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Lv Yisheng
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Cited by
Year
Traffic flow prediction with big data: a deep learning approach
Y Lv, Y Duan, W Kang, Z Li, FY Wang
IEEE Transactions on Intelligent Transportation Systems 16 (2), 865-873, 2015
26932015
Traffic signal timing via deep reinforcement learning
L Li, Y Lv, FY Wang
IEEE/CAA Journal of Automatica Sinica 3 (3), 247-254, 2016
4442016
Travel time prediction with LSTM neural network
Y Duan, LV Yisheng, FY Wang
2016 IEEE 19th international conference on intelligent transportation …, 2016
2992016
An efficient realization of deep learning for traffic data imputation
Y Duan, Y Lv, YL Liu, FY Wang
Transportation research part C: emerging technologies 72, 168-181, 2016
2252016
Autonomous vehicles testing methods review
WL Huang, K Wang, Y Lv, FH Zhu
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
1462016
Short-term traffic flow prediction with LSTM recurrent neural network
D Kang, Y Lv, Y Chen
2017 IEEE 20th international conference on intelligent transportation …, 2017
1302017
Long short-term memory model for traffic congestion prediction with online open data
Y Chen, Y Lv, Z Li, FY Wang
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
1302016
Cyber-physical-social systems: The state of the art and perspectives
JJ Zhang, FY Wang, X Wang, G Xiong, F Zhu, Y Lv, J Hou, S Han, Y Yuan, ...
IEEE Transactions on Computational Social Systems 5 (3), 829-840, 2018
1102018
Social media based transportation research: The state of the work and the networking
Y Lv, Y Chen, X Zhang, Y Duan, NL Li
IEEE/CAA Journal of Automatica Sinica 4 (1), 19-26, 2017
1062017
Parallel transportation systems: Toward IoT-enabled smart urban traffic control and management
F Zhu, Y Lv, Y Chen, X Wang, G Xiong, FY Wang
IEEE Transactions on Intelligent Transportation Systems 21 (10), 4063-4071, 2019
952019
Data driven parallel prediction of building energy consumption using generative adversarial nets
C Tian, C Li, G Zhang, Y Lv
Energy and Buildings 186, 230-243, 2019
932019
Deep learning for control: the state of the art and prospects
YJ Duan, YS Lv, J Zhang, XL Zhao, FY Wang
Acta Automatica Sinica 42 (5), 643-654, 2016
792016
A deep learning based approach for traffic data imputation
Y Duan, Y Lv, W Kang, Y Zhao
17th International IEEE conference on intelligent transportation systems …, 2014
752014
Traffic flow imputation using parallel data and generative adversarial networks
Y Chen, Y Lv, FY Wang
IEEE Transactions on Intelligent Transportation Systems 21 (4), 1624-1630, 2019
702019
Real-time highway traffic accident prediction based on the k-nearest neighbor method
Y Lv, S Tang, H Zhao
2009 international conference on measuring technology and mechatronics …, 2009
702009
Detecting traffic information from social media texts with deep learning approaches
Y Chen, Y Lv, X Wang, L Li, FY Wang
IEEE Transactions on Intelligent Transportation Systems 20 (8), 3049-3058, 2018
652018
Deep belief network based hybrid model for building energy consumption prediction
C Li, Z Ding, J Yi, Y Lv, G Zhang
Energies 11 (1), 242, 2018
642018
A game-engine-based platform for modeling and computing artificial transportation systems
Q Miao, F Zhu, Y Lv, C Cheng, C Chen, X Qiu
IEEE Transactions on Intelligent Transportation Systems 12 (2), 343-353, 2011
552011
Generative adversarial networks for parallel transportation systems
Y Lv, Y Chen, L Li, FY Wang
IEEE Intelligent Transportation Systems Magazine 10 (3), 4-10, 2018
542018
深度学习在控制领域的研究现状与展望
段艳杰, 吕宜生, 张杰, 赵学亮, 王飞跃
自动化学报 42 (5), 643-654, 2016
452016
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