Xinghao Wu

According to our database, Xinghao Wu authored at least 28 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Continuous Review and Timely Correction: Enhancing the Resistance to Noisy Labels via Self-Not-True and Class-Wise Distillation.

Long Lan, Jingyi Wang, Xinghao Wu, Bo Han, Xinwang Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

From Coordinate Matching to Structural Alignment: Rethinking Prototype Alignment in Heterogeneous Federated Learning.

Xinghao Wu, Jianwei Niu, Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jiayuan Zhang

CoRR, May, 2026

Research on Linear Codes Holding q-Ary t-Designs.

Xinghao Wu, Junling Zhou

CoRR, March, 2026

2025

The Diversity Bonus: Learning From Dissimilar Clients in Personalized Federated Learning.

Xinghao Wu, Jianwei Niu, Xuefeng Liu, Guogang Zhu, Shaojie Tang, Wanyu Lin, Jiannong Cao

IEEE Trans. Neural Networks Learn. Syst., October, 2025

Take Your Pick: Enabling Effective Distributed Learning Within Low-Dimensional Feature Space.

Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu, Xinghao Wu, Jiaxing Shen, Wanyu Lin

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning.

Xinghao Wu, Jianwei Niu, Xuefeng Liu, Guogang Zhu, Jiayuan Zhang, Shaojie Tang

CoRR, March, 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, Jianwei Niu, Shaojie Tang, Xinghao Wu

CoRR, February, 2025

3DFaceSculptor: A Common Framework for Image-Guided 3D Face Deformation.

Hao Su, Xuxi Wang, Jianwei Niu, Xuefeng Liu, Xinghao Wu, Nana Wang

IEEE Trans. Vis. Comput. Graph., 2025

Noise-free prototype guided representation calibration under label noise.

Huiting Yuan, Tingjin Luo, Xinghao Wu, Jie Jiang

Knowl. Based Syst., 2025

UAV 3D Path Planning Based on Improved Chimp Optimization Algorithm.

Wenli Lei, Xinghao Wu, Kun Jia, Jinping Han

Comput. Mater. Continua, 2025

Decoupling Dense Video Captioning via Task-specific Prompts.

Wei Chen, Jianwei Niu, Xuefeng Liu, Xinghao Wu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark.

Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Causality Inspired Federated Learning for OOD Generalization.

Jiayuan Zhang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Haotian Yang, Xinghao Wu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Tackling Noisy Labels With Network Parameter Additive Decomposition.

Jingyi Wang, Xiaobo Xia, Long Lan, Xinghao Wu, Jun Yu, Wenjing Yang, Bo Han, Tongliang Liu

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

MARVEL: Raster Gray-Level Manga Vectorization via Primitive-Wise Deep Reinforcement Learning.

Hao Su, Xuefeng Liu, Jianwei Niu, Jiahe Cui, Ji Wan, Xinghao Wu, Nana Wang

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation.

Xinghao Wu, Jianwei Niu, Xuefeng Liu, Mingjia Shi, Guogang Zhu, Shaojie Tang

CoRR, 2024

The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning.

Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang, Xiaotian Li, Jiannong Cao

CoRR, 2024

DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations.

Guogang Zhu, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Xinghao Wu, Jiayuan Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition.

Xinghao Wu, Xuefeng Liu, Jianwei Niu, Haolin Wang, Shaojie Tang, Guogang Zhu, Hao Su

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning.

Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation.

Nana Wang, Jianwei Niu, Xuefeng Liu, Dongqin Yu, Guogang Zhu, Xinghao Wu, Mingliang Xu, Hao Su

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Continuous Review and Timely Correction: Enhancing the Resistance to Noisy Labels via Self-Not-True Distillation.

Jingyi Wang, Da Huang, Xinghao Wu, Yuhua Tang, Long Lan

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space.

Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu, Xinghao Wu, Jiaxing Shen

CoRR, 2023

3Deformer: A Common Framework for Image-Guided Mesh Deformation.

Hao Su, Xuefeng Liu, Jianwei Niu, Ji Wan, Xinghao Wu

CoRR, 2023

Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration.

Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

pFedGF: Enabling Personalized Federated Learning via Gradient Fusion.

Xinghao Wu, Jianwei Niu, Xuefeng Liu, Tao Ren, Zhangmin Huang, Zhetao Li

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

ChannelFed: Enabling Personalized Federated Learning via Localized Channel Attention.

Kaiyu Zheng, Xuefeng Liu, Guogang Zhu, Xinghao Wu, Jianwei Niu

Proceedings of the IEEE Global Communications Conference, 2022

2014

Cloud manufacturing application in semiconductor industry.

Xinghao Wu, Fei Qiao, Kwok Poon

Proceedings of the 2014 Winter Simulation Conference, 2014