Wu Yuankai (伍元凯)
Wu Yuankai (伍元凯)
McGill University, Department of Civil Engineering, Postdoc Researcher, IVADO
Verified email at mail.mcgill.ca - Homepage
Cited by
Cited by
A hybrid deep learning based traffic flow prediction method and its understanding
Y Wu, H Tan, L Qin, B Ran, Z Jiang
Transportation Research Part C: Emerging Technologies 90, 166-180, 2018
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Y Wu, H Tan
arXiv preprint arXiv:1612.01022, 2016
Short-term traffic prediction based on dynamic tensor completion
H Tan, Y Wu, B Shen, PJ Jin, B Ran
IEEE Transactions on Intelligent Transportation Systems 17 (8), 2123-2133, 2016
Deep reinforcement learning of energy management with continuous control strategy and traffic information for a series-parallel plug-in hybrid electric bus
Y Wu, H Tan, J Peng, H Zhang, H He
Applied energy 247, 454-466, 2019
Tensor based missing traffic data completion with spatial–temporal correlation
B Ran, H Tan, Y Wu, PJ Jin
Physica A: Statistical Mechanics and its Applications 446, 54-63, 2016
Energy management of hybrid electric bus based on deep reinforcement learning in continuous state and action space
H Tan, H Zhang, J Peng, Z Jiang, Y Wu
Energy Conversion and Management 195, 548-560, 2019
Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle
R Lian, J Peng, Y Wu, H Tan, H Zhang
Energy 197, 117297, 2020
A comparison of traffic flow prediction methods based on DBN
H Tan, X Xuan, Y Wu, Z Zhong, B Ran
CICTP 2016, 273-283, 2016
Robust missing traffic flow imputation considering nonnegativity and road capacity
H Tan, Y Wu, B Cheng, W Wang, B Ran
Mathematical Problems in Engineering 2014, 2014
Robust tensor decomposition based on Cauchy distribution and its applications
Y Wu, H Tan, Y Li, F Li, H He
Neurocomputing 223, 107-117, 2017
A fused CP factorization method for incomplete tensors
Y Wu, H Tan, Y Li, J Zhang, X Chen
IEEE transactions on neural networks and learning systems 30 (3), 751-764, 2018
A new traffic prediction method based on dynamic tensor completion
H Tan, Y Wu, G Feng, W Wang, B Ran
Procedia-Social and Behavioral Sciences 96, 2431-2442, 2013
Short-term traffic flow prediction based on multilinear analysis and k-nearest neighbor regression
Y Wu, H Tan, J Peter, B Shen, B Ran
CICTP 2015, 556-569, 2015
Inductive graph neural networks for spatiotemporal kriging
Y Wu, D Zhuang, A Labbe, L Sun
arXiv preprint arXiv:2006.07527, 2020
Differential variable speed limits control for freeway recurrent bottlenecks via deep actor-critic algorithm
Y Wu, H Tan, L Qin, B Ran
Transportation research part C: emerging technologies 117, 102649, 2020
Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management
R Lian, H Tan, J Peng, Q Li, Y Wu
IEEE Transactions on Vehicular Technology 69 (8), 8367-8380, 2020
Differential variable speed limits control for freeway recurrent bottlenecks via deep reinforcement learning
Y Wu, H Tan, B Ran
arXiv preprint arXiv:1810.10952, 2018
Hybrid electric vehicle energy management with computer vision and deep reinforcement learning
Y Wang, H Tan, Y Wu, J Peng
IEEE Transactions on Industrial Informatics 17 (6), 3857-3868, 2020
Intelligent road infrastructure system (IRIS): systems and methods
B Ran, Y Cheng, S Li, Z Zhang, F Ding, H Tan, Y Wu, S Dong, L Ye, X Li, ...
US Patent 10,692,365, 2020
Memory, attention and prediction: a deep learning architecture for car-following
Y Wu, H Tan, X Chen, B Ran
Transportmetrica B: Transport Dynamics 7 (1), 1553-1571, 2019
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