Guogang Zhu

According to our database, Guogang Zhu authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Aligning Before Aggregating: Enabling Communication Efficient Cross-Domain Federated Learning via Consistent Feature Extraction.

Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu

IEEE Trans. Mob. Comput., May, 2024

Learning by imitating the classics: Mitigating class imbalance in federated learning via simulated centralized learning.

Guogang Zhu, Xuefeng Liu, Jianwei Niu, Yucheng Wei, Shaojie Tang, Jiayuan Zhang

Expert Syst. Appl., 2024

Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation.

Xinghao Wu, Jianwei Niu, Xuefeng Liu, Mingjia Shi, Guogang Zhu, Shaojie Tang

CoRR, 2024

The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning.

Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang, Xiaotian Li, Jiannong Cao

CoRR, 2024

DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations.

Guogang Zhu, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Xinghao Wu, Jiayuan Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition.

Xinghao Wu, Xuefeng Liu, Jianwei Niu, Haolin Wang, Shaojie Tang, Guogang Zhu, Hao Su

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning.

Jiayuan Zhang, Xuefeng Liu, Yukang Zhang, Guogang Zhu, Jianwei Niu, Shaojie Tang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning.

Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation.

Nana Wang, Jianwei Niu, Xuefeng Liu, Dongqin Yu, Guogang Zhu, Xinghao Wu, Mingliang Xu, Hao Su

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space.

Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu, Xinghao Wu, Jiaxing Shen

CoRR, 2023

Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration.

Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Aligning before Aggregating: Enabling Cross-domain Federated Learning via Consistent Feature Extraction.

Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

ChannelFed: Enabling Personalized Federated Learning via Localized Channel Attention.

Kaiyu Zheng, Xuefeng Liu, Guogang Zhu, Xinghao Wu, Jianwei Niu

Proceedings of the IEEE Global Communications Conference, 2022

2021

Synchronized Multi-Helical Computed Tomography.

Changsheng Zhang, Guogang Zhu, Jian Fu

Proceedings of the CCRIS 2021: 2nd International Conference on Control, 2021