Selected Publications
All selected papers are listed below in reverse chronological order in which they appeared online. You can also find more about my research on Google Scholar profile (3000+ citations in total).
2024
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Long-Term Airport Network Performance Forecasting With Linear Diffusion Graph Networks
IEEE Transactions on Intelligent Transportation Systems.
Yuankai Wu, Jing Yang, Xiaoxu Chen, Yi Lin, Hongyu Yang.
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MSGnet: Learning multi-scale inter-series correlations for multivariate time series forecasting
[Preprint][Python code]
Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 10. 2024.
Cai Wanlin, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, and Yuankai Wu*
2023
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Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction
IEEE Transactions on Knowledge and Data Engineering.
Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu
[Preprint][Data & Python code]
2021
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Deep Learning‐Based Super‐Resolution Climate Simulator‐Emulator Framework for Urban Heat Studies
[Data]
Geophysical Research Letters, 2021, 48(19), e2021GL094737.
Yuankai Wu, Bernardo Teufel, Laxmi Sushama, Stephane Belair, Lijun Sun.
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Inductive graph neural networks for spatiotemporal kriging
Proceedings of the AAAI Conference on Artificial Intelligence, 2021, 35 (5), 4478-4485.
Yuankai Wu, Dingyi Zhuang, Aurelie Labbe, and Lijun Sun.
[Preprint][Data & Python code]
2020
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Understanding and modeling urban mobility dynamics via disentangled representation learning
IEEE Transactions on Intelligent Transportation Systems, 2020, Early Access.
Hailong Zhang, Yuankai Wu*, Huachun Tan, Hanxuan Dong, Fan Ding, Bin Ran
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Hybrid electric vehicle energy management with computer vision and deep reinforcement learning
IEEE Transactions on Industrial Informatics, 2020, Early Access.
Yong Wang, Huachun Tan, Yuankai Wu*, Jiankun Peng
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Differential variable speed limits control for freeway recurrent bottlenecks via deep actor-critic algorithm
Transportation Research Part C: Emerging Technologies, 2020, 117:102649.
Yuankai Wu, Huachun Tan, Lingqiao Qin, Bin Ran
[Python code] -
Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management
IEEE Transactions on Vehicular Technology, 2020, 69(6), 8367 - 8380.
Renzong Lian, Huachun Tan, Jiankun Peng, Qin Li, Yuankai Wu*
[Python code]
2019
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Deep reinforcement learning of energy management with continuous control strategy and traffic information for a series-parallel plug-in hybrid electric bus
Applied Energy, 2019, 247: 454-466.
Yuankai Wu, Huachun Tan, Jiankun Peng, Hailong Zhang, Hongwen He
2018
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A fused CP factorization method for incomplete tensors
IEEE Transactions on Neural Networks and Learning Systems, 2018, 30: 751-764.
Yuankai Wu, Huachun Tan, Yong Li, Jian Zhang, Xiaoxuan Chen
[Matlab code] -
A hybrid deep learning based traffic flow prediction method and its understanding
Transportation Research Part C: Emerging Technologies, 2018, 90: 166-180.
Yuankai Wu, Huachun Tan, Lingqiao Qin, Bin Ran, Zhuxi Jiang