Synchronized Multi-Helical Computed Tomography. - Changsheng Zhang 006; Guogang Zhu; Jian Fu (CCRIS, 2021)

ChannelFed: Enabling Personalized Federated Learning via Localized Channel Attention. - Kaiyu Zheng; Xuefeng Liu 001; Guogang Zhu; Xinghao Wu; Jianwei Niu 002 (GLOBECOM, 2022)

Aligning before Aggregating: Enabling Cross-domain Federated Learning via Consistent Feature Extraction. - Guogang Zhu; Xuefeng Liu 001; Shaojie Tang 001; Jianwei Niu 002 (ICDCS, 2022)

Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration. - Xinghao Wu; Xuefeng Liu 001; Jianwei Niu 002; Guogang Zhu; Shaojie Tang 001 (ICCV, 2023)

Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space. - Guogang Zhu; Xuefeng Liu 001; Shaojie Tang 001; Jianwei Niu 002; Xinghao Wu; Jiaxing Shen (CoRR, 2023)

BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation. - Nana Wang 002; Jianwei Niu 002; Xuefeng Liu 001; Dongqin Yu; Guogang Zhu; Xinghao Wu; Mingliang Xu 001; Hao Su (IJCAI, 2024)

Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. - Guogang Zhu; Xuefeng Liu 001; Xinghao Wu; Shaojie Tang 001; Chao Tang; Jianwei Niu 002; Hao Su (IJCAI, 2024)

Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning. - Jiayuan Zhang 001; Xuefeng Liu 001; Yukang Zhang; Guogang Zhu; Jianwei Niu 002; Shaojie Tang 001 (KDD, 2024)

Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition. - Xinghao Wu; Xuefeng Liu 001; Jianwei Niu 002; Haolin Wang 002; Shaojie Tang 001; Guogang Zhu; Hao Su (ACM Multimedia, 2024)

DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations. - Guogang Zhu; Xuefeng Liu 001; Jianwei Niu 002; Shaojie Tang 001; Xinghao Wu; Jiayuan Zhang 001 (ACM Multimedia, 2024)

The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning. - Xinghao Wu; Xuefeng Liu 001; Jianwei Niu 002; Guogang Zhu; Shaojie Tang 001; Xiaotian Li; Jiannong Cao 001 (CoRR, 2024)

Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation. - Xinghao Wu; Jianwei Niu 002; Xuefeng Liu 001; Mingjia Shi; Guogang Zhu; Shaojie Tang 001 (CoRR, 2024)

Learning by imitating the classics: Mitigating class imbalance in federated learning via simulated centralized learning. - Guogang Zhu; Xuefeng Liu 001; Jianwei Niu 002; Yucheng Wei; Shaojie Tang 001; Jiayuan Zhang 001 (Expert Syst. Appl., 2024)

Aligning Before Aggregating: Enabling Communication Efficient Cross-Domain Federated Learning via Consistent Feature Extraction. - Guogang Zhu; Xuefeng Liu 001; Shaojie Tang 001; Jianwei Niu 002 (IEEE Trans. Mob. Comput., 2024)

DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models. - Wei Chen 109; Jianwei Niu 002; Xuefeng Liu 001; Zhendong Wang; Shaojie Tang 001; Guogang Zhu (AAAI, 2025)

The Other Side of the Coin: Unveiling the Downsides of Model Aggregation in Federated Learning from a Layer-peeled Perspective. - Guogang Zhu; Xuefeng Liu 001; Jianwei Niu 002; Shaojie Tang 001; Xinghao Wu (CoRR, 2025)

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning. - Xinghao Wu; Jianwei Niu 002; Xuefeng Liu 001; Guogang Zhu; Jiayuan Zhang 001; Shaojie Tang 001 (CoRR, 2025)

Take Your Pick: Enabling Effective Distributed Learning Within Low-Dimensional Feature Space. - Guogang Zhu; Xuefeng Liu 001; Shaojie Tang 001; Jianwei Niu 002; Xinghao Wu; Jiaxing Shen; Wanyu Lin (IEEE Trans. Neural Networks Learn. Syst., 2025)

The Diversity Bonus: Learning From Dissimilar Clients in Personalized Federated Learning. - Xinghao Wu; Jianwei Niu 002; Xuefeng Liu 001; Guogang Zhu; Shaojie Tang 001; Wanyu Lin; Jiannong Cao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)