Error Probability Distribution and Density Functions for Rayleigh and Rician Fading Channels with Diversity. - Jie Chen 022; Vidhyacharan Bhaskar (Int. J. Wirel. Inf. Networks, 2008)

System identification under non-negativity constraints. - Jie Chen 022; Cédric Richard; Paul Honeine; Henri Lantéri; Céline Theys (EUSIPCO, 2010)

A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks. - Paul Honeine; Cédric Richard; José Carlos M. Bermudez; Jie Chen 022; Hichem Snoussi (EURASIP J. Wirel. Commun. Netw., 2010)

A modified non-negative LMS algorithm and its stochastic behavior analysis. - Jie Chen 022; Cédric Richard; José Carlos M. Bermudez; Paul Honeine (ACSCC, 2011)

A novel kernel-based nonlinear unmixing scheme of hyperspectral images. - Jie Chen 022; Cédric Richard; Paul Honeine (ACSCC, 2011)

Online system identification under non-negativity and ℓ1-norm constraints algorithm and weight behavior analysis. - Jie Chen 022; Cédric Richard; Henri Lantéri; Céline Theys; Paul Honeine (EUSIPCO, 2011)

Nonnegative Least-Mean-Square Algorithm. - Jie Chen 022; Cédric Richard; José Carlos M. Bermudez; Paul Honeine (IEEE Trans. Signal Process., 2011)

Prediction of rain attenuation series based on discretized spectral model. - Jie Chen 022; Cédric Richard; Paul Honeine; Jean-Yves Tourneret (IGARSS, 2012)

Nonlinear unmixing of hyperspectral images based on multi-kernel learning. - Jie Chen 022; Cédric Richard; Paul Honeine (WHISPERS, 2012)

Performance analysis of diffusion LMS in multitask networks. - Jie Chen 022; Cédric Richard (CAMSAP, 2013)

Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm. - Jie Chen 022; Cédric Richard; José Carlos M. Bermudez; Paul Honeine (EUSIPCO, 2013)

Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. - Jie Chen 022; Cédric Richard; André Ferrari; Paul Honeine (ICASSP, 2013)

Kernel LMS algorithm with forward-backward splitting for dictionary learning. - Wei Gao 021; Jie Chen 022; Cédric Richard; Jianguo Huang; Rémi Flamary (ICASSP, 2013)

Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model. - Jie Chen 022; Cédric Richard; Paul Honeine (WHISPERS, 2013)

Online Detection of Abnormal Events in Video Streams. - Tian Wang 002; Jie Chen 022; Hichem Snoussi (J. Electr. Comput. Eng., 2013)

Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection. - Tian Wang 002; Jie Chen 022; Yi Zhou 011; Hichem Snoussi (Sensors, 2013)

Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model. - Jie Chen 022; Cédric Richard; Paul Honeine (IEEE Trans. Signal Process., 2013)

System identification under non-negativity constraints - Applications in adaptive filtering and hyperspectral image analysis. (Indentification de système sous la contrainte de non-négativité - Applications dans filtrage adaptatif et analyse dimage hyperspectrale). - Jie Chen 022 (2013)

Convergence analysis of kernel LMS algorithm with pre-tuned dictionary. - Jie Chen 022; Wei Gao 021; Cédric Richard; José Carlos M. Bermudez (ICASSP, 2014)

Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization. - Jie Chen 022; Cédric Richard; Alfred O. Hero III (ICASSP, 2014)

Diffusion LMS for clustered multitask networks. - Jie Chen 022; Cédric Richard; Ali H. Sayed (ICASSP, 2014)

Diffusion LMS for multitask problems with overlapping hypothesis subspaces. - Jie Chen 022; Cédric Richard; Alfred O. Hero III; Ali H. Sayed (MLSP, 2014)

Steady-State Performance of Non-Negative Least-Mean-Square Algorithm and Its Variants. - Jie Chen 022; José Carlos M. Bermudez; Cédric Richard (IEEE Signal Process. Lett., 2014)

Nonlinear Estimation of Material Abundances in Hyperspectral Images With ℓ1-Norm Spatial Regularization. - Jie Chen 022; Cédric Richard; Paul Honeine (IEEE Trans. Geosci. Remote. Sens., 2014)

Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis. - Jie Chen 022; Cédric Richard; José Carlos M. Bermudez; Paul Honeine (IEEE Trans. Signal Process., 2014)

Multitask Diffusion Adaptation Over Networks. - Jie Chen 022; Cédric Richard; Ali H. Sayed (IEEE Trans. Signal Process., 2014)

Online Dictionary Learning for Kernel LMS. - Wei Gao 021; Jie Chen 022; Cédric Richard; Jianguo Huang (IEEE Trans. Signal Process., 2014)

Diffusion adaptation over networks with kernel least-mean-square. - Wei Gao 021; Jie Chen 022; Cédric Richard; Jianguo Huang (CAMSAP, 2015)

