Jie Chen's Homepage

Conference publications

2022

  • X. Wang, R. Borsoi, C. Richard, J. Chem, "Deep image fusion accounting for inter-image variability"Asilomar Conference on Signals, Systems and Computers (ASILOMAR), Pacific Grove (CA), USA, Nov. 2022.

  • L. Tang, L. Yan, J. Chen, "DB-GAN: A low contrast image enhancer based on NIR-RGB fusion",  IEEE International Workshop on Machine Learning for Signal Processing (MLSP),  Xi'an, China, Aug. 2022. (Student paper contest Runner-up Winner).

  • W. Gao, Y. Xu, J. Chen, C. Richard, "Transient analysis of diffusion recursive least squares via signed error algorithm for cyclostationary colored inputs", IEEE International Workshop on Machine Learning for Signal Processing (MLSP),  Xi'an, China, Aug. 2022.

  • X. Yang, M. Zhao, S. Shi, J. Chen"Constrained energy minimization with a DNN detector"IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, Jul. 2022.

  • M. Zhao, J. Chen"Hyperspectral unmixing powered by deep image priors and denoising regularization"IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, Jul. 2022.

  • X. Wang, J. Chen, C. Richard "Hyperspectral image super-resolution with deep priors and degradation model inversion", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 2022.

  • W. Gao, J. Chen, C. Richard, W. Shi, Q. Zhang "Transient analysis of clustered multitask diffusion RLS algorithm", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 2022.

2021

  • S. Shi, M. Zhao, L. Zhang, J. Chen, "Variational autoencoders for hyperspectral unmixing with endmember variability", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Canada, Jun. 2021.

  • J. Liu, L. Yan, J. Chen, "A course-to-fine object detection framework for high-resolution images with sparse objects", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Queensland, Australia, Oct. 2021.

  • M. Kaloorazi, J. Chen, R. C. DeLamare, "QLP decomposition using randomization", International Conference on Wireless Communications and Signal Processing (WCSP), Changsha, China, Oct. 2021.

  • M. Kaloorazi, J. Chen, D. Wu, F. Li, "An efficient randomized low-rank matrix factorization with application to robust PCA", IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Xi'an, China, Aug. 2021.

  • X. Gao, W. Chen, X. Chen, J. Chen, B. Ai, "A TSVD-enhanced fast and accurate channel estimation method for dual-polarized massive MIMO systems", IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Xi'an, China, Aug. 2021.

  • J. Nie, L. Yan, X. Wang, J. Chen, "A novel 3D convolutional neural network of 3D action recognition for infrared videos", International Conference on Information Communication and Signal Processing (ICICSP), Shanghai, China, Aug. 2021.

2020

  • X. Wang, M. Zhao, J. Chen, "Hyperspectral unmixing via plug-and-play prior", IEEE International Conference on Image Processing (ICIP), United Arab Emirates, Oct. 2020.

  • M. Kaloorazi, J. Chen, "Low-rank matrix approximation of matrices via a rank-revealing factorization with randomization", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 2020.

  • D. Jin, J. Chen, C. Richard, J. Chen, "Proximal multitask learning over distributed networks with jointly sparse structure", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 2020.

  • Y. Dong, J. Chen, W. Zhang, "Distributed wave-domain active noise control based on the diffusion strategy", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 2020. (Student Travel Grant).

  • X. Wang, J. Chen, C. Richard, D. Brie, "Learning spectral-spatial prior via 3DDNCNN for hyperspectral image deconvolution", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 2020.

  • F. Zhu, P. Honeine, J. Chen, "Pixel-wise linear/nonlinear nonnegative matrix factorization for unmixing of hyperspectral data", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 2020.

  • H. Cai, M. Kaloorazi, J. Chen, W. Chen, C. Richard, "Online dominant generalized eigenvector extraction via a randomized method", European Signal Processing Conference (EUSIPCO), Amsterdam, The Netherland, 2020.

