Jie Chen

234 papers A 1B 2C 12Misc 24Journal 151Unranked 43
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Practical Data-Driven Step-Size Selection Method for Adaptive Active Noise Control Based on Modified Meta-Learning.
IEEE Signal Process. Lett.
Luyuan Li, Xiruo Su, Dongyuan Shi, Jie Chen, Woon-Seng Gan
2026 J jnl
A Row-Sparse Tensor Decomposition-Based Approach for Fading Channel Prediction.
IEEE Wirel. Commun. Lett.
Zhiyuan Li, Mengfei Zhang, Maboud F. Kaloorazi, Jie Chen, Lingji Xu
2026 J jnl
MMM: A Unified Weakly-Supervised Anomaly Detection Framework for Multi-Distributional Data.
IEEE Trans. Knowl. Data Eng.
Xu Tan, Junqi Chen, Jiawei Yang, Jie Chen, Susanto Rahardja
2026 J jnl
Robust Distributed Cooperative Classification With Learned Compressed-Feature Diffusion.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiling Yao, Jie Chen, Jingdong Chen
2025 J jnl
A unified combination scheme for online learning and distributed optimization over networks.
Digit. Signal Process.
Danqi Jin, Yitong Chen, Jie Chen, Gongping Huang
2025 J jnl
Anomaly Detection in Graph Signals With Complex Wavelet Packet Correlation Mining.
IEEE Trans. Circuits Syst. I Regul. Pap.
Xuandi Sun, Roula Nassif, Cédric Richard, Ziye Yang, Jie Chen, Haiyan Wang
2025 J jnl
Conjugate Gradient and Variance Reduction Based Online ADMM for Low-Rank Distributed Networks.
IEEE Signal Process. Lett.
Yitong Chen, Danqi Jin, Jie Chen, Cédric Richard, Wen Zhang
2025 J jnl
Distributed Online Learning Over Multitask Networks With Rank-One Model.
IEEE Trans. Signal Inf. Process. over Networks
Yitong Chen, Danqi Jin, Jie Chen, Cédric Richard, Wen Zhang, Gongping Huang, Jingdong Chen
2025 J jnl
Hyperspectral Texture Metrology Based on Distance Measures in an Information-Theoretic Framework.
IEEE Trans. Image Process.
Rui Jian Chu, Jie Chen, Susanto Rahardja
2025 Misc conf
Lightweight Self-Supervised Monocular Depth Estimation for All-Day Scenes Using Generative Adversarial Network.
ICASSP
Junding Zhang, Di Rao, Youssef Akoudad, Wei Gao, Jie Chen
2025 J jnl
MSSF-Net: A Multimodal Spectral-Spatial Feature Fusion Network for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens.
Wei Gao, Yu Zhang, Youssef Akoudad, Jie Chen
2025 J jnl
Online learning over distributed low-rank networks via sequential power iteration.
Digit. Signal Process.
Danqi Jin, Yitong Chen, Jie Chen, Gongping Huang
2025 J jnl
Optimal Subband Adaptive Filter Over Functional Link Neural Network: Algorithms and Applications.
IEEE Trans. Circuits Syst. I Regul. Pap.
Jianhong Ye, Yi Yu, Badong Chen, Zongsheng Zheng, Jie Chen
2025 — conf
Rank-adaptive Learning over Distributed Low-rank Networks via Online HQS Algorithm.
SSP
Yitong Chen, Danqi Jin, Jie Chen, Wen Zhang, Jingdong Chen
2025 J jnl
SSAF-Net: A Spatial-Spectral Adaptive Fusion Network for Hyperspectral Unmixing With Endmember Variability.
IEEE Trans. Geosci. Remote. Sens.
Wei Gao, Jingyu Yang, Yu Zhang, Youssef Akoudad, Jie Chen
2025 J jnl
URDM: Hyperspectral Unmixing Regularized by Diffusion Models.
IEEE Trans. Image Process.