Adaptive clustering for multitask diffusion networks. - Jie Chen 022; Cédric Richard; Ali H. Sayed (EUSIPCO, 2015)

Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary. - Wei Gao 021; Jie Chen 022; Cédric Richard; José Carlos M. Bermudez; Jianguo Huang (ICASSP, 2015)

Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks. - Tian Wang 002; Jie Chen 022; Paul Honeine; Hichem Snoussi (Int. J. Distributed Sens. Networks, 2015)

Diffusion LMS Over Multitask Networks. - Jie Chen 022; Cédric Richard; Ali H. Sayed (IEEE Trans. Signal Process., 2015)

Group diffusion LMS. - Jie Chen 022; Shang-Kee Ting; Cédric Richard; Ali H. Sayed (ICASSP, 2016)

Diffusion LMS over multitask networks with noisy links. - Roula Nassif; Cédric Richard; Jie Chen 022; André Ferrari; Ali H. Sayed (ICASSP, 2016)

Robust nonlinear unmixing of hyperspectral images with a linear-mixture/nonlinear-fluctuation model. - Jie Chen 022; Cédric Richard (IGARSS, 2016)

Spectral identification of topological domains. - Jie Chen 022; Alfred O. Hero III; Indika Rajapakse (Bioinform., 2016)

Reweighted nonnegative least-mean-square algorithm. - Jie Chen 022; Cédric Richard; José Carlos M. Bermudez (Signal Process., 2016)

Diffusion sign-error LMS algorithm: Formulation and stochastic behavior analysis. - Jingen Ni; Jie Chen 022; Xiaoping Chen (Signal Process., 2016)

Stochastic behavior of the nonnegative least mean fourth algorithm for stationary Gaussian inputs and slow learning. - Jingen Ni; Jian Yang; Jie Chen 022; Cédric Richard; José Carlos M. Bermudez (Signal Process., 2016)

Transient Performance Analysis of Zero-Attracting LMS. - Jie Chen 022; Cédric Richard; Yingying Song; David Brie (IEEE Signal Process. Lett., 2016)

A graph diffusion LMS strategy for adaptive graph signal processing. - Roula Nassif; Cédric Richard; Jie Chen 022; Ali H. Sayed (ACSSC, 2017)

Online deconvolution for pushbroom hyperspectral imaging systems. - Yingying Song; El-Hadi Djermoune; Jie Chen 022; Cédric Richard; David Brie (CAMSAP, 2017)

Internal Transfer Learning for Improving Performance in Human Action Recognition for Small Datasets. - Tian Wang 002; Yang Chen 030; Mengyi Zhang; Jie Chen 022; Hichem Snoussi (IEEE Access, 2017)

Adaptation and learning over networks for nonlinear system modeling. - Simone Scardapane; Jie Chen 022; Cédric Richard (CoRR, 2017)

Multitask Diffusion Adaptation Over Networks With Common Latent Representations. - Jie Chen 022; Cédric Richard; Ali H. Sayed (IEEE J. Sel. Top. Signal Process., 2017)

Kernel Least Mean p-Power Algorithm. - Wei Gao 021; Jie Chen 022 (IEEE Signal Process. Lett., 2017)

Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications. - Sijia Liu 001; Jie Chen 022; Pin-Yu Chen; Alfred O. Hero III (AISTATS, 2018)

Distributed Optimization of Quadratic Costs with a Group-Sparsity Regularization Via PDMM. - Kangwei Hu; Danqi Jin; Wen Zhang 002; Jie Chen 022 (APSIPA, 2018)

Convex Combination of Diffusion Strategies Over Distributed Networks. - Danqi Jin; Jie Chen 022; Jingdong Chen (APSIPA, 2018)

Superpixel construction for hyperspectral unmixing. - Zeng Li 001; Jie Chen 022; Susanto Rahardja (EUSIPCO, 2018)

Non-intrusive fingerprints extraction from hyperspectral imagery. - Longbin Yan; Jie Chen 022 (EUSIPCO, 2018)

Zeroth-Order Diffusion Adaptation Over Networks. - Jie Chen 022; Sijia Liu 001; Pin-Yu Chen (ICASSP, 2018)

Adaptive Parameters Adjustment for Group Reweighted Zero-Attracting LMS. - Danqi Jin; Jie Chen 022; Cédric Richard; Jingdong Chen (ICASSP, 2018)

Distributed Diffusion Adaptation Over Graph Signals. - Roula Nassif; Cédric Richard; Jie Chen 022; Ali H. Sayed (ICASSP, 2018)

Spatially Regularzied Sparsecem for Target Detection in Hyperspectral Images. - Xiaoli Yang; Zeng Li 001; Jie Chen 022 (IGARSS, 2018)

A Dataset with Ground-Truth for Hyperspectral Unmixing. - Min Zhao; Jie Chen 022 (IGARSS, 2018)

