| Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing H Zhou, K Jiang, X Liu, X Li, VCM Leung IEEE Internet of Things Journal 9 (2), 1517-1530, 2021 | 235 | 2021 |
| Distributed deep multi-agent reinforcement learning for cooperative edge caching in internet-of-vehicles H Zhou, K Jiang, S He, G Min, J Wu IEEE Transactions on Wireless Communications 22 (12), 9595-9609, 2023 | 65 | 2023 |
| Intelligence-empowered mobile edge computing: Framework, issues, implementation, and outlook K Jiang, C Sun, H Zhou, X Li, M Dong, VCM Leung IEEE Network 35 (5), 74-82, 2021 | 48 | 2021 |
| Multi-agent reinforcement learning for cooperative edge caching in internet of vehicles K Jiang, H Zhou, D Zeng, J Wu 2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems …, 2020 | 32 | 2020 |
| A Q-learning based method for energy-efficient computation offloading in mobile edge computing K Jiang, H Zhou, D Li, X Liu, S Xu 2020 29th International Conference on Computer Communications and Networks …, 2020 | 30 | 2020 |
| Mobile edge computing for ultra-reliable and low-latency communications K Jiang, H Zhou, X Chen, H Zhang IEEE Communications Standards Magazine 5 (2), 68-75, 2021 | 21 | 2021 |
| DDPG-based computation offloading and service caching in mobile edge computing L Chen, G Gong, K Jiang, H Zhou, R Chen IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022 | 19 | 2022 |
| A3c-based and dependency-aware computation offloading and service caching in digital twin edge networks L Chen, Q Gu, K Jiang, L Zhao IEEE Access 11, 57564-57573, 2023 | 14 | 2023 |
| Sac-based computation offloading and resource allocation in vehicular edge computing Y Zheng, H Zhou, R Chen, K Jiang, Y Cao IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022 | 10 | 2022 |
| STALB: A spatio-temporal domain autonomous load balancing routing protocol Y Song, K Jiang, Y Cao, R Zhou, C Suthaputchakun, Y Zhuang IEEE Transactions on Network and Service Management 20 (1), 73-87, 2022 | 9 | 2022 |
| Asynchronous federated and reinforcement learning for mobility-aware edge caching in IoVs K Jiang, Y Cao, Y Song, H Zhou, S Wan, X Zhang IEEE Internet of Things Journal, 2024 | 7 | 2024 |
| MP-VRCR: A multi-dimension and priority-based vehicle-road collaborative routing protocol Y Song, Y Cao, K Jiang, Y Li, Y Lai, L Wang IEEE Transactions on Vehicular Technology 72 (8), 10797-10812, 2023 | 7 | 2023 |
| Adaptive dynamic programming for multi-driver order dispatching at large-scale K Jiang, Y Cao, H Zhou, J Wu, Z Zhang, Z Liu IEEE Transactions on Cognitive Communications and Networking, 2023 | 4 | 2023 |
| When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives Z Wang, Y Cao, K Jiang, H Zhou, J Kang, Y Zhuang, D Tian, VCM Leung IEEE Communications Surveys & Tutorials, 2024 | 3 | 2024 |
| 车辆群智感知中激励驱动的车辆选择与调度方法 王振宁，曹越，江恺，林海，周欢， 计算机研究与发展, 2024 | | 2024 |
| Reinforcement Learning for Digital Twin empowered Ride-sharing System Optimization K Jiang, Y Cao, Z Wang, H Zhou, H Zhu, Z Liu, L Xu IEEE Network, 2024 | | 2024 |
| Cost-Aware Federated Learning in Mobile Edge Networks Q Gu, K Jiang, L Zhao, H Zhou, T Jiang Proceedings of the 3rd Workshop on Data Privacy and Federated Learning …, 2024 | | 2024 |
| Poster: Stackelberg Game-based Model Partition and Resource Allocation in Split Federated Learning JX Xiong, H Zhou, K Jiang, L Zhao, VCM Leung Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems …, 2024 | | 2024 |
| Multi-Agent Reinforcement Learning for Cooperative Task Offloading in Internet-of-Vehicles Y Lei, K Jiang, Z Wang, Y Cao, H Lin, L Chen 2024 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2024 | | 2024 |
| Deep reinforcement learning for energy-efficient edge caching in mobile edge networks M Deng, Z Huan, J Kai, Z Hantong, C Yue, C Peng China Communications, 2024 | | 2024 |
Huan ZhouNorthwestern Polytechnical UniversityVerified email at ece.ubc.ca
