| 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 | 73 | 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 | 65 | 2023 |
| 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 | 57 | 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 | 45 | 2021 |
| 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 | 41 | 2021 |
| 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 | 41 | 2020 |
| 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 | 36 | 2020 |
| 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 | 31 | 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 | 30 | 2019 |
| 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 | 21 | 2019 |
| 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 | 16 | 2018 |
| 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 | 15 | 2022 |
| 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 46 (5), 3938-3954, 2024 | 12 | 2024 |
| 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 | 9 | 2020 |
| 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 | 9 | 2020 |
| 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 |
| Freepih: Training-free painterly image harmonization with diffusion model R Li, J Guo, Q Zhou, S Guo Proceedings of the 32nd ACM International Conference on Multimedia, 7464-7473, 2024 | 8 | 2024 |
| 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 | 8 | 2023 |
| On the robustness of neural-enhanced video streaming against adversarial attacks Q Zhou, J Guo, S Guo, R Li, J Zhang, B Wang, Z Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17123 …, 2024 | 5 | 2024 |
| Parsnets: A parsimonious composition of orthogonal and low-rank linear networks for zero-shot learning J Guo, Q Zhou, X Lu, R Li, Z Liu, J Zhang, B Han, J Chen, X Xie, S Guo Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 5 | 2024 |
Song GuoFCAE, FIEEE, Hong Kong University of Science and TechnologyVahvistettu sähköpostiosoite verkkotunnuksessa cse.ust.hk