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.

  • W. Lu, L. Zhang, J. Chen, J. Chen, "Generalized Combined Nonlinear Adaptive Filters: from the Perspective of Diffusion Adaptation over Networks", 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.


  • Y. Zhao, J. Chen (corr. author), J. Chen, "Recursive variable span linear filter for noise reduction". IEEE Signal Processing Letters.

  • F. Hua, C. Richard, J. Chen, H. Wang, P. Borgnat, P. Convalves, "Learning combination of graph filters for graph signal modeling", IEEE Signal Processing Letters.

  • 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.


  • 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.

  • 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.


  • 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.


  • 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.


  • 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.


  • 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]


  • 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]  


  • 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]


  • 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]


  • 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]


  • 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]

JChomepage : Updated 25 Feb. 2015
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