Hyperspectral Target Detection Based on a Spatially Regularized Sparse Representation. - Xiaoli Yang; Jie Chen 022; Yi Zhang (WCSP, 2018)

Hyperspectral Image Classification VIA a Joint Sparsity and Spatial Correlation Model. - Xiaoli Yang; Zeng Li 001; Jie Chen 022; Yi Zhang (WCSP, 2018)

Steady-state and stability analyses of diffusion sign-error LMS algorithm. - Ye Gao; Jingen Ni; Jie Chen 022; Xiaoping Chen (Signal Process., 2018)

Model-driven online parameter adjustment for zero-attracting LMS. - Danqi Jin; Jie Chen 022; Cédric Richard; Jingdong Chen (Signal Process., 2018)

Generalized Combined Nonlinear Adaptive Filters for Nonlinear Acoustic Echo Cancellation. - Wenxia Lu; Lijun Zhang 004; Jie Chen 022; Jingdong Chen (APSIPA, 2019)

Non-Destructive Prediction of Pork Meat Degradation using a Stacked Autoencoder Classifier on Hyperspectral Images. - B. B. Gallo; Sérgio J. M. de Almeida; José C. M. Bermudez; Jie Chen 022; Cédric Richard (EUSIPCO, 2019)

Low-rank Matrix Approximation Based on Intermingled Randomized Decomposition. - Maboud F. Kaloorazi; Jie Chen 022 (ICASSP, 2019)

Robust Sparse Multichannel Active Noise Control. - Jingli Xie; Danqi Jin; Wen Zhang 002; Xiao-Lei Zhang 001; Jie Chen 022; DeLiang Wang (ICASSP, 2019)

Performance Analysis of Diffusion LMS for Cyclostationary White Non-Gaussian Inputs. - Wei Gao 021; Jie Chen 022 (IEEE Access, 2019)

Transient Performance Analysis of Zero-Attracting Gaussian Kernel LMS Algorithm With Pre-Tuned Dictionary. - Wei Gao 021; Jie Chen 022 (IEEE Access, 2019)

How do goal and product knowledge specificity influence online channel choice? A polynomial regression analysis. - Jie Chen 022; Huiling Wang; Wei Gao 021 (Electron. Commer. Res. Appl., 2019)

Nonlinear Unmixing of Hyperspectral Data via Deep Autoencoder Networks. - Mou Wang; Min Zhao; Jie Chen 022; Susanto Rahardja (IEEE Geosci. Remote. Sens. Lett., 2019)

Kernel-Based Nonlinear Spectral Unmixing with Dictionary Pruning. - Zeng Li 001; Jie Chen 022; Susanto Rahardja (Remote. Sens., 2019)

A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing. - Minglei Li; Fei Zhu 001; Alan J. X. Guo; Jie Chen 022 (Remote. Sens., 2019)

Online Deconvolution for Industrial Hyperspectral Imaging Systems. - Yingying Song; El-Hadi Djermoune; Jie Chen 022; Cédric Richard; David Brie (SIAM J. Imaging Sci., 2019)

Learning Combination of Graph Filters for Graph Signal Modeling. - Fei Hua 001; Cédric Richard; Jie Chen 022; Haiyan Wang 002; Pierre Borgnat; Paulo Gonçalves 001 (IEEE Signal Process. Lett., 2019)

Randomized Truncated Pivoted QLP Factorization for Low-Rank Matrix Recovery. - Maboud Farzaneh Kaloorazi; Jie Chen 022 (IEEE Signal Process. Lett., 2019)

Recursive Variable Span Linear Filter for Noise Reduction. - Yingke Zhao; Jie Chen 022; Jingdong Chen (IEEE Signal Process. Lett., 2019)

Sparse-SpatialCEM for Hyperspectral Target Detection. - Xiaoli Yang; Jie Chen 022; Zhe He 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

A Laboratory-Created Dataset With Ground Truth for Hyperspectral Unmixing Evaluation. - Min Zhao; Jie Chen 022; Zhe He 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Online Graph-Based Change Point Detection in Multiband Image Sequences. - R. A. Borsoi; Cédric Richard; André Ferrari; Jie Chen 022; José Carlos M. Bermudez (EUSIPCO, 2020)

Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method. - Haoyuan Cai; Maboud F. Kaloorazi; Jie Chen 022; Wei Chen 016; Cédric Richard (EUSIPCO, 2020)

Distributed Wave-Domain Active Noise Control Based on the Diffusion Strategy. - Yuchen Dong; Jie Chen 022; Wen Zhang 002 (ICASSP, 2020)

Proximal Multitask Learning Over Distributed Networks with Jointly Sparse Structure. - Danqi Jin; Jie Chen 022; Cédric Richard; Jingdong Chen (ICASSP, 2020)

Low-Rank Approximation of Matrices Via A Rank-Revealing Factorization with Randomization. - Maboud Farzaneh Kaloorazi; Jie Chen 022 (ICASSP, 2020)

Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution. - Xiuheng Wang; Jie Chen 022; Cédric Richard; David Brie (ICASSP, 2020)

Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data. - Fei Zhu 001; Paul Honeine; Jie Chen 022 (ICASSP, 2020)

Hyperspectral Unmixing Via Plug-And-Play Priors. - Xiuheng Wang; Min Zhao; Jie Chen 022 (ICIP, 2020)

Random Fourier Features Multi-Kernel LMS Algorithm. - Wei Gao 021; Meiru Song; Jie Chen 022; Lingling Zhang 003 (ICSPCC, 2020)

Distributed Principal Component Analysis Based on Randomized Low-Rank Approximation. - Xinjue Wang; Jie Chen 022 (ICSPCC, 2020)

Variance Reduced Diffusion Adaptation For Online Learning Over Networks. - Mengfei Zhang; Danqi Jin; Jie Chen 022 (ICSPCC, 2020)

Sparse Spectral Unmixing of Hyperspectral Images using Expectation-Propagation. - Zeng Li 001; Yoann Altmann; Jie Chen 022; Steve McLaughlin 001; Susanto Rahardja (VCIP, 2020)

A Multi-Model Fusion Framework for NIR-to-RGB Translation. - Longbin Yan; Xiuheng Wang; Min Zhao; Shumin Liu; Jie Chen 022 (VCIP, 2020)

Extending CCSDS 123.0-B-1 for Lossless 4D Image Compression. - Panpan Zhang; Xiuheng Wang; Tiande Gao; Zhenfu Feng; Jie Chen 022 (VCIP, 2020)

CNN-Based Anomaly Detection For Face Presentation Attack Detection With Multi-Channel Images. - Yuge Zhang; Min Zhao; Longbin Yan; Tiande Gao; Jie Chen 022 (VCIP, 2020)

Multitask learning over graphs. - Roula Nassif; Stefan Vlaski; Cédric Richard; Jie Chen 022; Ali H. Sayed (CoRR, 2020)

Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors. - Min Zhao; Tiande Gao; Jie Chen 022; Wei Chen 016 (CoRR, 2020)

A 2020 perspective on "How do goal and product knowledge specificity influence online channel choice? A polynomial regression analysis". - Jie Chen 022; Huiling Wang; Wei Gao 021 (Electron. Commer. Res. Appl., 2020)

Deep learning methods for solving linear inverse problems: Research directions and paradigms. - Yanna Bai; Wei Chen 016; Jie Chen 022; Weisi Guo (Signal Process., 2020)

Generalized combined nonlinear adaptive filters: From the perspective of diffusion adaptation over networks. - Wenxia Lu; Lijun Zhang 004; Jie Chen 022; Jingdong Chen (Signal Process., 2020)

Multitask diffusion affine projection sign algorithm and its sparse variant for distributed estimation. - Jingen Ni; Yanan Zhu; Jie Chen 022 (Signal Process., 2020)

Tensor Denoising Using Low-Rank Tensor Train Decomposition. - Xiao Gong; Wei Chen 016; Jie Chen 022; Bo Ai 001 (IEEE Signal Process. Lett., 2020)

Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning. - Roula Nassif; Stefan Vlaski; Cédric Richard; Jie Chen 022; Ali H. Sayed (IEEE Signal Process. Mag., 2020)

Distributed Wave-Domain Active Noise Control Based on the Diffusion Adaptation. - Yuchen Dong; Jie Chen 022; Wen Zhang 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Transient Analysis of Signed LMS Algorithms With Cyclostationary Colored Gaussian Inputs. - Wei Gao 021; Jie Chen 022 (IEEE Trans. Circuits Syst., 2020)

Tracking Analysis of Gaussian Kernel Signed Error Algorithm for Time-Variant Nonlinear Systems. - Wei Gao 021; Meiru Song; Jie Chen 022 (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Stochastic Analysis of Diffusion Dual Sign Algorithm for Cyclostationary White Gaussian Inputs and Nonstationary System. - Wei Gao 021; Yi Xu; Jie Chen 022 (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Reconstruction of Hyperspectral Data From RGB Images With Prior Category Information. - Longbin Yan; Xiuheng Wang; Min Zhao; Maboud F. Kaloorazi; Jie Chen 022; Susanto Rahardja (IEEE Trans. Computational Imaging, 2020)

Convex Combination of Diffusion Strategies Over Networks. - Danqi Jin; Jie Chen 022; Cédric Richard; Jingdong Chen; Ali H. Sayed (IEEE Trans. Signal Inf. Process. over Networks, 2020)

A Low-Rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising. - Xiao Gong; Wei Chen 016; Jie Chen 022 (IEEE Trans. Signal Process., 2020)

Online Proximal Learning Over Jointly Sparse Multitask Networks With $ ell _{ infty, 1}$ Regularization. - Danqi Jin; Jie Chen 022; Cédric Richard; Jingdong Chen (IEEE Trans. Signal Process., 2020)

