| Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing X Chen, L Jiao, W Li, X Fu IEEE/ACM Transactions Networking, 2015 | 2799 | 2015 |
| Edge intelligence: Paving the last mile of artificial intelligence with edge computing Z Zhou, X Chen, E Li, L Zeng, K Luo, J Zhang Proceedings of the IEEE 107 (8), 1738-1762, 2019 | 1790 | 2019 |
| 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 | 1262 | 2020 |
| Decentralized computation offloading game for mobile cloud computing X Chen IEEE Transactions on Parallel and Distributed Systems 26 (4), 974 - 983, 2015 | 1028 | 2015 |
| 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 | 994 | 2019 |
| Edge AI: On-demand accelerating deep neural network inference via edge computing E Li, L Zeng, Z Zhou, X Chen IEEE Transactions on Wireless Communications 19 (1), 447-457, 2019 | 630 | 2019 |
| Follow me at the edge: Mobility-aware dynamic service placement for mobile edge computing T Ouyang, Z Zhou, X Chen IEEE Journal on Selected Areas in Communications 36 (10), 2333-2345, 2018 | 473 | 2018 |
| Edge intelligence: On-demand deep learning model co-inference with device-edge synergy E Li, Z Zhou, X Chen Proceedings of the 2018 workshop on mobile edge communications, 31-36, 2018 | 404 | 2018 |
| D2D fogging: An energy-efficient and incentive-aware task offloading framework via network-assisted D2D collaboration L Pu, X Chen, J Xu, X Fu IEEE Journal on Selected Areas in Communications 34 (12), 3887-3901, 2016 | 386 | 2016 |
| Personalized federated learning for intelligent IoT applications: A cloud-edge based framework Q Wu, K He, X Chen IEEE Open Journal of the Computer Society 1, 35-44, 2020 | 344 | 2020 |
| HFEL: Joint edge association and resource allocation for cost-efficient hierarchical federated edge learning S Luo, X Chen, Q Wu, Z Zhou, S Yu IEEE Transactions on Wireless Communications 19 (10), 6535-6548, 2020 | 330 | 2020 |
| When deep reinforcement learning meets federated learning: Intelligent multitimescale resource management for multiaccess edge computing in 5G ultradense network S Yu, X Chen, Z Zhou, X Gong, D Wu IEEE Internet of Things Journal 8 (4), 2238-2251, 2020 | 268 | 2020 |
| Exploiting social ties for cooperative D2D communications: A mobile social networking case X Chen, B Proulx, X Gong, J Zhang IEEE/ACM Transactions on Networking 23 (5), 1471-1484, 2014 | 263 | 2014 |
| Exploiting massive D2D collaboration for energy-efficient mobile edge computing X Chen, L Pu, L Gao, W Wu, D Wu IEEE Wireless communications 24 (4), 64-71, 2017 | 259 | 2017 |
| Fedhome: Cloud-edge based personalized federated learning for in-home health monitoring Q Wu, X Chen, Z Zhou, J Zhang IEEE Transactions on Mobile Computing 21 (8), 2818-2832, 2020 | 244 | 2020 |
| ThriftyEdge: Resource-efficient edge computing for intelligent IoT applications X Chen, Q Shi, L Yang, J Xu IEEE network 32 (1), 61-65, 2018 | 226 | 2018 |
| Adaptive user-managed service placement for mobile edge computing: An online learning approach T Ouyang, R Li, X Chen, Z Zhou, X Tang IEEE INFOCOM 2019-IEEE conference on computer communications, 1468-1476, 2019 | 200 | 2019 |
| MEETS: Maximal energy efficient task scheduling in homogeneous fog networks Y Yang, K Wang, G Zhang, X Chen, X Luo, MT Zhou IEEE Internet of Things Journal 5 (5), 4076-4087, 2018 | 181 | 2018 |
| Coedge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices L Zeng, X Chen, Z Zhou, L Yang, J Zhang IEEE/ACM Transactions on Networking 29 (2), 595-608, 2020 | 170 | 2020 |
| Cost-effective and privacy-preserving energy management for smart meters L Yang, X Chen, J Zhang, HV Poor IEEE Transactions on Smart Grid 6 (1), 486-495, 2014 | 145 | 2014 |
Zhi ZhouAssociate Professor, Sun Yat-sen University在 mail.sysu.edu.cn 的电子邮件经过验证
