| 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 | 57 | 2018 |
| 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 | 27 | 2021 |
| 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 | 25 | 2020 |
| 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 | 24 | 2019 |
| 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 | 19 | 2020 |
| 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 | 18 | 2021 |
| 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 | 18 | 2021 |
| 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 …, 2019 | 18 | 2019 |
| 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 | 17 | 2020 |
| 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 …, 2018 | 15 | 2018 |
| 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 | 10 | 2023 |
| 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 | 9 | 2017 |
| 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 | 5 | 2020 |
| CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming Q Zhou, R Li, S Guo, Y Liu, J Guo, Z Xu arXiv preprint arXiv:2211.08428, 2022 | 4 | 2022 |
| 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 | 4 | 2021 |
| 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 …, 2020 | 4 | 2020 |
| Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration T Guo, S Guo, F Wu, W Xu, J Zhang, Q Zhou, Q Chen, W Zhuang IEEE Transactions on Mobile Computing, 2023 | 2 | 2023 |
| Machine Learning on Commodity Tiny Devices: Theory and Practice S Guo, Q Zhou CRC Press, 2022 | 2 | 2022 |
| 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 | 1 | 2023 |
| Hierarchical channel-spatial encoding for communication-efficient collaborative learning Q Zhou, S Guo, Y Liu, J Zhang, J Zhang, T Guo, Z Xu, X Liu, Z Qu Advances in Neural Information Processing Systems 35, 5788-5801, 2022 | 1 | 2022 |
Song GuoFCAE, FIEEE, Hong Kong University of Science and Technology在 cse.ust.hk 的电子邮件经过验证