Min Zhao, Linruize Tang, Jie Chen, Bo Huang
2025 J jnl
Unrolling Plug-and-Play Network for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens.
Min Zhao, Linruize Tang, Jie Chen
2025 J jnl
Zeroth-Order Distributed Stochastic Optimization Over Riemannian Manifolds.
IEEE Signal Process. Lett.
Danqi Jin, Yitong Chen, Jie Chen, Wen Zhang
2024 — conf
A Fast and Effective Golomb Code with Asymmetric Numerical System.
ICSPCC
Shumin Liu, Jie Chen, Keng-Pang Lim, Susanto Rahardja
2024 J jnl
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising.
IEEE Trans. Geosci. Remote. Sens.
Min Zhao, Jie Chen, Nicolas Dobigeon
2024 — conf
Affine Combination of General Adaptive Filters.
APSIPA
Danqi Jin, Yitong Chen, Jie Chen, Gongping Huang
2024 J jnl
Diffusion-Based Distributed Wave-Domain Active Noise Control With Convex Sum of Non-Convex Quadratic Costs.
IEEE Trans. Circuits Syst. II Express Briefs
Mengfei Zhang, Yuchen Dong, Jie Chen, Cédric Richard
2024 J jnl
Distributed speech dereverberation using weighted prediction error.
Signal Process.
Ziye Yang, Mengfei Zhang, Jie Chen
2024 — conf
Fast Low-Rank Approximation of Matrices via Randomization with Application to Tensor Completion.
ICSPCC
Maboud F. Kaloorazi, Salman Ahmadi-Asl, Jie Chen, Susanto Rahardja
2024 J jnl
Hyperspecral Unmixing Based on Multilinear Mixing Model Using Convolutional Autoencoders.
IEEE Trans. Geosci. Remote. Sens.
Tingting Fang, Fei Zhu, Jie Chen
2024 — conf
Hyperspectral Anomaly Detection with CNN-Based VAE and RX Algorithm.
ICSPCC
Linruize Tang, Yingjie Song, Jinwei Li, Qiang Li, Rengang Li, Ruidong Li, Jie Chen
2024 J jnl
Integrating Data Priors to Weighted Prediction Error for Speech Dereverberation.
IEEE ACM Trans. Audio Speech Lang. Process.
Ziye Yang, Wenxing Yang, Kai Xie, Jie Chen
2024 J jnl
Learning Noise Adapters for Incremental Speech Enhancement.
IEEE Signal Process. Lett.
Ziye Yang, Xiang Song, Jie Chen, Cédric Richard, Israel Cohen
2024 J jnl
MA-Stereo: Real-Time Stereo Matching via Multi-Scale Attention Fusion and Spatial Error-Aware Refinement.
IEEE Robotics Autom. Lett.
Wei Gao, Yongjie Cai, Youssef Akoudad, Yang Yang, Jie Chen
2024 — conf
Online Parameter Estimation Over Distributed Multitask Networks with a Rank-One Model.
EUSIPCO
Yitong Chen, Danqi Jin, Jie Chen, Cédric Richard, Wen Zhang, Gongping Huang, Jingdong Chen
2024 — conf
Plug-and-Play WPE Guided by Deep Spectrum Estimation for Speech Dereverberation.
ICSPCC
Ziye Yang, Jie Chen, Cédric Richard, Junjie Li
2024 J jnl
Proportional Perturbation Model for Hyperspectral Unmixing Accounting for Endmember Variability.
IEEE Geosci. Remote. Sens. Lett.
Wei Gao, Jingyu Yang, Jie Chen
2024 J jnl
Proportionate Total Adaptive Filtering Algorithms for Sparse System Identification.
IEEE Trans. Syst. Man Cybern. Syst.
Jingen Ni, Yiwei Xing, Zhanyu Zhu, Jie Chen
2024 J jnl
Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm.
IEEE Trans. Circuits Syst. II Express Briefs
Wei Gao, Jie Chen, Cédric Richard
2023 J jnl
A Coarse to Fine Framework for Object Detection in High Resolution Image.
