Xu Chen
Cited by
Cited by
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
X Chen, L Jiao, W Li, X Fu
IEEE/ACM Transactions Networking, 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
Decentralized computation offloading game for mobile cloud computing
X Chen
IEEE Transactions on Parallel and Distributed Systems 26 (4), 974 - 983, 2015
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
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
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
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
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
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
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
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
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
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
ThriftyEdge: Resource-efficient edge computing for intelligent IoT applications
X Chen, Q Shi, L Yang, J Xu
IEEE network 32 (1), 61-65, 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
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
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
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
Social trust and social reciprocity based cooperative D2D communications
X Chen, B Proulx, X Gong, J Zhang
Proceedings of the fourteenth ACM international symposium on Mobile ad hoc …, 2013
Efficient resource allocation for on-demand mobile-edge cloud computing
X Chen, W Li, S Lu, Z Zhou, X Fu
IEEE Transactions on Vehicular Technology 67 (9), 8769-8780, 2018
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