Jie Chen's Homepage

Journal publications

Submitted/In preparation

  • M. Kaloorazi, J. Chen (corr. author), "Low-Rank Approximation of High-Dimensional Matrices Based on Intermingled Randomized Decomposition", submitted.

  • Z. He, Y. Liu, Y. Li, J. Chen, R. Chen, N. El-Sheimy, "Using LoRa signal fingerprint map and spatial gradients for wide area localization".  Submitted.

2022

  • M. Zhao, M. Wang, J. Chen (corr. author), S. Rahardja, "Hyperspectral unmixing for additive nonlinear models with a 3D-CNN autoencoder network", IEEE Transactions on Geoscience and Remote Sensing, 2022.

 

2021

  • H. Cai, M. Kaloorazi, J. Chen (corr. author), "Online generalized eigenvectors extraction via a fixed-point approach", IEEE Transactions on Signal Processing, vol. 69, pp. 2435--2451, 2021.

  • M. Kaloorazi, J. Chen (corr. author), "Projection-based QLP algorithm for efficiently computing low-rank approximation of matrices", IEEE Transactions on Signal Processing, vo. 69, pp. 2218--2232, 2021.

  • M. Zhao, L. Yan, J. Chen (corr. author), "LSTM-DNN based autoencoder network for nonlinear hyperspectral image unmixing", IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 2, pp. 295--309, 2021.

  • M. Zhao, X. Wang, J. Chen (corr. author), W. Chen,  "A plug-and-play priors framework for hyperspectral unmixing", IEEE Transactions on Geoscience and Remote Sensing,  2021.

  • M. Zhang, D. Jin,  J. Chen (corr. author), J. Ni,  "Zeroth-order diffusion adaptive filter over networks", IEEE Transactions on Signal Processing,  vol. 69, pp. 589 -- 602, 2021.

  • J. Ni, Y. Gao, X. Chen, J. Chen,  "Bias-compensated sign algorithm for noisy inputs and its step-size optimization", IEEE Transactions on Signal Processing, vo. 69, pp. 2330--2342, 2021.

  • X. Wang, J. Chen (corr. author), Q. Wei, C. Richard, "Hyperspectral image super-resolution via deep prior regularization with parameter estimation", IEEE Transactions on Circuits and Systems for Video Technology, 2021.

  • X. Wang, J. Chen, X. Chen, J. Guo, Q. Xiang, "Multichannel iterative noise reduction filters in the short-time-Fourier-transform domain based on Kronecker product decomposition", IEEE Transactions on Audio, Speech and Language Processing, 2021.

  • M. Zhao, L. Yan, J. Chen (corr. author), "Hyperspectral image shadow compensation via cycle-consistent adversarial networks", Neurocomputing, vol. 450, pp. 61--69, 2021.

  • H. Cai, Y. Zhao, J. Chen (corr. author), W. Chen, M. Kaloorazi, "Online construction of variable span linear filters using a fixed-point approach"IEEE Signal Processing Letters, vol. 28, pp. 404--408, 2021.

  • L. Yan, M. Zhao, X. Wang, Y. Zhang, J. Chen (corr. author),  "Object detection in hyperspectral images", IEEE Signal Processing Letters, vol. 28, pp. 508--512, 2021.

  • X. Yang, M. Zhao, J. Chen (corr. author), T. Gao, J. Zhang, "Multiscale superpixel-based sparseCEM for hyperspectral target detection", IEEE Geoscience and Remote Sensing  Letters, 2021.

  • M. Zhao, T. Gao, J. Chen (corr. author), W. Chen, "Hyperspectral unmixing via nonnegative matrix factorization with handcrafted and learnt priors", IEEE Geoscience and Remote Sensing  Letters, 2021.

  • M. Zhao, J. Chen (corr. author), S. Rahardja, "Hyperspectral shadow removal via nonlinear unmixing", IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 5, pp. 881--885, 2021.

  • Y. Dong, J. Chen (corr. author), W. Zhang, "Wave-domain active noise control over distributed networks with multi-channel nodes", Signal Processing, vol. 184, pp. 108050, 2021.

  • Z. Qing, J. Ni, Z. Li, J. Chen, "Selective partial-update augmented complex-valued LMS algorithm and its performance analysis", Signal Processing, vol. 188, pp. 108217, 2021.

  • Y. Xing, J. Ni, J. Chen, "A family of affine projection-type least lncosh algorithms and their step-size optimization", Signal Processing, 2021.

