| 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 | 12* | 2019 |
| A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning J Li, S Lin, T Shi, C Tian, Y Mei, J Song, X Zhan, R Li IEEE Transactions on Intelligent Transportation Systems (under review), 2023 | 1 | 2023 |
| A systematic review of multi-output prediction model for indoor environment and heating, ventilation, and air conditioning energy consumption in buildings K Jiang, T Shi, H Yu, N Mahyuddin, S Lu Indoor and Built Environment, 1420326X241258678, 2024 | | 2024 |
| 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 | 10 | 2023 |
| AICoderEval: Improving AI Domain Code Generation of Large Language Models Y Xia, Y Chen, T Shi, J Wang, J Yang arXiv preprint arXiv:2406.04712, 2024 | 1 | 2024 |
| 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 | 10* | 2022 |
| 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 |
| 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 | 108 | 2019 |
| Cooperative traffic optimization with multi-agent reinforcement learning and evolutionary strategy: Bridging the gap between micro and macro traffic control J Feng, K Lin, T Shi, Y Wu, Y Wang, H Zhang, H Tan Physica A: Statistical Mechanics and its Applications, 129734, 2024 | 2 | 2024 |
| Cooperative Variable Speed Limit Control using Multi-agent Reinforcement Learning and Evolution Strategy for Improved Throughput in Mixed Traffic K Lin, Z Jia, P Li, T Shi, A Khamis 2023 IEEE International Conference on Smart Mobility (SM), 2023 | 1 | 2023 |
| DDPM-MoCo: Advancing Industrial Surface Defect Generation and Detection with Generative and Contrastive Learning Y He, X Wang, T Shi ADFM 2024@ IJCAI‘24, 2024 | | 2024 |
| Deep Reinforcement Learning-based Traffic Signal Control J Ruan, J Tang, G Gao, T Shi, A Khamis 2023 IEEE International Conference on Smart Mobility (SM), 21-26, 2023 | 1 | 2023 |
| 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 | 107* | 2019 |
| Efficient Connected and Automated Driving System with Multi-agent graph Reinforcement Learning Tianyu Shi, Jiawei Wang, Yuankai Wu,Luis Miranda-Moreno, Lijun Sun Transportation Research Board (TRB) 100th Annual Meeting, 2021 | | 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 | 18* | 2020 |
| Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan Commentary M Tao, X Liang, Y Tao, T Shi International Joint Conference on Artificial Intelligence (IJCAI'24), 2024 | | 2024 |
| Enhancing Intent Understanding for Ambiguous prompt: A Human-Machine Co-Adaption Strategy Y He, Y Bai, T Shi ICML 2024 Workshop on Models of Human Feedback for AI Alignment, 2024 | | 2024 |
| 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 |
| 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 | 1 | 2024 |
| 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 |
