Multitask diffusion adaptation over networks J Chen, C Richard, AH Sayed
IEEE Transactions on Signal Processing 62 (16), 4129-4144, 2014
290 2014 Diffusion LMS over multitask networks J Chen, C Richard, AH Sayed
IEEE Transactions on Signal Processing 63 (11), 2733-2748, 2015
246 2015 Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model J Chen, C Richard, P Honeine
IEEE Transactions on Signal Processing 61 (2), 480-492, 2012
212 2012 Nonlinear unmixing of hyperspectral data via deep autoencoder networks M Wang, M Zhao, J Chen, S Rahardja
IEEE Geoscience and Remote Sensing Letters 16 (9), 1467-1471, 2019
133 2019 Functional organization of the human 4D Nucleome H Chen, J Chen, LA Muir, S Ronquist, W Meixner, M Ljungman, T Ried, ...
Proceedings of the National Academy of Sciences 112 (26), 8002-8007, 2015
127 2015 Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications S Liu, J Chen, PY Chen, AO Hero
AISTATS, 2017
115 2017 Diffusion sign-error LMS algorithm: Formulation and stochastic behavior analysis J Ni, J Chen, X Chen
Signal Processing 128, 142-149, 2016
112 2016 Multitask learning over graphs: An approach for distributed, streaming machine learning R Nassif, S Vlaski, C Richard, J Chen, AH Sayed
IEEE Signal Processing Magazine 37 (3), 14-25, 2020
103 2020 Nonlinear Estimation of Material Abundances in Hyperspectral Images With J Chen, C Richard, P Honeine
IEEE Transactions on Geoscience and Remote Sensing 52 (5), 2654-2665, 2013
103 2013 Online dictionary learning for kernel LMS W Gao, J Chen, C Richard, J Huang
IEEE Transactions on Signal Processing 62 (11), 2765-2777, 2014
102 2014 Nonnegative least-mean-square algorithm J Chen, C Richard, JCM Bermudez, P Honeine
IEEE Transactions on Signal Processing 59 (11), 5225-5235, 2011
94 2011 Deep learning methods for solving linear inverse problems: Research directions and paradigms Y Bai, W Chen, J Chen, W Guo
Signal Processing 177, 107729, 2020
91 2020 Spectral identification of topological domains J Chen, AO Hero III, I Rajapakse
Bioinformatics 32 (14), 2151-2158, 2016
86 2016 A low-rank tensor dictionary learning method for hyperspectral image denoising X Gong, W Chen, J Chen
IEEE Transactions on Signal Processing 68, 1168-1180, 2020
72 2020 Hyperspectral unmixing for additive nonlinear models with a 3-D-CNN autoencoder network M Zhao, M Wang, J Chen, S Rahardja
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021
71 2021 Hyperspectral image super-resolution via deep prior regularization with parameter estimation X Wang, J Chen, Q Wei, C Richard
IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 1708-1723, 2021
70 2021 Multitask diffusion adaptation over networks with common latent representations J Chen, C Richard, A Sayed
IEEE Journal of Selected Topics in Signal Processing 11 (3), 563-579, 2017
65 2017 Internal transfer learning for improving performance in human action recognition for small datasets T Wang, Y Chen, M Zhang, J Chen, H Snoussi
IEEE Access 5, 17627-17633, 2017
61 2017 Distributed diffusion adaptation over graph signals R Nassif, C Richard, J Chen, AH Sayed
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018
56 2018 Object detection in hyperspectral images L Yan, M Zhao, X Wang, Y Zhang, J Chen
IEEE Signal Processing Letters 28, 508-512, 2021
54 2021 
Paul HoneineProfessor in Machine Learning & Signal Processing, LITIS Lab, Université de Rouen NormandieDirección de correo verificada de univ-rouen.fr
