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Qihua Zhou (PR)
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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
692018
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
422021
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
332021
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
312020
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
252020
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
252019
A comprehensive survey on training acceleration for large machine learning models in IoT
H Wang, Z Qu, Q Zhou, H Zhang, B Luo, W Xu, S Guo, R Li
IEEE Internet of Things Journal 9 (2), 939-963, 2021
232021
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
232020
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 K, 2019
202019
Graph knows unknowns: Reformulate zero-shot learning as sample-level graph recognition
J Guo, S Guo, Q Zhou, Z Liu, X Lu, F Huo
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7775-7783, 2023
172023
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 K, 2018
152018
Cadm: Codec-aware diffusion modeling for neural-enhanced video streaming
Q Zhou, R Li, S Guo, P Dong, Y Liu, J Guo, Z Xu
arXiv preprint arXiv:2211.08428, 2022
122022
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
92017
Dissecting arbitrary-scale super-resolution capability from pre-trained diffusion generative models
R Li, Q Zhou, S Guo, J Zhang, J Guo, X Jiang, Y Shen, Z Han
arXiv preprint arXiv:2306.00714, 2023
82023
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
82020
Learning-based green workload placement for energy internet in smart cities
Q Zhou, Y Sun, H Lu, K Wang
Journal of Modern Power Systems and Clean Energy 10 (1), 91-99, 2020
52020
PASS: Patch Automatic Skip Scheme for Efficient On-device Video Perception
Q Zhou, S Guo, J Pan, J Liang, J Guo, Z Xu, J Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
42024
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
42021
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 K, 2020
42020
Parsnets: A parsimonious orthogonal and low-rank linear networks for zero-shot learning
J Guo, Q Zhou, R Li, X Lu, Z Liu, J Chen, X Xie, J Zhang
arXiv preprint arXiv:2312.09709, 2023
32023
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Articles 1–20