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Xinghao Wu
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2020 – today
- 2024
- [j2]Jingyi Wang
, Xiaobo Xia
Tackling Noisy Labels With Network Parameter Additive Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6341-6354 (2024) - [j1]Hao Su
MARVEL: Raster Gray-Level Manga Vectorization via Primitive-Wise Deep Reinforcement Learning. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2677-2693 (2024) - [c9]Jingyi Wang, Da Huang, Xinghao Wu, Yuhua Tang, Long Lan:
Continuous Review and Timely Correction: Enhancing the Resistance to Noisy Labels via Self-Not-True Distillation. ICASSP 2024: 5700-5704 - [c8]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 - [c7]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 - [c6]Xinghao Wu
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition. ACM Multimedia 2024: 7172-7181 - [c5]Guogang Zhu
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations. ACM Multimedia 2024: 11060-11069 - [i9]Jingyi Wang, Xiaobo Xia, Long Lan, Xinghao Wu, Jun Yu, Wenjing Yang, Bo Han, Tongliang Liu:
Tackling Noisy Labels with Network Parameter Additive Decomposition. CoRR abs/2403.13241 (2024) - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]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 - [i3]Hao Su, Xuefeng Liu, Jianwei Niu, Ji Wan, Xinghao Wu:
3Deformer: A Common Framework for Image-Guided Mesh Deformation. CoRR abs/2307.09892 (2023) - [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]Xinghao Wu, Jianwei Niu, Xuefeng Liu, Tao Ren, Zhangmin Huang, Zhetao Li:
pFedGF: Enabling Personalized Federated Learning via Gradient Fusion. IPDPS 2022: 639-649
2010 – 2019
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