Affine Combination of Diffusion Strategies Over Networks. - Danqi Jin; Jie Chen 022; Cédric Richard; Jingdong Chen; Ali H. Sayed (IEEE Trans. Signal Process., 2020)

Efficient Low-Rank Approximation of Matrices Based on Randomized Pivoted Decomposition. - Maboud F. Kaloorazi; Jie Chen 022 (IEEE Trans. Signal Process., 2020)

Variational Autoencoders for Hyperspectral Unmixing with Endmember Variability. - Shuaikai Shi; Min Zhao; Lijun Zhang 004; Jie Chen 022 (ICASSP, 2021)

A TTSVD-Enhanced Fast and Accurate Channel Estimation Method for Dual-Polarized Massive MIMO Systems. - Xiao Gong; Wei Chen 016; Xuying Chen; Jie Chen 022; Bo Ai 001 (ICSPCC, 2021)

An Efficient Randomized Low-Rank Matrix Factorization with Application to Robust PCA. - Maboud F. Kaloorazi; Jie Chen 022; Fei Li; Dan Wu (ICSPCC, 2021)

A Coarse-to-Fine Object Detection Framework for High-Resolution Images with Sparse Objects. - Jinyan Liu; Longbin Yan; Jie Chen 022 (MLSP, 2021)

A QLP Decomposition via Randomization. - Maboud F. Kaloorazi; Jie Chen 022; Rodrigo C. de Lamare (CoRR, 2021)

A model-based variable step-size strategy for proximal multitask diffusion LMS algorithm. - Yuge Zhang; Danqi Jin; Jie Chen 022 (Digit. Signal Process., 2021)

A family of normalized dual sign algorithms. - Yulian Zong; Jingen Ni; Jie Chen 022 (Digit. Signal Process., 2021)

Hyperspectral image shadow compensation via cycle-consistent adversarial networks. - Min Zhao; Longbin Yan; Jie Chen 022 (Neurocomputing, 2021)

LSTM-DNN Based Autoencoder Network for Nonlinear Hyperspectral Image Unmixing. - Min Zhao; Longbin Yan; Jie Chen 022 (IEEE J. Sel. Top. Signal Process., 2021)

Hyperspectral Shadow Removal via Nonlinear Unmixing. - Min Zhao; Jie Chen 022; Susanto Rahardja (IEEE Geosci. Remote. Sens. Lett., 2021)

Wave-domain active noise control over distributed networks of multi-channel nodes. - Yuchen Dong; Jie Chen 022; Wen Zhang 002 (Signal Process., 2021)

Selective partial-update augmented complex-valued LMS algorithm and its performance analysis. - Zhu Qing; Jingen Ni; Zhe Li 007; Jie Chen 022 (Signal Process., 2021)

A family of affine projection-type least lncosh algorithms and their step-size optimization. - Yiwei Xing; Jingen Ni; Jie Chen 022 (Signal Process., 2021)

Online Construction of Variable Span Linear Filters Using a Fixed-Point Approach. - Haoyuan Cai; Yingke Zhao; Jie Chen 022; Wei Chen 016; Maboud F. Kaloorazi (IEEE Signal Process. Lett., 2021)

Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs. - Wei Gao 021; Jie Chen 022; Cédric Richard (IEEE Signal Process. Lett., 2021)

Object Detection in Hyperspectral Images. - Longbin Yan; Min Zhao; Xiuheng Wang; Yuge Zhang; Jie Chen 022 (IEEE Signal Process. Lett., 2021)

Multichannel Iterative Noise Reduction Filters in the Short-Time-Fourier-Transform Domain Based on Kronecker Product Decomposition. - Xianghui Wang; Jie Chen 022; Xiaoyi Chen; Jing Guo; Qian Xiang (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Steady-State Mean-Square Error Performance Analysis of the Tensor LMS Algorithm. - Ningning Zhang; Jingen Ni; Jie Chen 022; Zhe Li 007 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Online Generalized Eigenvectors Extraction Via a Fixed-Point Approach. - Haoyuan Cai; Maboud Farzaneh Kaloorazi; Jie Chen 022 (IEEE Trans. Signal Process., 2021)

Projection-Based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices. - Maboud F. Kaloorazi; Jie Chen 022 (IEEE Trans. Signal Process., 2021)

Bias-Compensated Sign Algorithm for Noisy Inputs and Its Step-Size Optimization. - Jingen Ni; Ye Gao; Xu Chen; Jie Chen 022 (IEEE Trans. Signal Process., 2021)

Zeroth-Order Diffusion Adaptive Filter Over Networks. - Mengfei Zhang; Danqi Jin; Jie Chen 022; Jingen Ni (IEEE Trans. Signal Process., 2021)

Deep Image Fusion Accounting for Inter-Image Variability. - Xiuheng Wang; Ricardo Augusto Borsoi; Cédric Richard; Jie Chen 022 (IEEECONF, 2022)

