Xinghao Wu

33 papers A* 7A 1B 1Misc 2Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Continuous Review and Timely Correction: Enhancing the Resistance to Noisy Labels via Self-Not-True and Class-Wise Distillation.
IEEE Trans. Pattern Anal. Mach. Intell.
Long Lan, Jingyi Wang, Xinghao Wu, Bo Han, Xinwang Liu
2026 J jnl
Research on Linear Codes Holding q-Ary t-Designs.
CoRR
Xinghao Wu, Junling Zhou
2025 J jnl
3DFaceSculptor: A Common Framework for Image-Guided 3D Face Deformation.
IEEE Trans. Vis. Comput. Graph.
Hao Su, Xuxi Wang, Jianwei Niu, Xuefeng Liu, Xinghao Wu, Nana Wang
2025 A* conf
Causality Inspired Federated Learning for OOD Generalization.
ICML
Jiayuan Zhang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Haotian Yang, Xinghao Wu
2025 A* conf
Decoupling Dense Video Captioning via Task-specific Prompts.
ACM Multimedia
Wei Chen, Jianwei Niu, Xuefeng Liu, Xinghao Wu
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 — conf
HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark.
KDD (2)
Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yang
2025 J jnl
HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark.
CoRR
Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yang
2025 J jnl
Noise-free prototype guided representation calibration under label noise.
Knowl. Based Syst.
Huiting Yuan, Tingjin Luo, Xinghao Wu, Jie Jiang
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
2025 J jnl
UAV 3D Path Planning Based on Improved Chimp Optimization Algorithm.
Comput. Mater. Continua
Wenli Lei, Xinghao Wu, Kun Jia, Jinping Han
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 Misc conf
Continuous Review and Timely Correction: Enhancing the Resistance to Noisy Labels via Self-Not-True Distillation.
ICASSP
Jingyi Wang, Da Huang, Xinghao Wu, Yuhua Tang, Long Lan
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
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
MARVEL: Raster Gray-Level Manga Vectorization via Primitive-Wise Deep Reinforcement Learning.
IEEE Trans. Circuits Syst. Video Technol.
Hao Su, Xuefeng Liu, Jianwei Niu, Jiahe Cui, Ji Wan, Xinghao Wu, Nana Wang
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
Tackling Noisy Labels With Network Parameter Additive Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingyi Wang, Xiaobo Xia, Long Lan, Xinghao Wu, Jun Yu, Wenjing Yang, Bo Han, Tongliang Liu
2024 J jnl
Tackling Noisy Labels with Network Parameter Additive Decomposition.
CoRR
Jingyi Wang, Xiaobo Xia, Long Lan, Xinghao Wu, Jun Yu, Wenjing Yang, Bo Han, Tongliang Liu
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 J jnl
3Deformer: A Common Framework for Image-Guided Mesh Deformation.
CoRR
Hao Su, Xuefeng Liu, Jianwei Niu, Ji Wan, Xinghao Wu
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 B conf
ChannelFed: Enabling Personalized Federated Learning via Localized Channel Attention.
GLOBECOM
Kaiyu Zheng, Xuefeng Liu, Guogang Zhu, Xinghao Wu, Jianwei Niu
2022 A conf
pFedGF: Enabling Personalized Federated Learning via Gradient Fusion.
IPDPS
Xinghao Wu, Jianwei Niu, Xuefeng Liu, Tao Ren, Zhangmin Huang, Zhetao Li
2014 Misc conf
Cloud manufacturing application in semiconductor industry.
WSC
Xinghao Wu, Fei Qiao, Kwok Poon