Publications

Journal Publications

  1. Tianyu Shi*, Omar Elsamadisy*, Ilia Smironov, Baher Abdulhai. (2024). Safe, Efficient and Comfortable RL-Based Autonomous Driving with Lane-Changing and Analytic Safety Guarantees. IET Intelligent Transport Systems.
  2. Liu, Z., Qian, S., Cao, S., & Tianyu Shi*. (2025). Mitigating age-related bias in large language models: Strategies for responsible artificial intelligence development. INFORMS Journal on Computing.
  3. Miao Zhang, Zhenlong Fang, Tianyi Wang, Tianyu Shi*. CCMA: A Framework for Cascading Cooperative Multi-agent in Autonomous Driving. Expert Systems with Applications.
  4. Li, H., Peng, T., Wang, B., Zhang, R., Gao, B., Qiao, N., ... & Tianyu Shi. (2025). Safedrive Dreamer: Navigating safety–critical scenarios in autonomous driving with world models. Alexandria Engineering Journal, 111, 92-106.
  5. Wang, Q., Tsai, W. T., & Tianyu Shi. (2024). GraphALM: Active Learning for Detecting Money Laundering Transactions on Blockchain Networks. IEEE Network.
  6. Feng, J., Lin, K., Tianyu Shi, et al. (2024). Cooperative Traffic Optimization with Multi-agent Reinforcement Learning. Physica A.
  7. Jiang, K., Tianyu Shi, Lu, S., Mahyuddin, N. (2024). Review on Indoor Environment and HVAC Energy Consumption Prediction. Indoor and Built Environment.
  8. Tianyu Shi, Devailly, F. X., Larocque, D., & Charlin, L. (2024). Improving the generalizability and robustness of large-scale traffic signal control. IEEE Open Journal of Intelligent Transportation Systems.
  9. Li, J., Lin, S., Tianyu Shi, et al. (2023). A Fully Data-Driven Approach for Traffic Signal Control Using Offline RL. IEEE Transactions on Intelligent Transportation Systems (under review).
  10. Chu, C. H., Donato-Wodger, S., Khan, S., Tianyu Shi, et al. (2023). Strategies to Mitigate Age-Related Bias in Machine Learning. JMIR Aging.
  11. Tianyu Shi*, Omar Elsamadisy*, Ilia Smironov, Baher Abdulhai. (2023). Safe, Efficient and Comfortable RL-Based Car-Following. Transportation Research Record.
  12. Feng, J., Tianyu Shi, Wu, Y., Xie, X., He, H., Tan, H. (2023). Multi-Lane Differential Variable Speed Limit Control. Sensors.
  13. Chu, C. H., Donato-Wodger, S., Khan, S., Leslie, K., Lyn, A., Tianyu Shi, et al. (2023). Age-related Bias and AI: A Scoping Review. Nature HSS Communications.
  14. Ye Ma*, Tianyu Shi*, Wei Zhang, Yu Hao, Junbing Huang, Yinan Lin. (2019). A Comprehensive Evaluation of NEV Development in China, Japan, the US, and Germany. Journal of Cleaner Production, 214:389-402.

Conference Proceedings

  1. Li, Z., He, Y., Li, Y., Wang, J., Tianyu Shi*, Lei, B., ... & Chen, Q. (2025). FALCON: Feedback-Driven Adaptive LSTM Reinforced Coding Optimization. IEEE ICME.
  2. Wang, Q., Tianyu Shi. (2025). Catch Me If You Can: A Multi-Agent Fraud Detection Framework. IEEE ICDE.
  3. Hao Chen, Tianyu Shi*, et al. (2025). VisualEDU: Benchmark for Coding & Visual Comprehension. EMNLP Findings.
  4. Bo Gao, Wang, J., Song, X., He, Y., Xing, F., Tianyu Shi*. (2025). Free-Mask: Segmentation Diffusion Model for Image Editing. ACM MM.
  5. Yim, Y., Chan, C., Tianyu Shi, et al. (2024). Evaluating LLM Agents via Theory of Mind. IEEE/WIC WI-IAT.
  6. Chen Yang, Tianyu Shi*. (2025). WcDT: World-centric Diffusion Transformer for Traffic Scene Generation. IEEE ICRA.
  7. Junqiao Wang, Zhang, Z., Tianyu Shi*, et al. (2025). RL in Code Optimization and Generation: A Survey. NAACL.
  8. Ruoyu Wang, Li, X., Sun, T., Tianyu Shi. (2025). UniTMGE: Uniform Text-Motion Generation. WACV.
  9. Li, X., Zu, S., Tianyu Shi. (2025). Multi-Modal LLM with RAG Strategies for Soccer Commentary. WACV.
  10. Sun, T., Li, X., Tianyu Shi*. (2024). MotionDiT: Controllable Motion Generation with Diffusion LMs. ECCV Workshop.
  11. Meiling Tao, Liang, X., Tianyu Shi*, et al. (2025). CMAT: Multi-Agent Collaboration Tuning. ICLR Workshop (oral).
  12. Meiling Tao, Liang, X., Tianyu Shi*, et al. (2024). RoleCraft-GLM: Personalized Role-Playing in LLMs. EACL Workshop.
  13. Wang, Y., Wang, B., Tianyu Shi*, et al. (2023). Sample-efficient Antibody Design. NeurIPS AI for Science.
  14. Kaize Lin, Li, P., Jia, Z., Tianyu Shi, Khamis, A. (2023). Cooperative Variable Speed Limit Control. IEEE Smart Mobility.
  15. Tianyu Shi, Ai, Y., Abdulhai, B. (2022). Bilateral Deep RL for Car Following. IEEE ITSC.
  16. Chen Xi, Tianyu Shi*, Zhao, Q., et al. (2022). WILD-SCAV: RL Benchmarking in 3D Games. IEEE CoG.
  17. Zhiyuan Yao, Tianyu Shi, Li, S., et al. (2022). Large-Scale Action Spaces in Card Games. IEEE CoG (oral).
  18. Tianyu Shi*, Chen, D., Chen, K., Li, Z. (2021). Offline RL for Autonomous Driving. NeurIPS Workshop.
  19. Tianyu Shi*, Wang, J.*, Wu, Y., Miranda-Moreno, L., Sun, L. (2021). Multi-agent Graph RL for CAVs. ICML Workshop.
  20. Tianyu Shi*, Xi, C.*, Wu, Y., Sun, L. (2020). Efficient Motion Planning for Lane Change. IEEE ITSC.
  21. Tianyu Shi*, Wang, P.*, Chan, C.-Y. (2019). Feedforward Compensator Optimization. IEEE IV.
  22. Tianyu Shi*, Wang, P.*, Chan, C.-Y. (2019). Deep RL for Lane Change Decision & Control. IEEE ITSC.
  23. Yang Li, Wang, J., Tianyu Shi, et al. (2019). Pedestrian Trajectory Prediction. IEEE ITSC.