Guogang Zhu - RankMe

23 papers A* 7A 1B 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models. AAAI Wei Chen, Jianwei Niu, Xuefeng Liu, Zhendong Wang, Shaojie Tang, Guogang Zhu
2025	J	`jnl`	Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning. CoRR Xinghao Wu, Jianwei Niu, Xuefeng Liu, Guogang Zhu, Jiayuan Zhang, Shaojie Tang
2025	J	`jnl`	Take Your Pick: Enabling Effective Distributed Learning Within Low-Dimensional Feature Space. IEEE Trans. Neural Networks Learn. Syst. Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu, Xinghao Wu, Jiaxing Shen, Wanyu Lin
2025	J	`jnl`	The Diversity Bonus: Learning From Dissimilar Clients in Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Xinghao Wu, Jianwei Niu, Xuefeng Liu, Guogang Zhu, Shaojie Tang, Wanyu Lin, Jiannong Cao
2025	J	`jnl`	The Other Side of the Coin: Unveiling the Downsides of Model Aggregation in Federated Learning from a Layer-peeled Perspective. CoRR Guogang Zhu, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Xinghao Wu
2024	J	`jnl`	Aligning Before Aggregating: Enabling Communication Efficient Cross-Domain Federated Learning via Consistent Feature Extraction. IEEE Trans. Mob. Comput. Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu
2024	A*	`conf`	BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation. IJCAI Nana Wang, Jianwei Niu, Xuefeng Liu, Dongqin Yu, Guogang Zhu, Xinghao Wu, Mingliang Xu, Hao Su
2024	J	`jnl`	Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition. CoRR Xinghao Wu, Xuefeng Liu, Jianwei Niu, Haolin Wang, Shaojie Tang, Guogang Zhu, Hao Su
2024	A*	`conf`	Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition. ACM Multimedia Xinghao Wu, Xuefeng Liu, Jianwei Niu, Haolin Wang, Shaojie Tang, Guogang Zhu, Hao Su
2024	A*	`conf`	DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations. ACM Multimedia Guogang Zhu, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Xinghao Wu, Jiayuan Zhang
2024	J	`jnl`	DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations. CoRR Guogang Zhu, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Xinghao Wu, Jiayuan Zhang
2024	A*	`conf`	Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning. KDD Jiayuan Zhang, Xuefeng Liu, Yukang Zhang, Guogang Zhu, Jianwei Niu, Shaojie Tang
2024	A*	`conf`	Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. IJCAI Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su
2024	J	`jnl`	Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. CoRR Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su
2024	J	`jnl`	Learning by imitating the classics: Mitigating class imbalance in federated learning via simulated centralized learning. Expert Syst. Appl. Guogang Zhu, Xuefeng Liu, Jianwei Niu, Yucheng Wei, Shaojie Tang, Jiayuan Zhang
2024	J	`jnl`	Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation. CoRR Xinghao Wu, Jianwei Niu, Xuefeng Liu, Mingjia Shi, Guogang Zhu, Shaojie Tang
2024	J	`jnl`	The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning. CoRR Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang, Xiaotian Li, Jiannong Cao
2023	A*	`conf`	Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration. ICCV Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang
2023	J	`jnl`	Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration. CoRR Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang
2023	J	`jnl`	Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space. CoRR Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu, Xinghao Wu, Jiaxing Shen
2022	A	`conf`	Aligning before Aggregating: Enabling Cross-domain Federated Learning via Consistent Feature Extraction. ICDCS Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu
2022	B	`conf`	ChannelFed: Enabling Personalized Federated Learning via Localized Channel Attention. GLOBECOM Kaiyu Zheng, Xuefeng Liu, Guogang Zhu, Xinghao Wu, Jianwei Niu
2021	—	`conf`	Synchronized Multi-Helical Computed Tomography. CCRIS Changsheng Zhang, Guogang Zhu, Jian Fu