Follow
Qihua Zhou
Title
Cited by
Cited by
Year
Cluster frameworks for efficient scheduling and resource allocation in data center networks: A survey
K Wang, Q Zhou, S Guo, J Luo
IEEE Communications Surveys & Tutorials 20 (4), 3560-3580, 2018
452018
Fast coflow scheduling via traffic compression and stage pipelining in datacenter networks
Q Zhou, K Wang, P Li, D Zeng, S Guo, B Ye, M Guo
IEEE Transactions on Computers 68 (12), 1755-1771, 2019
222019
Falcon: Towards computation-parallel deep learning in heterogeneous parameter server
Q Zhou, K Wang, S Guo, H Lu, L Li, M Guo, Y Sun
2019 IEEE 39th International Conference on Distributed Computing Systems íK, 2019
182019
Falcon: Addressing stragglers in heterogeneous parameter server via multiple parallelism
Q Zhou, S Guo, H Lu, L Li, M Guo, Y Sun, K Wang
IEEE Transactions on Computers 70 (1), 139-155, 2020
152020
Swallow: Joint online scheduling and coflow compression in datacenter networks
Q Zhou, P Li, K Wang, D Zeng, S Guo, M Guo
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS íK, 2018
132018
On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective
Q Zhou, Z Qu, S Guo, B Luo, J Guo, Z Xu, R Akerkar
IEEE Internet of Things Journal 8 (15), 11916-11934, 2021
82021
Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization
Q Zhou, S Guo, Z Qu, P Li, L Li, M Guo, K Wang
IEEE Transactions on Parallel and Distributed Systems 32 (5), 1030-1043, 2020
82020
Promoting Security and Efficiency in D2D Underlay Communication: A Bargaining Game Approach
Q Zhou, W Lu, S Chen, L Yang, K Wang
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
82017
Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning
Q Zhou, S Guo, Z Qu, J Guo, Z Xu, J Zhang, T Guo, B Luo, J Zhou
2021 {USENIX} Annual Technical Conference ({USENIX}{ATC} 21), 177-191, 2021
72021
Dual-view Attention Networks for Single Image Super-Resolution
J Guo, S Ma, J Zhang, Q Zhou, S Guo
Proceedings of the 28th ACM International Conference on Multimedia, 2728-2736, 2020
72020
Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks
Q Zhou, K Wang, H Lu, W Xu, Y Sun, S Guo
IEEE Transactions on Parallel and Distributed Systems 32 (4), 900-917, 2020
42020
A Comprehensive Inspection of the Straggler Problem
Q Zhou, S Guo, H Lu, L Li, M Guo, Y Sun, K Wang
Computer 54 (10), 4-5, 2021
32021
A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoTs
H Wang, Z Qu, Q Zhou, H Zhang, B Luo, W Xu, S Guo, R Li
IEEE Internet of Things Journal, 2021
32021
Petrel: Community-aware synchronous parallel for heterogeneous parameter server
Q Zhou, S Guo, P Li, Y Sun, L Li, M Guo, K Wang
2020 IEEE 40th International Conference on Distributed Computing Systems íK, 2020
22020
Machine Learning on Commodity Tiny Devices: Theory and Practice
S Guo, Q Zhou
CRC Press, 0
The system can't perform the operation now. Try again later.
Articles 1–15