| A survey of incentive mechanism design for federated learning Y Zhan, J Zhang, Z Hong, L Wu, P Li, S Guo IEEE Transactions on Emerging Topics in Computing 10 (2), 1035-1044, 2021 | 307 | 2021 |
| Parameterized knowledge transfer for personalized federated learning J Zhang, S Guo, X Ma, H Wang, W Xu, F Wu Advances in Neural Information Processing Systems 34, 10092-10104, 2021 | 213 | 2021 |
| Layer-wised model aggregation for personalized federated learning X Ma, J Zhang, S Guo, W Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 195 | 2022 |
| Adaptive federated learning on non-iid data with resource constraint J Zhang, S Guo, Z Qu, D Zeng, Y Zhan, Q Liu, R Akerkar IEEE Transactions on Computers 71 (7), 1655-1667, 2021 | 111 | 2021 |
| Federated unlearning: Guarantee the right of clients to forget L Wu, S Guo, J Wang, Z Hong, J Zhang, Y Ding IEEE Network 36 (5), 129-135, 2022 | 51 | 2022 |
| Edge learning: The enabling technology for distributed big data analytics in the edge J Zhang, Z Qu, C Chen, H Wang, Y Zhan, B Ye, S Guo ACM Computing Surveys (CSUR) 54 (7), 1-36, 2021 | 51 | 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 | 48 | 2020 |
| Towards data-independent knowledge transfer in model-heterogeneous federated learning J Zhang, S Guo, J Guo, D Zeng, J Zhou, AY Zomaya IEEE Transactions on Computers 72 (10), 2888-2901, 2023 | 42 | 2023 |
| Energy-efficient coordinated multipoint scheduling in green cloud radio access network D Zeng, J Zhang, L Gu, S Guo, J Luo IEEE Transactions on Vehicular Technology 67 (10), 9922-9930, 2018 | 34 | 2018 |
| Swapprompt: Test-time prompt adaptation for vision-language models X Ma, J Zhang, S Guo, W Xu Advances in Neural Information Processing Systems 36, 2024 | 33 | 2024 |
| Adaptive vertical federated learning on unbalanced features J Zhang, S Guo, Z Qu, D Zeng, H Wang, Q Liu, AY Zomaya IEEE Transactions on Parallel and Distributed Systems 33 (12), 4006-4018, 2022 | 33 | 2022 |
| Joint optimization of virtual function migration and rule update in software defined NFV networks J Zhang, D Zeng, L Gu, H Yao, M Xiong GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-5, 2017 | 31 | 2017 |
| Take renewable energy into CRAN toward green wireless access networks D Zeng, J Zhang, S Guo, L Gu, K Wang IEEE network 31 (4), 62-68, 2017 | 26 | 2017 |
| Towards unbiased training in federated open-world semi-supervised learning J Zhang, X Ma, S Guo, W Xu International Conference on Machine Learning, 41498-41509, 2023 | 11 | 2023 |
| From deterioration to acceleration: A calibration approach to rehabilitating step asynchronism in federated optimization F Wu, S Guo, H Wang, H Zhang, Z Qu, J Zhang, Z Liu IEEE Transactions on Parallel and Distributed Systems 34 (5), 1548-1559, 2023 | 11 | 2023 |
| Stochastic scheduling towards cost efficient network function virtualization in edge cloud D Zeng, J Zhang, L Gu, S Guo 2018 15th Annual IEEE International Conference on Sensing, Communication …, 2018 | 10 | 2018 |
| DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning S Bai, J Zhang, S Guo, S Li, J Guo, J Hou, T Han, X Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| Sign bit is enough: A learning synchronization framework for multi-hop all-reduce with ultimate compression F Wu, S He, S Guo, Z Qu, H Wang, W Zhuang, J Zhang Proceedings of the 59th ACM/IEEE Design Automation Conference, 193-198, 2022 | 8 | 2022 |
| Ruledrl: Reliability-aware SFC provisioning with bounded approximations in dynamic environments Y Zeng, Z Qu, S Guo, B Tang, B Ye, J Li, J Zhang IEEE Transactions on Services Computing 16 (5), 3651-3664, 2023 | 7 | 2023 |
| Learning personalized causally invariant representations for heterogeneous federated clients X Tang, S Guo, J Zhang, J Guo The Twelfth International Conference on Learning Representations, 2023 | 7 | 2023 |
Song GuoFCAE, FIEEE, Hong Kong University of Science and TechnologyEmail verificata su cse.ust.hk