CoRR
Jinyan Liu, Jie Chen
2023 J jnl
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising.
CoRR
Min Zhao, Jie Chen, Nicolas Dobigeon
2023 — conf
Adaptive Random Fourier Features Kernel LMS.
ICSPCC
Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, QunFei Zhang
2023 B conf
An Alternative to Bilinear and Nearest-Neighbour Enlarging for Monitor Displays.
ICIP
Shumin Liu, Jie Chen, Susanto Rahardja
2023 J jnl
An ESPRIT-Based Supervised Channel Estimation Method Using Tensor Train Decomposition for mmWave 3-D MIMO-OFDM Systems.
IEEE Trans. Signal Process.
Xiao Gong, Wei Chen, Lei Sun, Jie Chen, Bo Ai
2023 J jnl
An efficient randomized QLP algorithm for approximating the singular value decomposition.
Inf. Sci.
Maboud F. Kaloorazi, Kai Liu, Jie Chen, Rodrigo C. de Lamare
2023 J jnl
Cascaded transformer U-net for image restoration.
Signal Process.
Longbin Yan, Min Zhao, Shumin Liu, Shuaikai Shi, Jie Chen
2023 Misc conf
Change Point Detection with Neural Online Density-Ratio Estimator.
ICASSP
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen
2023 J jnl
Deep Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE Trans. Geosci. Remote. Sens.
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen
2023 C conf
Deep-RX for Hyperspectral Anomaly Detection.
IGARSS
Yingjie Song, Shuaikai Shi, Jie Chen
2023 J jnl
Diffusion least mean kurtosis algorithm and its performance analysis.
Inf. Sci.
Zhu Qing, Jingen Ni, Jie Chen, Hing Cheung So
2023 — conf
Distributed Learning with Convex SUM-of -Non-Convex Objective.
CAMSAP
Mengfei Zhang, Jie Chen, Cédric Richard
2023 — conf
Distributed Pressure Matching for Personal Sound Zone Control Using Diffusion Adaptation.
CAMSAP
Mengfei Zhang, Junqing Zhang, Jie Chen, Cédric Richard
2023 J jnl
Distributed pressure matching strategy using diffusion adaptation.
CoRR
Mengfei Zhang, Junqing Zhang, Jie Chen, Cédric Richard
2023 J jnl
Edge Devices Friendly Self-Supervised Monocular Depth Estimation via Knowledge Distillation.
IEEE Robotics Autom. Lett.
Wei Gao, Di Rao, Yang Yang, Jie Chen
2023 C conf
Efficient Blind Hyperspectral Unmixing with Non-Local Spatial Information Based on Swin Transformer.
IGARSS
Yun Wang, Shuaikai Shi, Jie Chen
2023 J jnl
GPU Implementation of Graph-Regularized Sparse Unmixing With Superpixel Structures.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zeng Li, Jie Chen, Muhammad Mobeen Movania, Susanto Rahardja
2023 J jnl
Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems.
IEEE Trans. Image Process.
Min Zhao, Nicolas Dobigeon, Jie Chen
2023 J jnl
Guided Deep Generative Model-based Spatial Regularization for Multiband Imaging Inverse Problems.
CoRR
Min Zhao, Nicolas Dobigeon, Jie Chen
2023 — conf
How to Select Optimal Parameters for Neighborhood-Based Outlier Detectors?
ICSPCC
Sylwan Rahardja, Xu Tan, Junqi Chen, Jiawei Yang, Jie Chen, Pasi Fränti
2023 J jnl
Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model.
CoRR
Shuaikai Shi, Lijun Zhang, Jie Chen
2023 J jnl
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods.
IEEE Signal Process. Mag.
Jie Chen, Min Zhao, Xiuheng Wang, Cédric Richard, Susanto Rahardja
2023 J jnl
Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm.
IEEE Trans. Veh. Technol.
Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard
2023 J jnl
Performance analysis of the augmented complex-valued least mean kurtosis algorithm.
Signal Process.
