| Traffic speed prediction for urban transportation network: A path based deep learning approach J Wang, R Chen, Z He Transportation Research Part C: Emerging Technologies 100, 372-385, 2019 | 206 | 2019 |
| Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model X Chen, Z He, Y Chen, Y Lu, J Wang Transportation Research Part C: Emerging Technologies 104, 66-77, 2019 | 155 | 2019 |
| Spatial-temporal traffic speed patterns discovery and incomplete data recovery via SVD-combined tensor decomposition X Chen, Z He, J Wang Transportation research part C: emerging technologies 86, 59-77, 2018 | 149 | 2018 |
| Dynamic holding control to avoid bus bunching: A multi-agent deep reinforcement learning framework J Wang, L Sun Transportation Research Part C: Emerging Technologies 116, 102661, 2020 | 114 | 2020 |
| Efficient connected and automated driving system with multi-agent graph reinforcement learning T Shi, J Wang, Y Wu, L Miranda-Moreno, L Sun arXiv preprint arXiv:2007.02794, 2020 | 17 | 2020 |
| Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning J Wang, L Sun International Joint Conference on Artificial Intelligence (IJCAI), 2021, 2021 | 16 | 2021 |
| A universal framework of spatiotemporal bias block for long-term traffic forecasting F Liu, J Wang, J Tian, D Zhuang, L Miranda-Moreno, L Sun IEEE Transactions on Intelligent Transportation Systems 23 (10), 19064-19075, 2022 | 15 | 2022 |
| Multi-agent graph reinforcement learning for connected automated driving J Wang, T Shi, Y Wu, L Miranda-Moreno, L Sun ICML Workshop on AI for Autonomous Driving (AIAD), 2020, 2020 | 15 | 2020 |
| Large language models as urban residents: An llm agent framework for personal mobility generation J Wang, R Jiang, C Yang, Z Wu, M Onizuka, R Shibasaki, N Koshizuka, ... NeurIPS 2024, 2024 | 13 | 2024 |
| Multi-Objective Multi-Agent Deep Reinforcement Learning to Reduce Bus Bunching for Multiline Services with a Shared Corridor J Wang, L Sun Transportation Research Part C: Emerging Technologies 155 (104309), 2023 | 13 | 2023 |
| Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective Y Gao, F Liu, L Wang, Z Lian, W Wang, S Li, X Wang, X Zeng, R Wang, ... International Conference on Learning Representations (ICLR), 2023, 2023 | 8 | 2023 |
| Robust Dynamic Bus Control: A Distributional Multi-Agent Reinforcement Learning Approach J Wang, L Sun IEEE Transactions on Intelligent Transportation Systems 24 (4), 4075-4088, 2023 | 4 | 2023 |
| Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors Haiming Cai, Jiawei Wang, Binliang Li, Jian Wang, Lijun Sun Transportation Research Part D: Transport and Environment 128 (104079), 2024 | 3 | 2024 |
| A Hierarchical Framework for Passenger Inflow Control in Metro System With Reinforcement Learning J Zhong, Z He, J Wang, J Xie IEEE Transactions on Intelligent Transportation Systems, 2023 | 2 | 2023 |
| MERCI: Multi-agent reinforcement learning for enhancing on-demand Electric taxi operation in terms of Rebalancing, Charging, and Informing Orders J Wang, H Cai, L Sun, B Li, J Wang Computers & Industrial Engineering, 110711, 2024 | | 2024 |
| Multi-agent Deep Reinforcement Learning for Public Transport Vehicle Fleet Control J Wang McGill University, 2023 | | 2023 |
Lijun Sun (孙立君)Associate Professor, William Dawson Scholar, Civil Engineering, McGill UniversityVerified email at mcgill.ca
