Fei Zhu

27 papers B 2C 1Misc 1Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
DTU-Net: A Multi-Scale Dilated Transformer Network for Nonlinear Hyperspectral Unmixing.
CoRR
ChenTong Wang, Jincheng Gao, Fei Zhu, Abderrahim Halimi, Cédric Richard
2025 J jnl
Robust Sparse Unmixing via Continuous Mixed Norm to Address Mixed Noise.
IEEE Geosci. Remote. Sens. Lett.
Jincheng Gao, Jiayu Shi, Fei Zhu
2025 J jnl
TransDNA: A Deep Transfer Learning Network for Sequence Reconstruction in DNA-Based Data Storage.
IEEE Trans. Comput. Biol. Bioinform.
Yun Qin, Fei Zhu, Bo Xi, Yuping Duan
2024 J jnl
Hyperspecral Unmixing Based on Multilinear Mixing Model Using Convolutional Autoencoders.
IEEE Trans. Geosci. Remote. Sens.
Tingting Fang, Fei Zhu, Jie Chen
2021 J jnl
A kernel-based weight decorrelation for regularizing CNNs.
Neurocomputing
Yanhong Zhang, Fei Zhu
2021 J jnl
Improving deep hyperspectral image classification performance with spectral unmixing.
Signal Process.
Alan J. X. Guo, Fei Zhu
2020 C conf
A Robust Multilinear Mixing Model with l2, 1 norm for Unmixing Hyperspectral Images.
VCIP
Minglei Li, Fei Zhu, Alan J. X. Guo
2020 J jnl
Boosting Deep Hyperspectral Image Classification with Spectral Unmixing.
CoRR
Alan J. X. Guo, Fei Zhu
2020 J jnl
Hyperspectral Image Classification With Deep Metric Learning and Conditional Random Field.
IEEE Geosci. Remote. Sens. Lett.
Yi Liang, Xin Zhao, Alan J. X. Guo, Fei Zhu
2020 Misc conf
Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data.
ICASSP
Fei Zhu, Paul Honeine, Jie Chen
2019 J jnl
A CNN-Based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification.
IEEE Trans. Geosci. Remote. Sens.
Alan J. X. Guo, Fei Zhu
2019 J jnl
A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing.
Remote. Sens.
Minglei Li, Fei Zhu, Alan J. X. Guo, Jie Chen
2019 J jnl
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field.
CoRR
Yi Liang, Xin Zhao, Alan J. X. Guo, Fei Zhu
2019 J jnl
Spectral-Spatial Feature Extraction and Classification by ANN Supervised With Center Loss in Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Alan J. X. Guo, Fei Zhu
2018 J jnl
A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification.
CoRR
Alan J. X. Guo, Fei Zhu
2017 J jnl
Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens.
Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng
2017 J jnl
Online kernel nonnegative matrix factorization.
Signal Process.
Fei Zhu, Paul Honeine
2017 J jnl
Spectral-Spatial Feature Extraction and Classification by ANN Supervised with Center Loss in Hyperspectral Imagery.
CoRR
Alan J. X. Guo, Fei Zhu
2016 B conf
ADMM for maximum correntropy criterion.
IJCNN
Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng
2016 J jnl
Biobjective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models.
IEEE Trans. Geosci. Remote. Sens.
Fei Zhu, Paul Honeine
2016 J jnl
Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing.
CoRR
Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng
2016 — —
Kernel nonnegative matrix factorization : application to hyperspectral imagery. (Factorisation en matrices non négatives à noyaux : application à l'imagerie hyperspectrale).
Fei Zhu
2015 J jnl
Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models.
CoRR
Paul Honeine, Fei Zhu
2015 — conf
Online nonnegative matrix factorization based on kernel machines.
EUSIPCO
Fei Zhu, Paul Honeine
2015 B conf
Pareto front of bi-objective kernel-based nonnegative matrix factorization.
ESANN
Fei Zhu, Paul Honeine
2014 J jnl
Kernel nonnegative matrix factorization without the curse of the pre-image.
CoRR
Fei Zhu, Paul Honeine, Maya Kallas
2014 — conf
Kernel nonnegative matrix factorization without the pre-image problem.
MLSP
Fei Zhu, Paul Honeine, Maya Kallas