Zhu Qing, Jingen Ni, Zhe Li, Engin Cemal Mengüç, Jie Chen, Danilo P. Mandic
2023 J jnl
Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition.
IEEE Access
Maboud F. Kaloorazi, Kai Liu, Jie Chen, Rodrigo C. de Lamare, Susanto Rahardja
2023 J jnl
Scale-Balanced Real-Time Object Detection With Varying Input-Image Resolution.
IEEE Trans. Circuits Syst. Video Technol.
Longbin Yan, Yunxiao Qin, Jie Chen
2023 — conf
Tobacco Impurities Detection with Deep Image Segmentation Method on Hyperspectral Imaging.
ICSPCC
Linruize Tang, Min Zhao, Shuaikai Shi, Jie Chen, Jinwei Li, Qiang Li, Rengang Li
2023 J jnl
Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution With Deep Priors.
IEEE Trans. Geosci. Remote. Sens.
Xiuheng Wang, Jie Chen, Cédric Richard
2023 J jnl
Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency.
CoRR
Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen
2022 J jnl
A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability.
IEEE Trans. Geosci. Remote. Sens.
Min Zhao, Shuaikai Shi, Jie Chen, Nicolas Dobigeon
2022 J jnl
A Deep Joint Network for Multispectral Demosaicking Based on Pseudo-Panchromatic Images.
IEEE J. Sel. Top. Signal Process.
Shumin Liu, Yuge Zhang, Jie Chen, Keng Pang Lim, Susanto Rahardja
2022 J jnl
A Plug-and-Play Priors Framework for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens.
Min Zhao, Xiuheng Wang, Jie Chen, Wei Chen
2022 J jnl
An improved mean-square performance analysis of the diffusion least stochastic entropy algorithm.
Signal Process.
Zhu Qing, Jingen Ni, Zhe Li, Jie Chen
2022 J jnl
Blind Modulation Classification Under Uncertain Noise Conditions: A Multitask Learning Approach.
IEEE Commun. Lett.
Jiansen Qiao, Wei Chen, Jie Chen, Bo Ai
2022 J jnl
Block-sparse sign algorithm and its performance analysis.
Digit. Signal Process.
Yifan Wu, Zhu Qing, Jingen Ni, Jie Chen
2022 C conf
Constrained Energy Minimization with a DNN Detector.
IGARSS
Xiaoli Yang, Min Zhao, Shuaikai Shi, Jie Chen
2022 — conf
DB-GAN: A Low Contrast Image Enhancer Based on NIR-RGB Fusion.
MLSP
Linruize Tang, Longbin Yan, Jie Chen
2022 J jnl
Deep Constrained Energy Minimization for Hyperspectral Target Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xiaoli Yang, Min Zhao, Shuaikai Shi, Jie Chen
2022 J jnl
Deep Generative Model for Spatial-Spectral Unmixing With Multiple Endmember Priors.
IEEE Trans. Geosci. Remote. Sens.
Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen
2022 — conf
Deep Image Fusion Accounting for Inter-Image Variability.
IEEECONF
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen
2022 J jnl
Dual Complementary Dynamic Convolution for Image Recognition.
CoRR
Longbin Yan, Yunxiao Qin, Shumin Liu, Jie Chen
2022 J jnl
Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation.
IEEE Trans. Circuits Syst. Video Technol.
Xiuheng Wang, Jie Chen, Qi Wei, Cédric Richard
2022 Misc conf
Hyperspectral Image Super-Resolution with Deep Priors and Degradation Model Inversion.
ICASSP
Xiuheng Wang, Jie Chen, Cédric Richard
2022 J jnl
Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion.
CoRR
Xiuheng Wang, Jie Chen, Cédric Richard
2022 C conf
Hyperspectral Unmixing Powered by Deep Image Priors and Denoising Regularization.
IGARSS
Min Zhao, Jie Chen
2022 J jnl
Hyperspectral Unmixing for Additive Nonlinear Models With a 3-D-CNN Autoencoder Network.