  • N. Zhang, J. Ni, J. Chen, Z. Li,  "Steady-state mean-square error performance analysis of the tensor LMS algorithm". IEEE Transactions on Circuits and Systems II: Express Briefs,  vol. 68, no. 3, pp. 1043--1047, 2021.

  • X. Gong, W. Chen, J. Chen, B. Ai, "Tensor denoising using low-rank tensor train decomposition", IEEE Signal Processing Letters, vol. 27, pp. 1685--1689, 2021.

  • W. Gao, J. Chen, C. Richard, "Transient theoretical analysis of diffusion RLS algorithm for cyclostationary colored inputs", IEEE Signal Processing Letters, vol. 28, pp. 1160--1164, 2021.

  • Y. Zhang, D. Jin (corr. author), J. Chen(corr. author), "A model-based variable step-size strategy for proximal multitask diffusion LMS algorithm", Digital Signal Processing, 2021, 

  • Y. Zong, J. Ni, J. Chen, "A family of normalized dual sign algorithms", Digital Signal Processing, 2021, vol. 110, pp. 102964, 2021.

 

2020

  • D. Jin, J. Chen (corr. author), C. Richard, J. Chen, A. Sayed,  "Affine combination of diffusion strategies over networks". IEEE Transactions on Signal Processing, vol. 68, pp. 2087-2104, 2020.

  • R. Nassif, S. Vlaski, C. Richard, J. Chen, A. Sayed, "Multitask learning over graphs: an approach for distributed, streaming machine learning", IEEE Signal Processing Magazine, vol. 37, no. 3, pp. 14-25, 2020.
  • M. Kaloorazi, J. Chen (corr. author), "Efficient low-rank approximation of matrices based on randomized pivoted decomposition", IEEE Transactions on Signal Processing, vol. 68, pp. 3575--3589, 2020.

  • D. Jin, J. Chen (corr. author), C. Richard, J. Chen,  "Online proximal learning over jointly sparse multitask networks with L_{\infty,1} regularization". IEEE Transactions on Signal Processing,  vol. 68, pp. 6319--6335, 2020.

  • D. Jin, J. Chen (corr. author), C. Richard, J. Chen, A. Sayed  "Convex combination of diffusion strategies over networks". IEEE Transactions on Signal and Information over Networks,  vol. 6, pp. 714--731, 2020.

  • X. Gong, W. Chen, J. Chen, "A low-rank tensor dictionary learning method for hyperspectral image denoising", IEEE Transactions on Signal Processing, vol. 68, pp. 1169--1180, 2020.

  • L. Yan, X. Wang, M. Zhao, M. Kaloorazi, J. Chen (corr. author), S. Rahardja, "Reconstruction of hyperspectral data from RGB images with prior category information", IEEE Transactions on Computational Imaging, vol. 6, pp. 1070--1081, 2020.

  • Y. Dong, J. Chen (corr. author), W. Zhang, "Distributed wave-domain active noise control based on the diffusion adaptation", IEEE Transactions on Audio, Speech and Language Processing, vol. 28, pp. 2374--2385, 2020.

  • Y. Bai, W. Chen, J. Chen, W. Guo, "Deep learning methods for solving linear inverse problems: Research directions and paradigms", Signal Processing, vol 177, pp. 107729 (23 pages),  2020.

  • W. Lu, L. Zhang, J. Chen, J. Chen, "Generalized combined nonlinear adaptive filters: from the perspective diffusion adaptation over networks", Signal Processing.  vol. 172, pp. 107507 (12 pages), 2020.

  • J. Ni, Y. Zhu, J. Chen, "Multitask diffusion affine projection sign algorithm and its sparse variant for distributed estimation"Signal Processing.  vol. 172, pp. 107561 (12 pages), 2020.

  • W. Gao, M. Song, J. Chen"Tracking analysis of Gaussian kernel signed error algorithm for time-variant nonlinear systems", IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 10, pp. 3562--3566, 2020.

  • W. Gao, J. Chen, "Transient analysis of signed LMS algorithms with cyclostationary colored Gaussian inputs"IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 12, pp. 2289--2293,  2020.

 

2019 

  • Y. Song, E.-H. Djermoune, J. Chen, C. Richard, D. Brie, "Online deconvolution for industrial hyperspectral imaging systems". SIAM Journal on Imaging Sciences, vol. 12, no. 1, pp. 54-86, 2019.

