| 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, 2022 | 90 | 2022 |
| 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 |
| 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 | 46 | 2021 |
| 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, 2022 | 41 | 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, 2022 | 36 | 2022 |
| 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 | 28 | 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, 2023 | 23 | 2023 |
| 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 & Electrical Engineering, 2022 | 23 | 2022 |
| 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 | 22 | 2023 |
| 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, 2023 | 19 | 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 15 (7), 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 |
| 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 | 15 | 2023 |
| 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 | 15 | 2021 |
| Optimization of Spatial-temporal Graph: A Taxi Demand Forecasting Model Based on Spatial-Temporal Tree J Li, Z Lv, Z Ma, X Wang, Z Xu Information Fusion, 102178, 2023 | 12 | 2023 |
| A Fast Spatial-temporal Information Compression Algorithm for Online Real-time Forecasting of Traffic Flow with Complex Nonlinear Patterns Z Xu, Z Lv, B Chu, J Li Chaos, Solitons & Fractals, 2024 | 11 | 2024 |
| Deep spatial-temporal travel time prediction model based on trajectory feature Z Sheng, Z Lv, J Li, Z Xu Computers & Electrical Engineering 110, 1-12, 2023 | 10 | 2023 |
| Will the order be canceled? order cancellation probability prediction based on deep residual model H Sun, Z Lv, J Li, Z Xu, Z Sheng Transportation Research Record 2677 (6), 142-160, 2023 | 9 | 2023 |
| Prediction of Cancellation Probability of Online Car Hailing Order Based on Multi-source Heterogeneous Data Fusion H Sun, Z Lv, J Li, Z Xu, Z Sheng, Z Ma International Conference on Wireless Algorithms, Systems, and Applications, 2022 | 8 | 2022 |
Jianbo LiProfessor, Qingdao UniversityПідтверджена електронна адреса в qdu.edu.cn