Transient Analysis of Clustered Multitask Diffusion RLS Algorithm. - Wei Gao 021; Jie Chen 022; Cédric Richard; Wentao Shi 001; Qunfei Zhang (ICASSP, 2022)

Hyperspectral Image Super-Resolution with Deep Priors and Degradation Model Inversion. - Xiuheng Wang; Jie Chen 022; Cédric Richard (ICASSP, 2022)

Constrained Energy Minimization with a DNN Detector. - Xiaoli Yang; Min Zhao; Shuaikai Shi; Jie Chen 022 (IGARSS, 2022)

Hyperspectral Unmixing Powered by Deep Image Priors and Denoising Regularization. - Min Zhao; Jie Chen 022 (IGARSS, 2022)

Transient Analysis of Diffusion Recursive Least Squares via Signed Error Algorithm for Cyclostationary Colored Inputs. - Wei Gao 021; Yi Xu; Jie Chen 022; Cédric Richard (MLSP, 2022)

DB-GAN: A Low Contrast Image Enhancer Based on NIR-RGB Fusion. - Linruize Tang; Longbin Yan; Jie Chen 022 (MLSP, 2022)

Robust Manifold Nonnegative Tucker Factorization for Tensor Data Representation. - Jianyu Wang; Linruize Tang; Jie Chen 022; Jingdong Chen (CoRR, 2022)

Dual Complementary Dynamic Convolution for Image Recognition. - Longbin Yan; Yunxiao Qin; Shumin Liu; Jie Chen 022 (CoRR, 2022)

Block-sparse sign algorithm and its performance analysis. - Yifan Wu; Zhu Qing; Jingen Ni; Jie Chen 022 (Digit. Signal Process., 2022)

Blind Modulation Classification Under Uncertain Noise Conditions: A Multitask Learning Approach. - Jiansen Qiao; Wei Chen 016; Jie Chen 022; Bo Ai 001 (IEEE Commun. Lett., 2022)

A Deep Joint Network for Multispectral Demosaicking Based on Pseudo-Panchromatic Images. - Shumin Liu; Yuge Zhang; Jie Chen 022; Keng Pang Lim; Susanto Rahardja (IEEE J. Sel. Top. Signal Process., 2022)

Multiscale-Superpixel-Based SparseCEM for Hyperspectral Target Detection. - Xiaoli Yang; Min Zhao; Tiande Gao; Jie Chen 022; Jie Zhang (IEEE Geosci. Remote. Sens. Lett., 2022)

Hyperspectral Unmixing via Nonnegative Matrix Factorization With Handcrafted and Learned Priors. - Min Zhao; Tiande Gao; Jie Chen 022; Wei Chen 016 (IEEE Geosci. Remote. Sens. Lett., 2022)

Perceptual Loss-Constrained Adversarial Autoencoder Networks for Hyperspectral Unmixing. - Min Zhao; Mou Wang; Jie Chen 022; Susanto Rahardja (IEEE Geosci. Remote. Sens. Lett., 2022)

An improved mean-square performance analysis of the diffusion least stochastic entropy algorithm. - Zhu Qing; Jingen Ni; Zhe Li 007; Jie Chen 022 (Signal Process., 2022)

Transient Performance Analysis of the $ ell _1$-RLS. - Wei Gao 021; Jie Chen 022; Cédric Richard; Wentao Shi 001; Qunfei Zhang (IEEE Signal Process. Lett., 2022)

Deep Constrained Energy Minimization for Hyperspectral Target Detection. - Xiaoli Yang; Min Zhao; Shuaikai Shi; Jie Chen 022 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation. - Xiuheng Wang; Jie Chen 022; Qi Wei 002; Cédric Richard (IEEE Trans. Circuits Syst. Video Technol., 2022)

Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation. - Zeng Li 001; Yoann Altmann; Jie Chen 022; Stephen McLaughlin 001; Susanto Rahardja (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Generative Model for Spatial-Spectral Unmixing With Multiple Endmember Priors. - Shuaikai Shi; Lijun Zhang 004; Yoann Altmann; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2022)

Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability. - Shuaikai Shi; Min Zhao; Lijun Zhang 004; Yoann Altmann; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2022)

A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability. - Min Zhao; Shuaikai Shi; Jie Chen 022; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2022)

A Plug-and-Play Priors Framework for Hyperspectral Unmixing. - Min Zhao; Xiuheng Wang; Jie Chen 022; Wei Chen 016 (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Unmixing for Additive Nonlinear Models With a 3-D-CNN Autoencoder Network. - Min Zhao; Mou Wang; Jie Chen 022; Susanto Rahardja (IEEE Trans. Geosci. Remote. Sens., 2022)

Distributed Learning with Convex SUM-of -Non-Convex Objective. - Mengfei Zhang; Jie Chen 022; Cédric Richard (CAMSAP, 2023)

