Follow
Zhi Zhou
Zhi Zhou
Associate Professor, Sun Yat-sen University
Verified email at mail.sysu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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, 2019
10552019
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
3312019
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
3002018
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
2772018
On arbitrating the power-performance tradeoff in SaaS clouds
Z Zhou, F Liu, H Jin, B Li, B Li, H Jiang
IEEE INFOCOM, 2013
156*2013
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
1432019
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
1422020
Winning at the starting line: Joint network selection and service placement for mobile edge computing
B Gao, Z Zhou, F Liu, F Xu
IEEE INFOCOM 2019-IEEE conference on computer communications, 1459-1467, 2019
1422019
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
1002018
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
972020
Carbon-aware Load Balancing for Geo-distributed Cloud Services
Z Zhou, F Liu, Y Xu, R Zou, H Xu, JCS Lui, H Jin
IEEE MASCOTS, 2013
952013
Online orchestration of cross-edge service function chaining for cost-efficient edge computing
Z Zhou, Q Wu, X Chen
IEEE Journal on Selected Areas in Communications 37 (8), 1866-1880, 2019
752019
When Smart Grid Meets Geo-distributed Cloud: An Auction Approach to Datacenter Demand Response
Z Zhou, F Liu, Z Li, H Jin
INFOCOM, 2015 Proceedings IEEE, 2015
712015
Boomerang: On-demand cooperative deep neural network inference for edge intelligence on the industrial Internet of Things
L Zeng, E Li, Z Zhou, X Chen
IEEE Network 33 (5), 96-103, 2019
702019
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, 2020
682020
Carbon-aware Online Control of Geo-distributed Cloud Services
Z Zhou, F Liu, R Zou, J Liu, H Xu, H Jin
IEEE Transactions on Parallel & Distributed Computing, 2016
662016
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
542020
Cost-Effective Cloud Server Provisioning for Predictable Performance of Big Data Analytics
F Xu, H Zheng, H Jiang, W Shao, H Liu, Z Zhou
IEEE Transactions on Parallel and Distributed Systems, 2018
392018
CEFL: Online admission control, data scheduling, and accuracy tuning for cost-efficient federated learning across edge nodes
Z Zhou, S Yang, L Pu, S Yu
IEEE Internet of Things Journal 7 (10), 9341-9356, 2020
362020
Mobile social data learning for user-centric location prediction with application in mobile edge service migration
Q Wu, X Chen, Z Zhou, L Chen
IEEE Internet of Things Journal 6 (5), 7737-7747, 2019
342019
The system can't perform the operation now. Try again later.
Articles 1–20