Guogang Zhu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Computed Tomography

Regularization Framework

Feature Extraction

Top Venues

IEEE Trans. Mob. Comput.

Publications

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)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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) (2024)
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)
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 (2023)
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 (2023)
Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu
Aligning before Aggregating: Enabling Cross-domain Federated Learning via Consistent Feature Extraction. ICDCS (2022)
Kaiyu Zheng, Xuefeng Liu, Guogang Zhu, Xinghao Wu, Jianwei Niu
ChannelFed: Enabling Personalized Federated Learning via Localized Channel Attention. GLOBECOM (2022)
Changsheng Zhang, Guogang Zhu, Jian Fu
Synchronized Multi-Helical Computed Tomography. CCRIS (2021)