Distributed Pressure Matching for Personal Sound Zone Control Using Diffusion Adaptation. - Mengfei Zhang; Junqing Zhang; Jie Chen 022; Cédric Richard (CAMSAP, 2023)

Change Point Detection with Neural Online Density-Ratio Estimator. - Xiuheng Wang; Ricardo Augusto Borsoi; Cédric Richard; Jie Chen 022 (ICASSP, 2023)

An Alternative to Bilinear and Nearest-Neighbour Enlarging for Monitor Displays. - Shumin Liu; Jie Chen 022; Susanto Rahardja (ICIP, 2023)

Adaptive Random Fourier Features Kernel LMS. - Wei Gao 021; Jie Chen 022; Cédric Richard; Wentao Shi 001; Qunfei Zhang (ICSPCC, 2023)

Tobacco Impurities Detection with Deep Image Segmentation Method on Hyperspectral Imaging. - Linruize Tang; Min Zhao; Shuaikai Shi; Jie Chen 022; Jinwei Li 002; Qiang Li; Rengang Li (ICSPCC, 2023)

Deep-RX for Hyperspectral Anomaly Detection. - Yingjie Song; Shuaikai Shi; Jie Chen 022 (IGARSS, 2023)

Efficient Blind Hyperspectral Unmixing with Non-Local Spatial Information Based on Swin Transformer. - Yun Wang; Shuaikai Shi; Jie Chen 022 (IGARSS, 2023)

Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition. - Maboud F. Kaloorazi; Kai Liu; Jie Chen 022; Rodrigo C. de Lamare; Susanto Rahardja (IEEE Access, 2023)

A Coarse to Fine Framework for Object Detection in High Resolution Image. - Jinyan Liu; Jie Chen 022 (CoRR, 2023)

Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency. - Shuaikai Shi; Lijun Zhang 004; Yoann Altmann; Jie Chen 022 (CoRR, 2023)

Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model. - Shuaikai Shi; Lijun Zhang 004; Jie Chen 022 (CoRR, 2023)

Distributed pressure matching strategy using diffusion adaptation. - Mengfei Zhang; Junqing Zhang; Jie Chen 022; Cédric Richard (CoRR, 2023)

Performance analysis of the augmented complex-valued least mean kurtosis algorithm. - Zhu Qing; Jingen Ni; Zhe Li 007; Engin Cemal Mengüç; Jie Chen 022; Danilo P. Mandic (Signal Process., 2023)

GPU Implementation of Graph-Regularized Sparse Unmixing With Superpixel Structures. - Zeng Li 001; Jie Chen 022; Muhammad Mobeen Movania; Susanto Rahardja (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Scale-Balanced Real-Time Object Detection With Varying Input-Image Resolution. - Longbin Yan; Yunxiao Qin; Jie Chen 022 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution With Deep Priors. - Xiuheng Wang; Jie Chen 022; Cédric Richard (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Hyperspectral and Multispectral Image Fusion With Inter-Image Variability. - Xiuheng Wang; Ricardo Augusto Borsoi; Cédric Richard; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2023)

Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems. - Min Zhao; Nicolas Dobigeon; Jie Chen 022 (IEEE Trans. Image Process., 2023)

An ESPRIT-Based Supervised Channel Estimation Method Using Tensor Train Decomposition for mmWave 3-D MIMO-OFDM Systems. - Xiao Gong; Wei Chen 016; Lei Sun 012; Jie Chen 022; Bo Ai 001 (IEEE Trans. Signal Process., 2023)

Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods. - Jie Chen 022; Min Zhao; Xiuheng Wang; Cédric Richard; Susanto Rahardja (IEEE Signal Process. Mag., 2023)

Cascaded transformer U-net for image restoration. - Longbin Yan; Min Zhao; Shumin Liu; Shuaikai Shi; Jie Chen 022 (Signal Process., 2023)

Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm. - Haoyuan Cai; Maboud F. Kaloorazi; Jie Chen 022; Wei Chen 016; Cédric Richard (IEEE Trans. Veh. Technol., 2023)

Diffusion least mean kurtosis algorithm and its performance analysis. - Zhu Qing; Jingen Ni; Jie Chen 022; H. C. So (Inf. Sci., 2023)

An efficient randomized QLP algorithm for approximating the singular value decomposition. - Maboud F. Kaloorazi; Kai Liu; Jie Chen 022; Rodrigo C. de Lamare (Inf. Sci., 2023)

Edge Devices Friendly Self-Supervised Monocular Depth Estimation via Knowledge Distillation. - Wei Gao 021; Di Rao; Yang Yang 046; Jie Chen 022 (IEEE Robotics Autom. Lett., 2023)

Affine Combination of General Adaptive Filters. - Danqi Jin; Yitong Chen; Jie Chen 022; Gongping Huang (APSIPA, 2024)

