| A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors Z Xu, Z Lv, J Li, H Sun, Z Sheng | 80 | 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 | 79 | 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 | 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 |
| 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 (TKDD), 2022 | 29 | 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, 2022 | 29 | 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 | 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, 2022 | 17 | 2022 |
| 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, 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 The 16th International Conference on Wireless Algorithms, Systems, and …, 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, 2023 | 11 | 2023 |
| 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 |
| 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 |
| 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 The 17th International Conference on Wireless Algorithms, Systems, and …, 2022 | 7 | 2022 |
| DDCAttNet: Road Segmentation Network for Remote Sensing Images G Yuan, J Li, Z Lv, Y Li, Z Xu The 16th International Conference on Wireless Algorithms, Systems, and …, 2021 | 7 | 2021 |
| 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 | 6 | 2023 |
| MFAGCN: Multi-Feature Based Attention Graph Convolutional Network for Traffic Prediction H Li, J Li, Z Lv, Z Xu The 16th International Conference on Wireless Algorithms, Systems, and …, 2021 | 6 | 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 | 5 | 2023 |
Zhiqiang LvQingdao University在 qdu.edu.cn 的电子邮件经过验证
Zhiqiang LvQingdao University在 qdu.edu.cn 的电子邮件经过验证
Jianbo LiProfessor, Qingdao University在 qdu.edu.cn 的电子邮件经过验证