| Convergence of edge computing and deep learning: A comprehensive survey X Wang, Y Han, VCM Leung, D Niyato, X Yan, X Chen IEEE communications surveys & tutorials 22 (2), 869-904, 2020 | 1459 | 2020 |
| In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning X Wang, Y Han, C Wang, Q Zhao, X Chen, M Chen Ieee Network 33 (5), 156-165, 2019 | 1105 | 2019 |
| Federated learning-based computation offloading optimization in edge computing-supported internet of things Y Han, D Li, H Qi, J Ren, X Wang Proceedings of the ACM Turing Celebration Conference-China, 1-5, 2019 | 246 | 2019 |
| Computation offloading with multiple agents in edge-computing–supported IoT S Shen, Y Han, X Wang, Y Wang ACM Transactions on Sensor Networks (TOSN) 16 (1), 1-27, 2019 | 99 | 2019 |
| Tailored learning-based scheduling for kubernetes-oriented edge-cloud system Y Han, S Shen, X Wang, S Wang, VCM Leung IEEE INFOCOM 2021-IEEE conference on computer communications, 1-10, 2021 | 83 | 2021 |
| Edge AI: Convergence of edge computing and artificial intelligence X Wang, Y Han, VCM Leung, D Niyato, X Yan, X Chen Springer Nature, 2020 | 66 | 2020 |
| Virtual machine placement optimization in mobile cloud gaming through QoE-oriented resource competition Y Han, D Guo, W Cai, X Wang, VCM Leung IEEE transactions on cloud computing 10 (3), 2204-2218, 2020 | 56 | 2020 |
| Deep reinforcement learning for cooperative edge caching in future mobile networks D Li, Y Han, C Wang, GT Shi, X Wang, X Li, VCM Leung 2019 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2019 | 36 | 2019 |
| Fundamentals of artificial intelligence X Wang, Y Han, VCM Leung, D Niyato, X Yan, X Chen, X Wang, Y Han, ... Edge AI: Convergence of Edge Computing and Artificial Intelligence, 33-47, 2020 | 16 | 2020 |
| QoE-oriented resource optimization for mobile cloud gaming: A potential game approach D Guo, Y Han, W Cai, X Wang, VCM Leung ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 16 | 2019 |
| Resolution doubled co-prime spectral analyzers for removing spurious peaks X Huang, Y Han, Z Yan, H Xian, W Lu IEEE Transactions on Signal processing 64 (10), 2489-2498, 2016 | 15 | 2016 |
| Edge computing for artificial intelligence X Wang, Y Han, VCM Leung, D Niyato, X Yan, X Chen, X Wang, Y Han, ... Edge AI: Convergence of Edge Computing and Artificial Intelligence, 97-115, 2020 | 10 | 2020 |
| Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network S Shen, Y Han, X Wang, S Wang, VCM Leung IEEE/ACM Transactions on Networking 31 (6), 2950-2964, 2023 | 4 | 2023 |
| Artificial Intelligence Applications on Edge X Wang, Y Han, VCM Leung, D Niyato, X Yan, X Chen, X Wang, Y Han, ... Edge AI: Convergence of Edge Computing and Artificial Intelligence, 51-63, 2020 | 2 | 2020 |
| Artificial intelligence for optimizing edge X Wang, Y Han, VCM Leung, D Niyato, X Yan, X Chen, X Wang, Y Han, ... Edge AI: Convergence of Edge Computing and Artificial Intelligence, 117-134, 2020 | 1 | 2020 |
| Artificial intelligence inference in edge X Wang, Y Han, VCM Leung, D Niyato, X Yan, X Chen, X Wang, Y Han, ... Edge AI: Convergence of Edge Computing and Artificial Intelligence, 65-76, 2020 | 1 | 2020 |
| Fundamentals of Edge Computing X Wang, Y Han, VCM Leung, D Niyato, X Yan, X Chen, X Wang, Y Han, ... Edge AI: Convergence of Edge Computing and Artificial Intelligence, 15-32, 2020 | | 2020 |
| Artificial Intelligence Training at Edge X Wang, Y Han, VCM Leung, D Niyato, X Yan, X Chen, X Wang, Y Han, ... Edge AI: Convergence of Edge Computing and Artificial Intelligence, 77-95, 2020 | | 2020 |
| Lessons Learned and Open Challenges X Wang, Y Han, VCM Leung, D Niyato, X Yan, X Chen, X Wang, Y Han, ... Edge AI: Convergence of Edge Computing and Artificial Intelligence, 137-148, 2020 | | 2020 |
