| 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, 2014 | 3715 | 2014 |
| Generative adversarial networks: introduction and outlook K Wang, C Gou, Y Duan, Y Lin, X Zheng, FY Wang IEEE/CAA Journal of Automatica Sinica 4 (4), 588-598, 2017 | 794 | 2017 |
| Travel time prediction with LSTM neural network Y Duan, LV Yisheng, FY Wang 2016 IEEE 19th international conference on intelligent transportation …, 2016 | 447 | 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 | 359 | 2016 |
| Do RNN and LSTM have long memory? J Zhao, F Huang, J Lv, Y Duan, Z Qin, G Li, G Tian International Conference on Machine Learning, 11365-11375, 2020 | 201 | 2020 |
| Generative adversarial networks: the state of the art and beyond KF Wang, C Gou, YJ Duan, YL Lin, XH Zheng, FY Wang Acta Automatica Sinica 43 (3), 321-332, 2017 | 196 | 2017 |
| 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 | 123 | 2017 |
| 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 | 105 | 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 |
| Performance evaluation of the deep learning approach for traffic flow prediction at different times Y Duan, Y Lv, FY Wang 2016 IEEE International Conference on Service Operations and Logistics, and …, 2016 | 41 | 2016 |
| Managing emergency traffic evacuation with a partially random destination allocation strategy: A computational-experiment-based optimization approach Y Lv, X Zhang, W Kang, Y Duan IEEE Transactions on Intelligent Transportation Systems 16 (4), 2182-2191, 2015 | 36 | 2015 |
| Synergetic learning of heterogeneous temporal sequences for multi-horizon probabilistic forecasting L Li, J Zhang, J Yan, Y Jin, Y Zhang, Y Duan, G Tian Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8420-8428, 2021 | 17 | 2021 |
| Latent factor model for traffic signal control YF Zhao, H Gao, YS Lv, YJ Duan Proceedings of 2014 IEEE International Conference on Service Operations and …, 2014 | 4 | 2014 |
| Semi-actuated arterial coordination for traffic control: A practical method YL Liu, Y Duan, W Kang Proceedings of 2014 IEEE International Conference on Service Operations and …, 2014 | 1 | 2014 |
| Practical Traffic Signal-Setting Method for Intersections with E-bicycle Mixed-Traffic Flows YL Liu, Y Lv, Y Duan Transportation Research Board 95th Annual MeetingTransportation Research Board, 2016 | | 2016 |
| On the Expressiveness, Predictability and Interpretability of Neural Temporal Point Processes L Shi, F Ding, J Yan, Y Duan, G Tian | | |