ask others

• Google
• Google Scholar
• Semantic Scholar
• Internet Archive Scholar
• CiteSeerX
• ORCID

• 2025
• 
  [j6]
  Huiting Yuan,Tingjin Luo,Xinghao Wu,Jie Jiang:
  Noise-free prototype guided representation calibration under label noise.Knowl. Based Syst.329:114308 (2025)
• 
  [j5]
  Guogang Zhu,Xuefeng Liu,Shaojie Tang,Jianwei Niu,Xinghao Wu,Jiaxing Shen,Wanyu Lin:
  Take Your Pick: Enabling Effective Distributed Learning Within Low-Dimensional Feature Space.IEEE Trans. Neural Networks Learn. Syst.36(7):13483-13497 (2025)
• 
  [j4]
  Xinghao Wu,Jianwei Niu,Xuefeng Liu,Guogang Zhu,Shaojie Tang,Wanyu Lin,Jiannong Cao:
  The Diversity Bonus: Learning From Dissimilar Clients in Personalized Federated Learning.IEEE Trans. Neural Networks Learn. Syst.36(10):18613-18627 (2025)
• 
  [j3]
  Hao Su,Xuxi Wang,Jianwei Niu,Xuefeng Liu,Xinghao Wu,Nana Wang:
  3DFaceSculptor: A Common Framework for Image-Guided 3D Face Deformation.IEEE Trans. Vis. Comput. Graph.31(12):10311-10327 (2025)
• 
  [c12]
  Jiayuan Zhang,Xuefeng Liu,Jianwei Niu,Shaojie Tang,Haotian Yang,Xinghao Wu:
  Causality Inspired Federated Learning for OOD Generalization.ICML2025
• 
  [c11]
  Jianqing Zhang,Xinghao Wu,Yanbing Zhou,Xiaoting Sun,Qiqi Cai,Yang Liu,Yang Hua,Zhenzhe Zheng,Jian Cao,Qiang Yang:
  HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark.KDD (2)2025:5900-5911
• 
  [c10]
  Wei Chen,Jianwei Niu,Xuefeng Liu,Xinghao Wu:
  Decoupling Dense Video Captioning via Task-specific Prompts.ACM Multimedia2025:3124-3132
• 
  [i12]
  Guogang Zhu,Xuefeng Liu,Jianwei Niu,Shaojie Tang,Xinghao Wu:
  The Other Side of the Coin: Unveiling the Downsides of Model Aggregation in Federated Learning from a Layer-peeled Perspective.CoRRabs/2502.03231 (2025)
• 
  [i11]
  Xinghao Wu,Jianwei Niu,Xuefeng Liu,Guogang Zhu,Jiayuan Zhang,Shaojie Tang:
  Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning.CoRRabs/2503.13543 (2025)
• 
  [i10]
  Jianqing Zhang,Xinghao Wu,Yanbing Zhou,Xiaoting Sun,Qiqi Cai,Yang Liu,Yang Hua,Zhenzhe Zheng,Jian Cao,Qiang Yang:
  HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark.CoRRabs/2506.03954 (2025)
• 2024
• 
  [j2]
  Jingyi Wang,Xiaobo Xia,Long Lan,Xinghao Wu,Jun Yu,Wenjing Yang,Bo Han,Tongliang Liu:
  Tackling Noisy Labels With Network Parameter Additive Decomposition.IEEE Trans. Pattern Anal. Mach. Intell.46(9):6341-6354 (2024)
• 
  [j1]
  Hao Su,Xuefeng Liu,Jianwei Niu,Jiahe Cui,Ji Wan,Xinghao Wu,Nana Wang:
  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.ICASSP2024:5700-5704
• 
  [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.IJCAI2024:2625-2633
• 
  [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.IJCAI2024:6044-6052
• 
  [c6]
  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.ACM Multimedia2024:7172-7181
• 
  [c5]
  Guogang Zhu,Xuefeng Liu,Jianwei Niu,Shaojie Tang,Xinghao Wu,Jiayuan Zhang:
  DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations.ACM Multimedia2024:11060-11069
• 
  [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.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.CoRRabs/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.ICCV2023:19318-19327
• 
  [i3]
  Hao Su,Xuefeng Liu,Jianwei Niu,Ji Wan,Xinghao Wu:
  3Deformer: A Common Framework for Image-Guided Mesh Deformation.CoRRabs/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.CoRRabs/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.CoRRabs/2309.11103 (2023)
• 2022
• 
  [c3]
  Kaiyu Zheng,Xuefeng Liu,Guogang Zhu,Xinghao Wu,Jianwei Niu:
  ChannelFed: Enabling Personalized Federated Learning via Localized Channel Attention.GLOBECOM2022:2987-2992
• 
  [c2]
  Xinghao Wu,Jianwei Niu,Xuefeng Liu,Tao Ren,Zhangmin Huang,Zhetao Li:
  pFedGF: Enabling Personalized Federated Learning via Gradient Fusion.IPDPS2022:639-649

• 2014
• 
  [c1]
  Xinghao Wu,Fei Qiao,Kwok Poon:
  Cloud manufacturing application in semiconductor industry.WSC2014:2376-2383

manage site settings