| 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 | 3559 | 2015 |
| Traffic signal timing via deep reinforcement learning L Li, Y Lv, FY Wang IEEE/CAA Journal of Automatica Sinica 3 (3), 247-254, 2016 | 640 | 2016 |
| Travel time prediction with LSTM neural network Y Duan, LV Yisheng, FY Wang 2016 IEEE 19th international conference on intelligent transportation …, 2016 | 422 | 2016 |
| 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 | 345 | 2016 |
| 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 | 313 | 2019 |
| Autonomous vehicles testing methods review WL Huang, K Wang, Y Lv, FH Zhu 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 260 | 2016 |
| SCF-Net: Learning spatial contextual features for large-scale point cloud segmentation S Fan, Q Dong, F Zhu, Y Lv, P Ye, FY Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 238 | 2021 |
| Dynamic and multi-faceted spatio-temporal deep learning for traffic speed forecasting L Han, B Du, L Sun, Y Fu, Y Lv, H Xiong Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 213 | 2021 |
| 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 | 190 | 2018 |
| 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 | 189 | 2017 |
| 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 | 173 | 2016 |
| 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 | 153 | 2019 |
| 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 | 145 | 2019 |
| 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 | 120 | 2017 |
| A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction* Z Li, G Xiong, Y Chen, Y Lv, B Hu, F Zhu, FY Wang 2019 IEEE intelligent transportation systems conference (ITSC), 1929-1933, 2019 | 118 | 2019 |
| 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 | 106 | 2009 |
| 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 | 102 | 2018 |
| 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 | 99 | 2014 |
| 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 | 98 | 2016 |
| A multi-stream feature fusion approach for traffic prediction Z Li, G Xiong, Y Tian, Y Lv, Y Chen, P Hui, X Su IEEE transactions on intelligent transportation systems 23 (2), 1456-1466, 2020 | 87 | 2020 |
Kunfeng Wang, ProfessorCollege of Information Science and Technology, Beijing University of Chemical Technology
