Cloud manufacturing application in semiconductor industry. - Xinghao Wu; Fei Qiao; Kwok Poon (WSC, 2014)

ChannelFed: Enabling Personalized Federated Learning via Localized Channel Attention. - Kaiyu Zheng; Xuefeng Liu 001; Guogang Zhu; Xinghao Wu; Jianwei Niu 002 (GLOBECOM, 2022)

pFedGF: Enabling Personalized Federated Learning via Gradient Fusion. - Xinghao Wu; Jianwei Niu 002; Xuefeng Liu 001; Tao Ren 001; Zhangmin Huang; Zhetao Li (IPDPS, 2022)

Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration. - Xinghao Wu; Xuefeng Liu 001; Jianwei Niu 002; Guogang Zhu; Shaojie Tang 001 (ICCV, 2023)

3Deformer: A Common Framework for Image-Guided Mesh Deformation. - Hao Su; Xuefeng Liu 001; Jianwei Niu 002; Ji Wan; Xinghao Wu (CoRR, 2023)

Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space. - Guogang Zhu; Xuefeng Liu 001; Shaojie Tang 001; Jianwei Niu 002; Xinghao Wu; Jiaxing Shen (CoRR, 2023)

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 (ICASSP, 2024)

BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation. - Nana Wang 002; Jianwei Niu 002; Xuefeng Liu 001; Dongqin Yu; Guogang Zhu; Xinghao Wu; Mingliang Xu 001; Hao Su (IJCAI, 2024)

Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. - Guogang Zhu; Xuefeng Liu 001; Xinghao Wu; Shaojie Tang 001; Chao Tang; Jianwei Niu 002; Hao Su (IJCAI, 2024)

Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition. - Xinghao Wu; Xuefeng Liu 001; Jianwei Niu 002; Haolin Wang 002; Shaojie Tang 001; Guogang Zhu; Hao Su (ACM Multimedia, 2024)

DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations. - Guogang Zhu; Xuefeng Liu 001; Jianwei Niu 002; Shaojie Tang 001; Xinghao Wu; Jiayuan Zhang 001 (ACM Multimedia, 2024)

The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning. - Xinghao Wu; Xuefeng Liu 001; Jianwei Niu 002; Guogang Zhu; Shaojie Tang 001; Xiaotian Li; Jiannong Cao 001 (CoRR, 2024)

Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation. - Xinghao Wu; Jianwei Niu 002; Xuefeng Liu 001; Mingjia Shi; Guogang Zhu; Shaojie Tang 001 (CoRR, 2024)

MARVEL: Raster Gray-Level Manga Vectorization via Primitive-Wise Deep Reinforcement Learning. - Hao Su; Xuefeng Liu 001; Jianwei Niu 002; Jiahe Cui; Ji Wan; Xinghao Wu; Nana Wang 002 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Tackling Noisy Labels With Network Parameter Additive Decomposition. - Jingyi Wang; Xiaobo Xia; Long Lan; Xinghao Wu; Jun Yu 001; Wenjing Yang 002; Bo Han 003; Tongliang Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

The Other Side of the Coin: Unveiling the Downsides of Model Aggregation in Federated Learning from a Layer-peeled Perspective. - Guogang Zhu; Xuefeng Liu 001; Jianwei Niu 002; Shaojie Tang 001; Xinghao Wu (CoRR, 2025)

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning. - Xinghao Wu; Jianwei Niu 002; Xuefeng Liu 001; Guogang Zhu; Jiayuan Zhang 001; Shaojie Tang 001 (CoRR, 2025)

HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark. - Jianqing Zhang; Xinghao Wu; Yanbing Zhou; Xiaoting Sun; Qiqi Cai; Yang Liu 165; Yang Hua 001; Zhenzhe Zheng; Jian Cao; Qiang Yang 001 (CoRR, 2025)

Take Your Pick: Enabling Effective Distributed Learning Within Low-Dimensional Feature Space. - Guogang Zhu; Xuefeng Liu 001; Shaojie Tang 001; Jianwei Niu 002; Xinghao Wu; Jiaxing Shen; Wanyu Lin (IEEE Trans. Neural Networks Learn. Syst., 2025)