  • M. Zhao, J. Chen (corr. author), Z. He, "A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation".  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensingvol12, no. 7, pp. 2170-2183, 2019.

  • X. Yang, J. Chen (corr. author), Z. He, "Sparse-SpatialCEM for hyperspectral target detection"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensingvol12, no. 7, pp. 2184-2195, 2019.

  • M. Wang, M. Zhao, J. Chen (corr. author), S. Rahardja, "Nonlinear unmixing of hyperspectral data via deep auto-encoder networks". IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 9. pp. 1467-1471, 2019.

  • M. Kaloorazi, J. Chen (corr. author), "Truncated pivoted QLP factorization for low-rank matrix recovery", IEEE Signal Processing Letters, vol26, no. 7, pp. 1075-1079, 2019.

  • Y. Zhao, J. Chen (corr. author), J. Chen, "Recursive variable span linear filter for noise reduction". IEEE Signal Processing Letters, vol26, no. 12, pp. 1902-1906, 2019.

  • F. Hua, C. Richard, J. Chen, H. Wang, P. Borgnat, P. Convalves, "Learning combination of graph filters for graph signal modeling", IEEE Signal Processing Lettersvol26, no. 12, pp. 1912-1916, 2019.

  • Z. Li, J. Chen (corr. author), S. Rahardja, "Kernel-based nonlinear spectral unmixing with dictionary pruning". Remote Sensing, vol. 11, no. 5, p. 529, 2019.

  • M. Li, F. Zhu, A. G. J. Guo, J. Chen"A graph regularized multilinear mixing model for nonlinear hyperspectral unmixing". Remote Sensing, vol. 11, no. 19, p. 2188, 2019.

  • W. Gao, Y. Xu, J. Chen"Stochastic analysis of diffusion dual sign algorithm for cyclostationary white Gaussian inputs and nonstationary Systems", IEEE Transactions on Circuits and Systems II: Express Briefs, 2019.

  • W. Gao, J. Chen, "Performance analysis of diffusion LMS for cyclostationary white non-Gaussian inputs", IEEE Acesss, vol. 7,  pp. 91243-91252, 2019.

2018

  • D. Jin, J. Chen (corr. author), C. Richard, J. Chen, "Model-driven online parameter adjustment for zero-attracting LMS”, Signal Processing, vol. 152,  pp. 373–383, 2018.

  • Y. Gao, J. Ni, J. Chen, X. Chen, "Steady-state and stability analyses of diffusion sign-error LMS”, Signal Processing, vol. 149,  pp. 62–67, 2018.

  • T. Wang, M. Qiao, Y. Chen, J. Chen, A. Zhu, H. Snoussi, "Video feature descriptor combining motion and appearance cues with length-invariant characteristics”, International Journal for Light and Electron Optics, vol. 157,  pp. 1143–1154, 2018.

2017

  • J. Chen, C. Richard, A. Sayed, "Multitask diffusion adaptation over networks with common latent representations" IEEE Journal of Selected Topics in Signal Processing, vol. 11, no.3, pp. 563-579, 2017.

  • W. Gao, J. Chen (corr. author), "Kernel least mean p-power algorithm",  IEEE Signal Processing Letters, vol. 24, no.7, pp. 996-1000, 2017.

  • T. Wang, Y. Chen, M. Zhang, J. Chen, H. Snoussi, "Internal transfer learning for improving performance in human action recognition for small datasets",  IEEE Access, vol. 5, pp.  17627 - 17633, 2017.

2016

  • J. Chen, C. Richard, Y. Song, D. Brie, "Transient performance analysis of zero-attracting LMS"IEEE Signal Processing Letters, vol. 23, no. 2, pp. 1786-1790, 2016

  • J. Chen, A. O. Hero, I. Rajapakse, "Spectral identification of topological domains", Bioinformatics, vol. 32, no. 14, pp. 2151-2158, 2016.

  • J. Chen, C. Richard, J. C. M. Bermudez, "Re-weighted nonnegative least-mean-square algorithm and convergence analysis" Signal Processing, vol. 128, pp. 131-141, 2016.  

  • J. Ni, J. Yang, J. Chen (corr. author), C. Richard, J. C. M. Bermudez, "Stochastic behavior of the nonnegative least-mean-fourth algorithm for stationary Gaussian inputs and slow learning", Signal Processing,  vol. 128, pp. 18-27, 2016.