IEEE Trans. Geosci. Remote. Sens.
Min Zhao, Mou Wang, Jie Chen, Susanto Rahardja
2022 J jnl
Hyperspectral Unmixing via Nonnegative Matrix Factorization With Handcrafted and Learned Priors.
IEEE Geosci. Remote. Sens. Lett.
Min Zhao, Tiande Gao, Jie Chen, Wei Chen
2022 J jnl
Multiscale-Superpixel-Based SparseCEM for Hyperspectral Target Detection.
IEEE Geosci. Remote. Sens. Lett.
Xiaoli Yang, Min Zhao, Tiande Gao, Jie Chen, Jie Zhang
2022 J jnl
Perceptual Loss-Constrained Adversarial Autoencoder Networks for Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett.
Min Zhao, Mou Wang, Jie Chen, Susanto Rahardja
2022 J jnl
Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability.
IEEE Trans. Geosci. Remote. Sens.
Shuaikai Shi, Min Zhao, Lijun Zhang, Yoann Altmann, Jie Chen
2022 J jnl
Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition.
CoRR
Maboud F. Kaloorazi, Kai Liu, Jie Chen, Rodrigo C. de Lamare, Susanto Rahardja
2022 J jnl
Robust Manifold Nonnegative Tucker Factorization for Tensor Data Representation.
CoRR
Jianyu Wang, Linruize Tang, Jie Chen, Jingdong Chen
2022 J jnl
Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation.
IEEE Trans. Geosci. Remote. Sens.
Zeng Li, Yoann Altmann, Jie Chen, Stephen McLaughlin, Susanto Rahardja
2022 Misc conf
Transient Analysis of Clustered Multitask Diffusion RLS Algorithm.
ICASSP
Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, QunFei Zhang
2022 — conf
Transient Analysis of Diffusion Recursive Least Squares via Signed Error Algorithm for Cyclostationary Colored Inputs.
MLSP
Wei Gao, Yi Xu, Jie Chen, Cédric Richard
2022 J jnl
Transient Performance Analysis of the $\ell _1$-RLS.
IEEE Signal Process. Lett.
Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, QunFei Zhang
2022 J jnl
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors.
CoRR
Xiuheng Wang, Jie Chen, Cédric Richard
2021 — conf
A Coarse-to-Fine Object Detection Framework for High-Resolution Images with Sparse Objects.
MLSP
Jinyan Liu, Longbin Yan, Jie Chen
2021 J jnl
A QLP Decomposition via Randomization.
CoRR
Maboud F. Kaloorazi, Jie Chen, Rodrigo C. de Lamare
2021 — conf
A TTSVD-Enhanced Fast and Accurate Channel Estimation Method for Dual-Polarized Massive MIMO Systems.
ICSPCC
Xiao Gong, Wei Chen, Xuying Chen, Jie Chen, Bo Ai
2021 J jnl
A family of affine projection-type least lncosh algorithms and their step-size optimization.
Signal Process.
Yiwei Xing, Jingen Ni, Jie Chen
2021 J jnl
A family of normalized dual sign algorithms.
Digit. Signal Process.
Yulian Zong, Jingen Ni, Jie Chen
2021 J jnl
A model-based variable step-size strategy for proximal multitask diffusion LMS algorithm.
Digit. Signal Process.
Yuge Zhang, Danqi Jin, Jie Chen
2021 — conf
An Efficient Randomized Low-Rank Matrix Factorization with Application to Robust PCA.
ICSPCC
Maboud F. Kaloorazi, Jie Chen, Fei Li, Dan Wu
2021 J jnl
Bias-Compensated Sign Algorithm for Noisy Inputs and Its Step-Size Optimization.
IEEE Trans. Signal Process.
Jingen Ni, Ye Gao, Xu Chen, Jie Chen
2021 J jnl
Hyperspectral Shadow Removal via Nonlinear Unmixing.
IEEE Geosci. Remote. Sens. Lett.
