| Multitask diffusion adaptation over networks J Chen, C Richard, AH Sayed IEEE Transactions on Signal Processing 62 (16), 4129-4144, 2014 | 286 | 2014 |
| Diffusion LMS over multitask networks J Chen, C Richard, AH Sayed IEEE Transactions on Signal Processing 63 (11), 2733-2748, 2015 | 242 | 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 | 210 | 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 | 131 | 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 | 113 | 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 |
| Nonlinear Estimation of Material Abundances in Hyperspectral Images With -Norm Spatial Regularization 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 | 99 | 2014 |
| 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 | 97 | 2020 |
| Nonnegative least-mean-square algorithm J Chen, C Richard, JCM Bermudez, P Honeine IEEE Transactions on Signal Processing 59 (11), 5225-5235, 2011 | 93 | 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 | 86 | 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 | 70 | 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 | 68 | 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 | 67 | 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 | 63 | 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 |
| LSTM-DNN based autoencoder network for nonlinear hyperspectral image unmixing M Zhao, L Yan, J Chen IEEE Journal of Selected Topics in Signal Processing 15 (2), 295-309, 2021 | 53 | 2021 |
Paul HoneineProfessor in Machine Learning & Signal Processing, LITIS Lab, Université de Rouen NormandieVerified email at univ-rouen.fr