  • R. Borsoi, C. Richard, A. Ferrari,  J. Chen, J. Bermudez, "Online graph-based change-point detection in multiband image sequences", European Signal Processing Conference (EUSIPCO), Amsterdam, The Netherland, 2020.

  • M. Zhang, D. Jin, J. Chen, "Variance reduced diffusion adaptation for online learning over networks", IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Macau, China, Aug. 2020 (Student paper contest 2nd Prize).

  • X.Wang, J. Chen, "Distributed Principal Component Analysis Based on Randomized Low-Rank Approximation", IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Macau, China, Aug. 2020.

  • W. Gao, M. Song, J. Chen, L. Zhang, "Random Fourier Features Multi-Kernel LMS Algorithm", IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Macau, China, Aug. 2020.

  • P. Zhang, X. Wang, T. Gao, Z. Feng, J. Chen, "Extending CCSDS 123.0-B-1 for lossless 4D image compression", IEEE International Conference on Visual Communications and Image Processing (VCIP), Macau, China, Dec. 2020.

  • Y. Zhang, M. Zhao, L. Yan, T. Gao, J. Chen, "CNN-Based anomaly detection for face presentation detection with multi-channel images", IEEE International Conference on Visual Communications and Image Processing (VCIP), Macau, China, Dec. 2020.

  • Z. Li, Y. Altmann, J. Chen, S. McLaughlin, S. Raharjda, "Sparse spectral unmixing of hyperspectral images using expectation-propagation", IEEE International Conference on Visual Communications and Image Processing (VCIP), Macau, China, Dec. 2020.

  • L. Yan, X. Wang, M. Zhao, S. Liu, J. Chen, "A Multi-Model Fusion Framework for NIR-to-RGB Transalation", IEEE International Conference on Visual Communications and Image Processing (VCIP), Macau, China, Dec. 2020 (Grand Challenge Champion).

2019

  • M. Kaloorazi, J. Chen, "Low-rank matrix approximation based on intermingled randomized decomposition", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 2019.

  • J. Xie, D. Jin, W. Zhang, X. Zhang, J. Chen, D. Wang, "Robust sparse multichannel active noise control'", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 2019.

  • B. Gallom, S. J. Melo de Almeida, J. C. Bermudez, J. Chen, C. Richard, "Non-Destructive Prediction of Pork Meat Degradation Using a Stacked Autoencoder Classifier on Hyperspectral Images", European Signal Processing Conference (EUSIPCO), A Coruna, Spain, Sep. 2019. 

  • M. Kaloorazi, J. Chen, "Randomized ULV Decomposition for Approximating Low-Rank Matrices", IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Dalian, China, Sep. 2019.

  • G. Wei, J. Chen, L. Zhang, "Diffusion Approximated Kernel Least Mean P-Power Algorithm", IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Dalian, China, Sep. 2019.

  • W. Lu, L. Zhang, J. Chen, J. Chen, "Generalized Combined Nonlinear Adaptive Filters for Nonlinear Acoustic Echo Cancellation", Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), Lanzhou, China, Nov. 2019. 

2018

  • K. Hu, D. Jin, W. Zhang,  J. Chen, "Distributed optimization of quadratic costs with a group-sparsity regularization", Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), Hawaii, U.S., Nov. 2018. 

  • D. Jin,  J. Chen, J. Chen "Convex combination of diffusion strategies of distributed networks", Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), Hawaii, U.S., Nov. 2018. 

  • Z. Li, J. Chen, S. Rahardja, "Superpixel construction for hyperspectral unmixing ", European Signal Processing Conference (EUSIPCO), Roma, Italy, Sep. 2018. 

  • L. Yan, J. Chen,  "Non-intrusive fingerprints extraction from hyperspectral imagery", European Signal Processing Conference (EUSIPCO), Roma, Italy, Sep. 2018.