Min Zhao, Jie Chen, Susanto Rahardja
2021 J jnl
Hyperspectral image shadow compensation via cycle-consistent adversarial networks.
Neurocomputing
Min Zhao, Longbin Yan, Jie Chen
2021 J jnl
LSTM-DNN Based Autoencoder Network for Nonlinear Hyperspectral Image Unmixing.
IEEE J. Sel. Top. Signal Process.
Min Zhao, Longbin Yan, Jie Chen
2021 J jnl
Multichannel Iterative Noise Reduction Filters in the Short-Time-Fourier-Transform Domain Based on Kronecker Product Decomposition.
IEEE ACM Trans. Audio Speech Lang. Process.
Xianghui Wang, Jie Chen, Xiaoyi Chen, Jing Guo, Qian Xiang
2021 J jnl
Object Detection in Hyperspectral Images.
IEEE Signal Process. Lett.
Longbin Yan, Min Zhao, Xiuheng Wang, Yuge Zhang, Jie Chen
2021 J jnl
Online Construction of Variable Span Linear Filters Using a Fixed-Point Approach.
IEEE Signal Process. Lett.
Haoyuan Cai, Yingke Zhao, Jie Chen, Wei Chen, Maboud F. Kaloorazi
2021 J jnl
Online Generalized Eigenvectors Extraction Via a Fixed-Point Approach.
IEEE Trans. Signal Process.
Haoyuan Cai, Maboud Farzaneh Kaloorazi, Jie Chen
2021 J jnl
Projection-Based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices.
IEEE Trans. Signal Process.
Maboud F. Kaloorazi, Jie Chen
2021 J jnl
Projection-based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices.
CoRR
Maboud F. Kaloorazi, Jie Chen
2021 J jnl
Selective partial-update augmented complex-valued LMS algorithm and its performance analysis.
Signal Process.
Zhu Qing, Jingen Ni, Zhe Li, Jie Chen
2021 J jnl
Steady-State Mean-Square Error Performance Analysis of the Tensor LMS Algorithm.
IEEE Trans. Circuits Syst. II Express Briefs
Ningning Zhang, Jingen Ni, Jie Chen, Zhe Li
2021 J jnl
Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs.
IEEE Signal Process. Lett.
Wei Gao, Jie Chen, Cédric Richard
2021 Misc conf
Variational Autoencoders for Hyperspectral Unmixing with Endmember Variability.
ICASSP
Shuaikai Shi, Min Zhao, Lijun Zhang, Jie Chen
2021 J jnl
Wave-domain active noise control over distributed networks of multi-channel nodes.
Signal Process.
Yuchen Dong, Jie Chen, Wen Zhang
2021 J jnl
Zeroth-Order Diffusion Adaptive Filter Over Networks.
IEEE Trans. Signal Process.
Mengfei Zhang, Danqi Jin, Jie Chen, Jingen Ni
2020 J jnl
A 2020 perspective on "How do goal and product knowledge specificity influence online channel choice? A polynomial regression analysis".
Electron. Commer. Res. Appl.
Jie Chen, Huiling Wang, Wei Gao
2020 J jnl
A Low-Rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising.
IEEE Trans. Signal Process.
Xiao Gong, Wei Chen, Jie Chen
2020 C conf
A Multi-Model Fusion Framework for NIR-to-RGB Translation.
VCIP
Longbin Yan, Xiuheng Wang, Min Zhao, Shumin Liu, Jie Chen
2020 J jnl
Affine Combination of Diffusion Strategies Over Networks.
IEEE Trans. Signal Process.
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed
2020 J jnl
Affine Combination of Diffusion Strategies over Networks.
CoRR
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed
2020 C conf
CNN-Based Anomaly Detection For Face Presentation Attack Detection With Multi-Channel Images.
VCIP
Yuge Zhang, Min Zhao, Longbin Yan, Tiande Gao, Jie Chen
2020 J jnl
Convex Combination of Diffusion Strategies Over Networks.
