| Long-term urban traffic speed prediction with deep learning on graphs JQ James, C Markos, S Zhang IEEE Transactions on Intelligent Transportation Systems 23 (7), 7359-7370, 2021 | 50 | 2021 |
| Spatial-temporal traffic data imputation via graph attention convolutional network Y Ye, S Zhang, JJQ Yu International Conference on Artificial Neural Networks, 241-252, 2021 | 39 | 2021 |
| Joint optimal power flow routing and vehicle-to-grid scheduling: Theory and algorithms S Zhang, KC Leung IEEE Transactions on Intelligent Transportation Systems 23 (1), 499-512, 2020 | 36 | 2020 |
| Electric vehicle dynamic wireless charging system: Optimal placement and vehicle-to-grid scheduling S Zhang, JQ James IEEE Internet of Things Journal 9 (8), 6047-6057, 2021 | 35 | 2021 |
| Collision avoidance predictive motion planning based on integrated perception and V2V communication S Zhang, S Wang, S Yu, JQ James, M Wen IEEE Transactions on Intelligent Transportation Systems 23 (7), 9640-9653, 2022 | 28 | 2022 |
| Autonomous vehicle intelligent system: Joint ride-sharing and parcel delivery strategy S Zhang, C Markos, JQ James IEEE Transactions on Intelligent Transportation Systems 23 (10), 18466-18477, 2022 | 24 | 2022 |
| Transfer learning in traffic prediction with graph neural networks Y Huang, X Song, S Zhang, JQ James 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 24 | 2021 |
| Long-term origin-destination demand prediction with graph deep learning X Zou, S Zhang, C Zhang, JQ James, E Chung IEEE Transactions on Big Data 8 (6), 1481-1495, 2021 | 19 | 2021 |
| Bayesian deep learning for dynamic power system state prediction considering renewable energy uncertainty S Zhang, JQ James Journal of Modern Power Systems and Clean Energy 10 (4), 913-922, 2021 | 17 | 2021 |
| Efficient rate-splitting multiple access for the Internet of Vehicles: Federated edge learning and latency minimization S Zhang, S Zhang, W Yuan, Y Li, L Hanzo IEEE Journal on Selected Areas in Communications 41 (5), 1468-1483, 2023 | 14 | 2023 |
| Traffic prediction with missing data: A multi-task learning approach A Wang, Y Ye, X Song, S Zhang, JQ James IEEE Transactions on Intelligent Transportation Systems 24 (4), 4189-4202, 2023 | 13 | 2023 |
| A smart cross-system framework for joint allocation and scheduling with vehicle-to-grid regulation service S Zhang, KC Leung IEEE Transactions on Vehicular Technology 71 (6), 6019-6031, 2022 | 11 | 2022 |
| Reconstruction of missing trajectory data: a deep learning approach Z Wang, S Zhang, JQ James 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 10 | 2020 |
| Graph-based traffic forecasting via communication-efficient federated learning C Zhang, S Zhang, S Yu, JQ James 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2041-2046, 2022 | 9 | 2022 |
| Joint optimal power flow routing and decentralized scheduling with vehicle-to-grid regulation service S Zhang, KC Leung 2018 IEEE International Conference on Communications, Control, and Computing …, 2018 | 9 | 2018 |
| Origin-destination matrix prediction via hexagon-based generated graph Y Yang, S Zhang, C Zhang, JQ James 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 8 | 2021 |
| Difftraj: Generating gps trajectory with diffusion probabilistic model Y Zhu, Y Ye, S Zhang, X Zhao, J Yu Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Rate-Splitting Multiple Access-Based Satellite–Vehicular Communication System: A Noncooperative Game Theoretical Approach S Zhang, S Zhang, W Yuan, TQS Quek IEEE Open Journal of the Communications Society 4, 430-441, 2023 | 6 | 2023 |
| Attention-driven recurrent imputation for traffic speed S Zhang, C Zhang, S Zhang, JQ James IEEE Open Journal of Intelligent Transportation Systems 3, 723-737, 2022 | 6 | 2022 |
| Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty Z Li, S Wang, S Zhang, M Wen, K Ye, YC Wu, DWK Ng IEEE Transactions on Vehicular Technology, 2023 | 5 | 2023 |
James Jianqiao Yu 余剑峤University of YorkVerified email at york.ac.uk