  • M. Zhao, J. Chen,  "A dataset with ground-truth for hyperspectral unmixing", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, Jul. 2018.

  • X. Yang, Z. Li, J. Chen"Spatially regularized sparseCEM for target detection in hyperspectral images", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, Jul. 2018. 

  • S. Liu, J. Chen, P.-Y. Chen and A. O. Hero, "Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications,"   International Conference on Artificial Intelligence and Statistics (AISTATS), Apr. 2018.

  • J. Chen,  S. Liu, P.-Y. Chen, "Zeroth-order diffusion adaptation over networks", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, Apr. 2018.

  • D. Jin, J. Chen, C. Richard, J. Chen, "Adaptive parameters adjustment for group reweighted zero-attracting LMS'", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, Apr. 2018.

  • R. Nassif,  C. Richard, J. Chen, A. Sayed, "Distributed diffusion adaptation over graph signals", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, Apr. 2017.

2017

  • S. Jiu,  P. Chen, J. Chen, A. Hero, “Convergence Analysis of Zeroth-Order Online Alternating Direction Method of Multipliers”, NIPS Workshop on Optimization for Machine Learning, Dec. 2017.

  • R. Nassif,  C. Richard, J. Chen, A. Sayed, "A Graph Diffusion LMS Strategy for Adaptive Graph Signal Processing", Asilomar Conference on Signals, Systems and Computers (ASILOMAR), Pacific Grove (CA), USA, Nov. 2017. 

  • R. Nassif,  C. Richard, J. Chen, R. Couillet, P. Borgnat, "Filtrage LMS sur Graphe. Algorithme et Analyse", Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI), Juan-Les-Pins, France, Sep. 2017.  

  • Y. Song,  E.-H. Djermoune, J. Chen, C. Richard, D. Brie, "Déconvolution en ligne d'images hyperspectrales pour les imageurs de type pushbroom", Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI), Juan-Les-Pins, France, Sep. 2017.  

2016

  • J. Chen, C. Richard, "Robust nonlinear unmixing of hyperspectral images with a linear-mixture/nonlinear fluctuation model", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, Jul. 2016. 

  • J. Chen, S. K. Ting, C. Richard, A. H. Sayed, "Group diffusion LMS"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, Mar. 2016. 

  • R. Nassif,  C. Richard, J. Chen, A. Ferrari, A. Sayed, "Diffusion LMS over multitask networks with noisy links", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, Mar. 2016.

2015

  • J. Chen, C. Richard, A. H. Sayed, "Adaptive clustering for multitask diffusion networks"European Signal Processing Conference (EUSIPCO), Nice, France, Sep. 2015. 

  • W. Gao, J. Chen, C. Richard, J. C. M. Bermudez, J. Huang, "Convergence analysis of the augmented complex KLMS algorithm with pre-tuned dictionary", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, Apr. 2015. 

  • W. Gao, J. Chen, C. Richard, J. Huang, "Diffusion adaptation over networks with kernel least-mean-square", IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Cancun, Mexico, Dec. 2015.

  • T. Wang, J. Chen, A. Zhu, H. Snoussi, "Event analysis based on multiple video sensors for cooperative environment perception", International Conference in Informatics and Computing, Nanjing, China, Dec. 2015. 

2014

  • J. Chen, W. Gao, C. Richard, J. Huang, "Convergence analysis of kernel LMS algorithm pre-tuned dictionary", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, May 2014. 

  • J. Chen, C. Richard, A. H. Sayed, "Diffusion LMS for clustered multitask network"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, May 2014. 

  • J. Chen, C. Richard, A. O. Hero, "Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, May 2014. 