IEEE Trans. Signal Inf. Process. over Networks
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed
2020 J jnl
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms.
CoRR
Yanna Bai, Wei Chen, Jie Chen, Weisi Guo
2020 J jnl
Deep learning methods for solving linear inverse problems: Research directions and paradigms.
Signal Process.
Yanna Bai, Wei Chen, Jie Chen, Weisi Guo
2020 — conf
Distributed Principal Component Analysis Based on Randomized Low-Rank Approximation.
ICSPCC
Xinjue Wang, Jie Chen
2020 J jnl
Distributed Wave-Domain Active Noise Control Based on the Diffusion Adaptation.
IEEE ACM Trans. Audio Speech Lang. Process.
Yuchen Dong, Jie Chen, Wen Zhang
2020 Misc conf
Distributed Wave-Domain Active Noise Control Based on the Diffusion Strategy.
ICASSP
Yuchen Dong, Jie Chen, Wen Zhang
2020 J jnl
Efficient Low-Rank Approximation of Matrices Based on Randomized Pivoted Decomposition.
IEEE Trans. Signal Process.
Maboud F. Kaloorazi, Jie Chen
2020 C conf
Extending CCSDS 123.0-B-1 for Lossless 4D Image Compression.
VCIP
Panpan Zhang, Xiuheng Wang, Tiande Gao, Zhenfu Feng, Jie Chen
2020 J jnl
Generalized combined nonlinear adaptive filters: From the perspective of diffusion adaptation over networks.
Signal Process.
Wenxia Lu, Lijun Zhang, Jie Chen, Jingdong Chen
2020 B conf
Hyperspectral Unmixing Via Plug-And-Play Priors.
ICIP
Xiuheng Wang, Min Zhao, Jie Chen
2020 J jnl
Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors.
CoRR
Min Zhao, Tiande Gao, Jie Chen, Wei Chen
2020 Misc conf
Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution.
ICASSP
Xiuheng Wang, Jie Chen, Cédric Richard, David Brie
2020 Misc conf
Low-Rank Approximation of Matrices Via A Rank-Revealing Factorization with Randomization.
ICASSP
Maboud Farzaneh Kaloorazi, Jie Chen
2020 J jnl
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning.
IEEE Signal Process. Mag.
Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed
2020 J jnl
Multitask diffusion affine projection sign algorithm and its sparse variant for distributed estimation.
Signal Process.
Jingen Ni, Yanan Zhu, Jie Chen
2020 J jnl
Multitask learning over graphs.
CoRR
Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed
2020 — conf
Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method.
EUSIPCO
Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard
2020 — conf
Online Graph-Based Change Point Detection in Multiband Image Sequences.
EUSIPCO
R. A. Borsoi, Cédric Richard, André Ferrari, Jie Chen, José Carlos M. Bermudez
2020 J jnl
Online Proximal Learning Over Jointly Sparse Multitask Networks With $\ell _{\infty, 1}$ Regularization.
IEEE Trans. Signal Process.
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen
2020 Misc conf
Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data.
ICASSP
Fei Zhu, Paul Honeine, Jie Chen
2020 Misc conf
Proximal Multitask Learning Over Distributed Networks with Jointly Sparse Structure.
ICASSP
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen
2020 — conf
Random Fourier Features Multi-Kernel LMS Algorithm.
ICSPCC
Wei Gao, Meiru Song, Jie Chen, Lingling Zhang
2020 J jnl
Reconstruction of Hyperspectral Data From RGB Images With Prior Category Information.
IEEE Trans. Computational Imaging
Longbin Yan, Xiuheng Wang, Min Zhao, Maboud F. Kaloorazi, Jie Chen, Susanto Rahardja
2020 C conf
Sparse Spectral Unmixing of Hyperspectral Images using Expectation-Propagation.
VCIP
Zeng Li, Yoann Altmann, Jie Chen, Steve McLaughlin, Susanto Rahardja
2020 J jnl
Stochastic Analysis of Diffusion Dual Sign Algorithm for Cyclostationary White Gaussian Inputs and Nonstationary System.
