| 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 | 79 | 2021 |
| A novel perspective on travel demand prediction considering natural environmental and socioeconomic factors Z Xu, Z Lv, J Li, H Sun, Z Sheng IEEE Intelligent Transportation Systems Magazine 15 (1), 136-159, 2022 | 76 | 2022 |
| 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 | 54 | 2023 |
| Blind travel prediction based on obstacle avoidance in indoor scene Z Lv, J Li, H Li, Z Xu, Y Wang Wireless Communications and Mobile Computing 2021 (1), 5536386, 2021 | 43 | 2021 |
| A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic Y Wang, Z Lv, Z Sheng, H Sun, A Zhao Advanced Engineering Informatics 53, 101678, 2022 | 37 | 2022 |
| A novel approach for predicting water demand with complex patterns based on ensemble learning Z Xu, Z Lv, J Li, A Shi Water Resources Management 36 (11), 4293-4312, 2022 | 29 | 2022 |
| Traffic flow forecasting in the covid-19: A deep spatial-temporal model based on discrete wavelet transformation H Li, Z Lv, J Li, Z Xu, Y Wang, H Sun, Z Sheng ACM Transactions on Knowledge Discovery from Data 17 (5), 1-28, 2023 | 28 | 2023 |
| A graph spatial-temporal model for predicting population density of key areas Z Xu, J Li, Z Lv, Y Wang, L Fu, X Wang Computers & Electrical Engineering 93, 107235, 2021 | 23 | 2021 |
| Taxi travel time prediction based on fusion of traffic condition features Z Sheng, Z Lv, J Li, Z Xu, H Sun, X Liu, R Ye Computers and Electrical Engineering 105, 108530, 2023 | 17 | 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 & Information Systems 15 (7), 2021 | 17 | 2021 |
| A new approach to COVID-19 data mining: A deep spatial–temporal prediction model based on tree structure for traffic revitalization index Z Lv, X Wang, Z Cheng, J Li, H Li, Z Xu Data & Knowledge Engineering 146, 102193, 2023 | 16 | 2023 |
| 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 | 15 | 2022 |
| Parallel computing of spatio-temporal model based on deep reinforcement learning Z Lv, J Li, Z Xu, Y Wang, H Li International Conference on Wireless Algorithms, Systems, and Applications …, 2021 | 13 | 2021 |
| GASTO: A fast adaptive graph learning framework for edge computing empowered task offloading Y Li, J Li, Z Lv, H Li, Y Wang, Z Xu IEEE Transactions on Network and Service Management 20 (2), 932-944, 2023 | 11 | 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 | 11 | 2020 |
| Fast autoregressive tensor decomposition for online real-time traffic flow prediction Z Xu, Z Lv, B Chu, J Li Knowledge-Based Systems 282, 111125, 2023 | 10 | 2023 |
| 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 | 10 | 2023 |
| Estimation of short-term online taxi travel time based on neural network L Fu, J Li, Z Lv, Y Li, Q Lin International Conference on Wireless Algorithms, Systems, and Applications …, 2020 | 9 | 2020 |
| TS-STNN: Spatial-temporal neural network based on tree structure for traffic flow prediction Y Lv, Z Lv, Z Cheng, Z Zhu, TH Rashidi Transportation research part E: logistics and transportation review 177, 103251, 2023 | 8 | 2023 |
| TreeCN: time series prediction with the tree convolutional network for traffic prediction Z Lv, Z Cheng, J Li, Z Xu, Z Yang IEEE Transactions on Intelligent Transportation Systems, 2023 | 7 | 2023 |
Jianbo LiProfessor, Qingdao University在 qdu.edu.cn 的电子邮件经过验证
