Xinghao Wu

According to our database, Xinghao Wu authored at least 14 papers between 2014 and 2024.

Collaborative distances:

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

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

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

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

CoRR, 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

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

CoRR, 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

CoRR, 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