717, 2023
2023
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Articles 1–20