| A deep value-network based approach for multi-driver order dispatching X Tang, Z Qin, F Zhang, Z Wang, Z Xu, Y Ma, H Zhu, J Ye Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 180 | 2019 |
| Ride-hailing order dispatching at didi via reinforcement learning Z Qin, X Tang, Y Jiao, F Zhang, Z Xu, H Zhu, J Ye INFORMS Journal on Applied Analytics 50 (5), 272-286, 2020 | 121 | 2020 |
| Real-world ride-hailing vehicle repositioning using deep reinforcement learning Y Jiao, X Tang, ZT Qin, S Li, F Zhang, H Zhu, J Ye Transportation Research Part C: Emerging Technologies 130, 103289, 2021 | 57 | 2021 |
| Value function is all you need: A unified learning framework for ride hailing platforms X Tang, F Zhang, Z Qin, Y Wang, D Shi, B Song, Y Tong, H Zhu, J Ye Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 39 | 2021 |
| Analysis of secrecy performance in fading multiple access wiretap channel with SIC receiver K Jiang, T Jing, Z Li, Y Huo, F Zhang IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 19 | 2017 |
| Outage probability minimization for energy harvesting cognitive radio sensor networks F Zhang, T Jing, Y Huo, K Jiang Sensors 17 (2), 224, 2017 | 13 | 2017 |
| Deep reinforcement learning for ride-sharing dispatching and repositioning ZT Qin, X Tang, Y Jiao, F Zhang, C Wang, QT Li Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 10 | 2019 |
| Multi-objective distributional reinforcement learning for large-scale order dispatching F Zhou, C Lu, X Tang, F Zhang, Z Qin, J Ye, H Zhu 2021 IEEE International Conference on Data Mining (ICDM), 1541-1546, 2021 | 9 | 2021 |
| Joint optimization of spectrum sensing and transmit power in energy harvesting cognitive radio sensor networks F Zhang, T Jing, Y Huo, K Jiang The Computer Journal 62 (2), 215-230, 2019 | 9 | 2019 |
| A deep value-based policy search approach for real-world vehicle repositioning on mobility-on-demand platforms Y Jiao, X Tang, ZT Qin, S Li, F Zhang, H Zhu, J Ye NeurIPS 2020 Deep Reinforcement Learning Workshop, 2020 | 7 | 2020 |
| Throughput optimization for energy harvesting cognitive radio networks with save-then-transmit protocol F Zhang, T Jing, Y Huo, K Jiang The Computer Journal 60 (6), 911-924, 2017 | 7 | 2017 |
| Online auction-based relay selection for cooperative communication in CR networks T Jing, F Zhang, W Cheng, Y Huo, X Cheng EURASIP Journal on Wireless Communications and Networking 2015, 1-12, 2015 | 6 | 2015 |
| Throughput maximization for energy harvesting cognitive radio networks with finite horizon F Zhang, T Jing, Y Huo, K Jiang 2017 9th International Conference on Wireless Communications and Signal …, 2017 | 5 | 2017 |
| Joint spectrum access and transmission power management for energy harvesting cognitive radio sensor networks F Zhang, T Jing, Y Huo, K Jiang International Journal of Sensor Networks 27 (2), 103-116, 2018 | 4 | 2018 |
| Simulation framework for real time vehicle dispatching algorithms evaluation F Zhang, X Tang, Z Qin, H Zhu US Patent App. 17/337,127, 2022 | 1 | 2022 |
| Systems and methods for order dispatching and vehicle repositioning X Tang, F Zhang, Z Qin US Patent 11,967,239, 2024 | | 2024 |
| Hierarchical Coarse-Coded Spatiotemporal Embedding For Value Function Evaluation In Online Order Dispatching X Tang, Z Qin, F Zhang, J Ye US Patent App. 17/618,861, 2022 | | 2022 |
| Multi-objective distributional reinforcement learning for large-scale order dispatching F Zhou, X Tang, Z Qin, F Zhang, ZHU Hongtu US Patent App. 17/059,247, 2022 | | 2022 |
Xiaocheng Tang (唐小程)AI Research Scientist @ Meta GenAI在 fb.com 的电子邮件经过验证
