Kernel nonnegative matrix factorization without the pre-image problem. - Fei Zhu 001; Paul Honeine; Maya Kallas (MLSP, 2014)

Kernel nonnegative matrix factorization without the curse of the pre-image. - Fei Zhu 001; Paul Honeine; Maya Kallas (CoRR, 2014)

Pareto front of bi-objective kernel-based nonnegative matrix factorization. - Fei Zhu 001; Paul Honeine (ESANN, 2015)

Online nonnegative matrix factorization based on kernel machines. - Fei Zhu 001; Paul Honeine (EUSIPCO, 2015)

Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models. - Paul Honeine; Fei Zhu 001 (CoRR, 2015)

ADMM for maximum correntropy criterion. - Fei Zhu 001; Abderrahim Halimi; Paul Honeine; Badong Chen; Nanning Zheng 001 (IJCNN, 2016)

Biobjective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models. - Fei Zhu 001; Paul Honeine (IEEE Trans. Geosci. Remote. Sens., 2016)

Kernel nonnegative matrix factorization : application to hyperspectral imagery. (Factorisation en matrices non négatives à noyaux : application à l'imagerie hyperspectrale). - Fei Zhu 001 (2016)

Online kernel nonnegative matrix factorization. - Fei Zhu 001; Paul Honeine (Signal Process., 2017)

Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing. - Fei Zhu 001; Abderrahim Halimi; Paul Honeine; Badong Chen; Nanning Zheng 001 (IEEE Trans. Geosci. Remote. Sens., 2017)

A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing. - Minglei Li; Fei Zhu 001; Alan J. X. Guo; Jie Chen 022 (Remote. Sens., 2019)

Spectral-Spatial Feature Extraction and Classification by ANN Supervised With Center Loss in Hyperspectral Imagery. - Alan J. X. Guo; Fei Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

A CNN-Based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification. - Alan J. X. Guo; Fei Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data. - Fei Zhu 001; Paul Honeine; Jie Chen 022 (ICASSP, 2020)

A Robust Multilinear Mixing Model with l2, 1 norm for Unmixing Hyperspectral Images. - Minglei Li; Fei Zhu 001; Alan J. X. Guo (VCIP, 2020)

Boosting Deep Hyperspectral Image Classification with Spectral Unmixing. - Alan J. X. Guo; Fei Zhu 001 (CoRR, 2020)

Hyperspectral Image Classification With Deep Metric Learning and Conditional Random Field. - Yi Liang; Xin Zhao; Alan J. X. Guo; Fei Zhu 001 (IEEE Geosci. Remote. Sens. Lett., 2020)

A kernel-based weight decorrelation for regularizing CNNs. - Yanhong Zhang; Fei Zhu 001 (Neurocomputing, 2021)

Improving deep hyperspectral image classification performance with spectral unmixing. - Alan J. X. Guo; Fei Zhu 001 (Signal Process., 2021)

Hyperspecral Unmixing Based on Multilinear Mixing Model Using Convolutional Autoencoders. - Tingting Fang; Fei Zhu 001; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2024)

Robust Sparse Unmixing via Continuous Mixed Norm to Address Mixed Noise. - Jincheng Gao; Jiayu Shi; Fei Zhu 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

DTU-Net: A Multi-Scale Dilated Transformer Network for Nonlinear Hyperspectral Unmixing. - ChenTong Wang; Jincheng Gao; Fei Zhu 001; Abderrahim Halimi; Cédric Richard (CoRR, 2025)