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Jiawei Wang (王家伟)
Jiawei Wang (王家伟)
Postdoc, The University of Tokyo
Verified email at g.ecc.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
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
2062019
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
1552019
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
1492018
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
1142020
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
172020
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning
J Wang, L Sun
International Joint Conference on Artificial Intelligence (IJCAI), 2021, 2021
162021
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
152022
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
152020
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
132024
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
132023
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
82023
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
42023
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
32024
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
22023
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
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