Online Parameter Estimation Over Distributed Multitask Networks with a Rank-One Model. - Yitong Chen; Danqi Jin; Jie Chen 022; Cédric Richard; Wen Zhang 002; Gongping Huang; Jingdong Chen (EUSIPCO, 2024)

A Fast and Effective Golomb Code with Asymmetric Numerical System. - Shumin Liu; Jie Chen 022; Keng-Pang Lim; Susanto Rahardja (ICSPCC, 2024)

Hyperspectral Anomaly Detection with CNN-Based VAE and RX Algorithm. - Linruize Tang; Yingjie Song; Jinwei Li 002; Qiang Li; Rengang Li; Ruidong Li; Jie Chen 022 (ICSPCC, 2024)

Plug-and-Play WPE Guided by Deep Spectrum Estimation for Speech Dereverberation. - Ziye Yang; Jie Chen 022; Cédric Richard; Junjie Li (ICSPCC, 2024)

Proportional Perturbation Model for Hyperspectral Unmixing Accounting for Endmember Variability. - Wei Gao 021; Jingyu Yang; Jie Chen 022 (IEEE Geosci. Remote. Sens. Lett., 2024)

Distributed speech dereverberation using weighted prediction error. - Ziye Yang; Mengfei Zhang; Jie Chen 022 (Signal Process., 2024)

Learning Noise Adapters for Incremental Speech Enhancement. - Ziye Yang; Xiang Song 005; Jie Chen 022; Cédric Richard; Israel Cohen (IEEE Signal Process. Lett., 2024)

Integrating Data Priors to Weighted Prediction Error for Speech Dereverberation. - Ziye Yang; Wenxing Yang; Kai Xie; Jie Chen 022 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Hyperspecral Unmixing Based on Multilinear Mixing Model Using Convolutional Autoencoders. - Tingting Fang; Fei Zhu 001; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2024)

AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. - Min Zhao; Jie Chen 022; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2024)

Proportionate Total Adaptive Filtering Algorithms for Sparse System Identification. - Jingen Ni; Yiwei Xing; Zhanyu Zhu; Jie Chen 022 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm. - Wei Gao 021; Jie Chen 022; Cédric Richard (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Diffusion-Based Distributed Wave-Domain Active Noise Control With Convex Sum of Non-Convex Quadratic Costs. - Mengfei Zhang; Yuchen Dong; Jie Chen 022; Cédric Richard (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

MA-Stereo: Real-Time Stereo Matching via Multi-Scale Attention Fusion and Spatial Error-Aware Refinement. - Wei Gao 021; Yongjie Cai; Youssef Akoudad; Yang Yang 046; Jie Chen 022 (IEEE Robotics Autom. Lett., 2024)

Lightweight Self-Supervised Monocular Depth Estimation for All-Day Scenes Using Generative Adversarial Network. - Junding Zhang; Di Rao; Youssef Akoudad; Wei Gao 021; Jie Chen 022 (ICASSP, 2025)

Rank-adaptive Learning over Distributed Low-rank Networks via Online HQS Algorithm. - Yitong Chen; Danqi Jin; Jie Chen 022; Wen Zhang 002; Jingdong Chen (SSP, 2025)

A unified combination scheme for online learning and distributed optimization over networks. - Danqi Jin; Yitong Chen; Jie Chen 022; Gongping Huang (Digit. Signal Process., 2025)

Online learning over distributed low-rank networks via sequential power iteration. - Danqi Jin; Yitong Chen; Jie Chen 022; Gongping Huang (Digit. Signal Process., 2025)

Conjugate Gradient and Variance Reduction Based Online ADMM for Low-Rank Distributed Networks. - Yitong Chen; Danqi Jin; Jie Chen 022; Cédric Richard; Wen Zhang 002 (IEEE Signal Process. Lett., 2025)

SSAF-Net: A Spatial-Spectral Adaptive Fusion Network for Hyperspectral Unmixing With Endmember Variability. - Wei Gao 021; Jingyu Yang; Yu Zhang 219; Youssef Akoudad; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2025)

MSSF-Net: A Multimodal Spectral-Spatial Feature Fusion Network for Hyperspectral Unmixing. - Wei Gao 021; Yu Zhang 219; Youssef Akoudad; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2025)

Unrolling Plug-and-Play Network for Hyperspectral Unmixing. - Min Zhao; Linruize Tang; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2025)

Distributed Online Learning Over Multitask Networks With Rank-One Model. - Yitong Chen; Danqi Jin; Jie Chen 022; Cédric Richard; Wen Zhang 002; Gongping Huang; Jingdong Chen (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Anomaly Detection in Graph Signals With Complex Wavelet Packet Correlation Mining. - Xuandi Sun; Roula Nassif; Cédric Richard; Ziye Yang; Jie Chen 022; Haiyan Wang 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

Optimal Subband Adaptive Filter Over Functional Link Neural Network: Algorithms and Applications. - Jianhong Ye; Yi Yu 002; Badong Chen; Zongsheng Zheng; Jie Chen 022 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)