  • J. Ni, J. Chen, X. Chen, "Diffusion sign-error LMS algorithm: Formulation and stochastic behavior analysis",  Signal Processing, vol. 128, pp. 142-149, 2016.

2015

  • H. Chen*, J. Chen* (equivalent contribution), L. Muir, S. Ronquist, W. Meixner, M. Ljungman, T. Ried, S. Smale, I. Rajapakse, "Functional organization of the human 4D nucleome", Proceedings of National Academy of Sciences (PNAS).  vol. 112, no. 26, pp. 8002-8007 Jun. 2015.   [pdf1], [pdf2]

  • J. Chen, C. Richard, A. H. Sayed, "Diffusion LMS over multitask networks",  IEEE Transactions on Signal Processing, vol. 63, no. 11, pp. 2733-2748, Jun. 2015.   [pdf]

  • H. Chen, N. Comment*, J. Chen* (equivalent contribution), S. Ronguist, T. Ried, A. Hero, I. Rajapakse, "Chromosome honformation of human fibroblasts grown in 3-dimensional spheroids", Nucleome. vol. 6, no. 1, pp. 55-65, Jan. 2015.   [pdf]

  • T. Wang, J. Chen (corr. author), P. Honeine, H. Snoussi, "Abnormal event detection via multi-kernel learning for distributed camera networks", International Journal of Distributed Sensor Networks, pp. 989450, Dec. 2015.   [pdf]

2014

  • J. Chen, C. Richard, A. H. Sayed"Multitask diffusion adaptation over networks". IEEE Transactions on Signal Processing, vol. 62, no. 16, pp.4129-4144, Aug. 2014.   [pdf] 

  • J. Chen, C. Richard and P. Honeine, "Nonlinear estimation of material abundances in hyperspectral images with  ℓ1--norm spatial segularization". IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 5, pp. 2654-2665, May 2014.   [pdf] 

  • J. Chen, C. Richard, J. C. M. Bermudez, and P. Honeine. "Variants of non-negative least-mean-square algorithm and convergence analysis". IEEE Transactions on Signal Processing, vol. 62, no. 15, pp. 3990-4005, Aug. 2014.   [pdf] 

  • J. Chen, J. C. M. Bermudez and C. Richard. "Steady-state performance of non-negative least-mean-square algorithm and its variants".  IEEE Signal Processing Letters, vol. 21, no. 8, pp. 928-932. Aug. 2014.   [pdf]  

  • W. Gao, J. Chen, C. Richard and J. Huang, "Online dictionary learning for kernel LMS".   IEEE Transactions on Signal Processing, vol. 62, no.11, pp. 2765-2777, Jun. 2014.   [pdf]  

2013

  • J. Chen, C. Richard and P. Honeine, "Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model". IEEE Transactions on Signal Processing, vol. 61, no. 2, pp. 480-492, Jan. 2013.   [pdf]  

  • T. Wang, J. Chen, Y. Zhou, H. Snoussi, "Online least squares one-class support vector machines-based abnormal visual event detection”.  Sensors, vol. 13, no. 12, pp. 17130-17155, Dec. 2013.   [pdf]  

  • B. Liu, B. Fang, Z. Huang and J. Chen, Z. Huang, X. He, "Large margin subspace learning for feature selection", Pattern Recognition, vol. 46, no. 10, pp. 2798-2806.  Oct. 2013.   [pdf]

  • T. Wang, J. Chen, Y. Zhou, H. Snoussi, "Online detection of abnormal events in video streams".  Journal of Electrical and Computer Engineering, vol. 2013, pp. 837275, Nov. 2013.   [pdf]

2011

  • J. Chen, C. Richard, J. C. M. Bermudez, and P. Honeine. "Nonnegative least-mean-square algorithm". IEEE Transactions on Signal Processing, vol. 59, no. 11, pp. 5525-5235, Nov. 2011.   [pdf]

2010

  • P. Honeine, C. Richard, J. C. M. Bermudez, J. Chen and H. Snoussi, "A decentralized approach for nonlinear prediction of time series data in sensor networks. EURASIP Journal on Wireless Communications and Networking, special issue on Theoretical and algorithmic foundations of wireless adhoc and sensor networks, pp. 627372, Jun. 2010.   [pdf]

2008

  • J. Chen and B. Vidhyacharan, "Error probability distribution and density functions for Rayleigh and Rician fading channels with diversity", International Journal of Wireless Information Networks, vol. 15, no. 1, pp.53-60, Mar. 2008.   [pdf]

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