Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index Z Lv, J Li, C Dong, H Li, Z Xu Data & Knowledge Engineering 135, 101912, 2021 | 82 | 2021 |
DeepSTF: A deep spatial–temporal forecast model of taxi flow Z Lv, J Li, C Dong, Z Xu The Computer Journal 66 (3), 565-580, 2023 | 57 | 2023 |
DeepPTP: A deep pedestrian trajectory prediction model for traffic intersection Z Lv, J Li, C Dong, Y Wang, H Li, Z Xu KSII Transactions on Internet and Information Systems (TIIS) 15 (7), 2321-2338, 2021 | 18 | 2021 |
A classification method for urban functional regions based on the transfer rate of empty cars Z Xu, J Li, Z Lv, C Dong, L Fu IET Intelligent Transport Systems 16 (2), 133-147, 2022 | 17 | 2022 |
Multi-attribute graph convolution network for regional traffic flow prediction Y Wang, A Zhao, J Li, Z Lv, C Dong, H Li Neural Processing Letters 55 (4), 4183-4209, 2023 | 16 | 2023 |
A deep spatial-temporal network for vehicle trajectory prediction Z Lv, J Li, C Dong, W Zhao International Conference on Wireless Algorithms, Systems, and Applications …, 2020 | 12 | 2020 |
Traffic Flow Prediction Model Based on Spatio-Temporal Dilated Graph Convolution. X Sun, J Li, Z Lv, C Dong KSII Transactions on Internet & Information Systems 14 (9), 2020 | 7 | 2020 |
A Forecasting Method of Dual Traffic Condition Indicators Based on Ensemble Learning C Dong, Z Lv, J Li 2021 IEEE 27th International Conference on Parallel and Distributed Systems …, 2021 | 1 | 2021 |
Spatial and Dual-channel Temporal Convolution Networks: A Novel Method for Speed Forecasting C Dong, J Li, Z Lv, W Zhao Proceedings of the ACM Turing Award Celebration Conference-China, 82-86, 2021 | 1 | 2021 |