  • J. Chen, C. Richard, A. O. Hero, A. H. Sayed,  "Diffusion LMS for multitask problems with overlapping hypothesis subspaces", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Reims, France, Sep. 2014.   [pdf] 

2013

  • J. Chen, C. Richard, A. Frrari, P, Honeine, "Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, May 2013.   [pdf] 

  • W. Gao, J. Chen, C. Richard, J. Huang, R. Flamary, "Kernel LMS algorithm with forward-backward splitting for dictionary learning", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, May 2013.   [pdf]

  • J. Chen, C. Richard, P. Honeine, "Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model", IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Gainesville, US, Jun. 2013. 

  • J. Chen, C. Richard, J. C. M. Bermudez, P. Honeine, "Non-stationary analysis of the convergence of the non-negative least-mean-square algorithm", European Conference on Signal Processing (EUSIPCO), Marrakech, Morocco, Sep. 2013. 

  • J. Chen, C. Richard, "Performance analysis of diffusion LMS in multitask networks", IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, France, Dec. 2013.   [pdf] 

2012

  • J. Chen, C. Richard, P. Honeine, "Nonlinear unmixing of hyperspectral images with multi-kernel learning.", IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Shanghai, China, Jun. 2012. 

  • J. Chen, C. Richard, P. Honeine, J.-Y. Tourneret, "Prediction of rain attenuation series with discretized spectral model", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, Jul. 2012.

2011

  • J. Chen, C. Richard, P, Honeine, "A novel kernel-based nonlinear unmixing scheme of hyperspectral images", Asilomar Conference on Signals, Systems and Computers (ASILOMAR), Pacific Grove (CA), USA, Nov. 2011. 

  • J. Chen, C. Richard, J. C. M. Bermudez, P, Honeine, "A Modified non-negative LMS algorithm and its stochastic behavior analysis", Asilomar Conference on Signals, Systems and Computers (ASILOMAR), Pacific Grove (CA), USA, Nov. 2011. 

  • J. Chen, C. Richard, P, Honeine, C. Theys, H. Lanteri, "Online system identification under non-negativity and ℓ1-norm Constraints -- Algorithm and weight behavior analysis", European Conference on Signal Processing (EUSIPCO), Barcelone, Spain, Aug. 2011.   [pdf]

  • J. Chen, C. Richard, P, Honeine, C. Theys, H. Lanteri, "A gradient based method for fully constrained least-squares unmixing of hyperspectral images", IEEE Workshop on Statistical Signal Processing (SSP), Nice, France, Jun. 2011. 

  • J. Chen, C. Richard, P, Honeine, "Un nouveau paradigme pour le démélange nonlinéaire des images hyperspectrales", Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI), Bordeaux, France, Sep. 2011.   [pdf] 

  • J. Chen, C. Richard, J. C. M. Bermudez, P, Honeine, "Filtrage adatatif avec contrainte de non-négativité - principes de l'algorihtme NN-LMS et modèle de convergence", Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI), Bordeaux, France, Sep. 2011.   [pdf] 

2010

  • J. Chen, C. Richard, P, Honeine, H. Lanteri, C. Theys, "System identification under non-negativity constraints", European Conference on Signal Processing (EUSIPCO), Aalborg, Denmark, Aug. 2010.   [pdf] 

  • J. Chen, C. Richard, P, Honeine, J. C. M. Bermudez, "Non-negative distributed regression for data inference in wireless sensor networks", Asilomar Conference on Signals, Systems and Computers (ASILOMAR), Pacific Grove (CA), USA, Nov. 2010.   [pdf] 

  • J. Chen, C. Richard, P, Honeine, H. Snoussi, C. Theys, H. Lanteri, "Techniques d'apprentissage nonlineaires en ligne avec contraintes de positivité", Conférence Internationale Francophone d'Automatique (CIFA), Nancy, France, Jun. 2010. 

2009

  • C. Wang, J. Chen, W. Han, Q. Yin, W. Wang, J. Chen, "A Distributed Localization System Based on Phase Measurement for Wireless Sensor Networks", International Conference on Networks Security, Wireless Communications and Trusted Computing, Wuhan, China, Apr. 2009.

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