Peer-reviewed journal articles indexed in international databases

  1. Tian Wang, Jie Chen, Paul Honeine, Hichem Snoussi,
    Abnormal event detection via multi-kernel learning for distributed camera networks.
    International Journal of Distributed Sensor Networks 2015(Article ID 989450), 1–9.
    Hindawi, 2015.
  2. Jie Chen, Cédric Richard, José Bermudez, Paul Honeine,
    Variants of non-negative least-mean-square algorithm and convergence analysis.
    IEEE Transactions on Signal Processing 62(15), 3990–4005.
    IEEE, 2014.
  3. Jie Chen, Cédric Richard, Paul Honeine,
    Nonlinear estimation of material abundances of hyperspectral images with $ell_1$-norm spatial regularization.
    IEEE Transactions on Geoscience and Remote Sensing 52(5), 2654–2665.
    IEEE, 2014.
  4. Jie Chen, Cédric Richard, Paul Honeine,
    Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model.
    IEEE Transactions on Signal Processing 61(2), 480–492.
    IEEE, 2013.
  5. Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine,
    Non-negative least-mean-square algorithm.
    IEEE Transactions on Signal Processing 59(11), 5225–5235.
    IEEE, 2011.
  6. Paul Honeine, Cédric Richard, Hichem Snoussi, José C. M. Bermudez, Jie Chen,
    A decentralized approach for non-linear prediction of time series data in sensor networks.
    Journal on Wireless Communications and Networking Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks, 12:1–12:12.
    EURASIP, 2010.

Invited conference talks

  1. Jie Chen, Nicolas Dobigeon, Abderrahim Halimi, Paul Honeine, Cédric Richard, Jean-Yves Tourneret,
    Démélange non-linéaire d'images hyperspectrales : mythe ou réalité ?.
    3-ème colloque scientifique de la SFPT-GH, Porquerolles, France, 15--16 mai, 2014.
    2014.

Proceedings articles indexed in international databases

  1. Jie Chen, Cédric Richard, André Ferrari, Paul Honeine,
    Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression.
    Proc. 38th IEEE International Conference on Acoustics, Speech and Signal Processing, 2174–2178.
    IEEE, 2013.
  2. Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine,
    Non-stationary Analysis of the Convergence of the Non-negative Least-mean-square Algorithm.
    Proc. 21th European Conference on Signal Processing, 1–5.
    EURASIP, 2013.
  3. Jie Chen, Cédric Richard, Paul Honeine,
    Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model.
    Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing.
    IEEE, 2013.
  4. Jie Chen, Cédric Richard, Paul Honeine, Jean-Yves Tourneret,
    Prediction of Rain Attenuation Series with Discretized Spectral Model.
    Proc. IEEE International Geoscience and Remote Sensing Symposium, 2407–2410.
    IEEE, 2012.
  5. Jie Chen, Cédric Richard, Paul Honeine,
    Nonlinear unmixing of hyperspectral images based on multi-kernel learning.
    Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing.
    IEEE, 2012.
  6. Jie Chen, Cédric Richard, Henri Lantéri, Céline Theys, Paul Honeine,
    Online system identification under non-negativity and $ell_1$-norm constraints algorithm and weight behavior analysis.
    Proc. 19th European Conference on Signal Processing, 1–5.
    EURASIP, 2011.
  7. Jie Chen, Cédric Richard, Paul Honeine,
    A novel kernel-based nonlinear unmixing scheme of hyperspectral images.
    Proc. 45th Asilomar Conference on Signals, Systems, and Computers, 1898–1902.
    IEEE, 2011.
  8. Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine,
    A Modified Non-Negative LMS Algorithm and its Stochastic Behavior Analysis.
    Proc. 45th Asilomar Conference on Signals, Systems, and Computers, 542–546.
    IEEE, 2011.
  9. Jie Chen, Cédric Richard, Henri Lantéri, Céline Theys, Paul Honeine,
    A gradient based method for fully constrained least-squares unmixing of hyperspectral images.
    Proc. IEEE workshop on Statistical Signal Processing, 301–304.
    IEEE, 2011.
  10. Jie Chen, Cédric Richard, Paul Honeine, Henri Lantéri, Céline Theys,
    System identification under non-negativity constraints.
    Proc. 18th European Conference on Signal Processing, 1728–1732.
    EURASIP, 2010.
  11. Jie Chen, Cédric Richard, Paul Honeine, José C. M. Bermudez,
    Non-negative Distributed Regression for Data Inference in Wireless Sensor Networks.
    Proc. 44th Asilomar Conference on Signals, Systems, and Computers, 451–455.
    IEEE, 2010.

Unindexed proceedings articles

  1. Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine,
    Identification en ligne avec régularisation L1. Algorithme et analyse de convergence en environnement non-stationnaire.
    Actes du 24-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2013.
  2. Jie Chen, Cédric Richard, Paul Honeine,
    Un nouveau paradigme pour le démélange non-linéaire des images hyperspectrales.
    Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2011.
  3. Cédric Richard, Jie Chen, Paul Honeine, José C. M. Bermudez,
    Filtrage adaptatif avec contrainte de non-négativité. Principes de l'algorithme NN-LMS et modèle de convergence.
    Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2011.
  4. Jie Chen, Cédric Richard, Paul Honeine, Hichem Snoussi, Henri Lantéri, Céline Theys,
    Techniques d'apprentissage non-linéaires en ligne avec contraintes de positivité.
    Actes de la VI-ème Conférence Internationale Francophone d'Automatique, 1–6.
    2010.

Scientific books (or chapters)

  1. Nguyen Hoang Nguyen, Jie Chen, Cédric Richard, Paul Honeine, Céline Theys,
    Supervised nonlinear unmixing of hyperspectral images using a pre-image method.
    New Concepts in Imaging: Optical and Statistical Models, In Eds. D. Mary, C. Theys, and C. Aime, 417–437.
    EDP Sciences, 2013.