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2020 – today
- 2024
[j2]Guogang Zhu
, Xuefeng Liu, Jianwei Niu, Yucheng Wei, Shaojie Tang, Jiayuan Zhang:
Learning by imitating the classics: Mitigating class imbalance in federated learning via simulated centralized learning. Expert Syst. Appl. 255: 124755 (2024)- [j1]Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu:
Aligning Before Aggregating: Enabling Communication Efficient Cross-Domain Federated Learning via Consistent Feature Extraction. IEEE Trans. Mob. Comput. 23(5): 5880-5896 (2024) - [c7]Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su:
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. IJCAI 2024: 2625-2633 - [c6]Nana Wang, Jianwei Niu, Xuefeng Liu, Dongqin Yu, Guogang Zhu, Xinghao Wu, Mingliang Xu, Hao Su:
BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation. IJCAI 2024: 6044-6052 - [c5]Jiayuan Zhang, Xuefeng Liu, Yukang Zhang, Guogang Zhu, Jianwei Niu, Shaojie Tang:
Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning. KDD 2024: 4191-4202 - [i7]Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su:
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. CoRR abs/2405.19789 (2024) - [i6]Xinghao Wu, Xuefeng Liu, Jianwei Niu, Haolin Wang, Shaojie Tang, Guogang Zhu, Hao Su:
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition. CoRR abs/2406.19931 (2024) - [i5]Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang, Xiaotian Li, Jiannong Cao:
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning. CoRR abs/2407.15464 (2024) - [i4]Xinghao Wu, Jianwei Niu, Xuefeng Liu, Mingjia Shi, Guogang Zhu, Shaojie Tang:
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation. CoRR abs/2407.16139 (2024) - [i3]Guogang Zhu, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Xinghao Wu, Jiayuan Zhang:
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations. CoRR abs/2407.17754 (2024) - 2023
- [c4]Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang:
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration. ICCV 2023: 19318-19327 - [i2]Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu, Xinghao Wu, Jiaxing Shen:
Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space. CoRR abs/2307.13995 (2023) - [i1]Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang:
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration. CoRR abs/2309.11103 (2023) - 2022
- [c3]Kaiyu Zheng, Xuefeng Liu, Guogang Zhu, Xinghao Wu, Jianwei Niu:
ChannelFed: Enabling Personalized Federated Learning via Localized Channel Attention. GLOBECOM 2022: 2987-2992 - [c2]Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu:
Aligning before Aggregating: Enabling Cross-domain Federated Learning via Consistent Feature Extraction. ICDCS 2022: 809-819 - 2021
- [c1]Changsheng Zhang, Guogang Zhu, Jian Fu:
Synchronized Multi-Helical Computed Tomography. CCRIS 2021: 214-218
Coauthor Index
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