IEEE Trans. Circuits Syst. II Express Briefs
Wei Gao, Yi Xu, Jie Chen
2020 J jnl
Tensor Denoising Using Low-Rank Tensor Train Decomposition.
IEEE Signal Process. Lett.
Xiao Gong, Wei Chen, Jie Chen, Bo Ai
2020 J jnl
Tracking Analysis of Gaussian Kernel Signed Error Algorithm for Time-Variant Nonlinear Systems.
IEEE Trans. Circuits Syst. II Express Briefs
Wei Gao, Meiru Song, Jie Chen
2020 J jnl
Transient Analysis of Signed LMS Algorithms With Cyclostationary Colored Gaussian Inputs.
IEEE Trans. Circuits Syst.
Wei Gao, Jie Chen
2020 — conf
Variance Reduced Diffusion Adaptation For Online Learning Over Networks.
ICSPCC
Mengfei Zhang, Danqi Jin, Jie Chen
2019 J jnl
A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing.
Remote. Sens.
Minglei Li, Fei Zhu, Alan J. X. Guo, Jie Chen
2019 J jnl
A Laboratory-Created Dataset With Ground Truth for Hyperspectral Unmixing Evaluation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Min Zhao, Jie Chen, Zhe He
2019 J jnl
A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation.
CoRR
Min Zhao, Jie Chen, Zhe He
2019 — conf
Generalized Combined Nonlinear Adaptive Filters for Nonlinear Acoustic Echo Cancellation.
APSIPA
Wenxia Lu, Lijun Zhang, Jie Chen, Jingdong Chen
2019 J jnl
How do goal and product knowledge specificity influence online channel choice? A polynomial regression analysis.
Electron. Commer. Res. Appl.
Jie Chen, Huiling Wang, Wei Gao
2019 J jnl
Kernel-Based Nonlinear Spectral Unmixing with Dictionary Pruning.
Remote. Sens.
Zeng Li, Jie Chen, Susanto Rahardja
2019 J jnl
Learning Combination of Graph Filters for Graph Signal Modeling.
IEEE Signal Process. Lett.
Fei Hua, Cédric Richard, Jie Chen, Haiyan Wang, Pierre Borgnat, Paulo Gonçalves
2019 Misc conf
Low-rank Matrix Approximation Based on Intermingled Randomized Decomposition.
ICASSP
Maboud F. Kaloorazi, Jie Chen
2019 — conf
Non-Destructive Prediction of Pork Meat Degradation using a Stacked Autoencoder Classifier on Hyperspectral Images.
EUSIPCO
B. B. Gallo, Sérgio J. M. de Almeida, José C. M. Bermudez, Jie Chen, Cédric Richard
2019 J jnl
Nonlinear Unmixing of Hyperspectral Data via Deep Autoencoder Networks.
IEEE Geosci. Remote. Sens. Lett.
Mou Wang, Min Zhao, Jie Chen, Susanto Rahardja
2019 J jnl
Online Deconvolution for Industrial Hyperspectral Imaging Systems.
SIAM J. Imaging Sci.
Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie
2019 J jnl
Performance Analysis of Diffusion LMS for Cyclostationary White Non-Gaussian Inputs.
IEEE Access
Wei Gao, Jie Chen
2019 J jnl
Randomized Truncated Pivoted QLP Factorization for Low-Rank Matrix Recovery.
IEEE Signal Process. Lett.
Maboud Farzaneh Kaloorazi, Jie Chen
2019 J jnl
Recursive Variable Span Linear Filter for Noise Reduction.
IEEE Signal Process. Lett.
Yingke Zhao, Jie Chen, Jingdong Chen
2019 Misc conf
Robust Sparse Multichannel Active Noise Control.
ICASSP
JingLi Xie, Danqi Jin, Wen Zhang, Xiao-Lei Zhang, Jie Chen, DeLiang Wang
2019 J jnl
Sparse-SpatialCEM for Hyperspectral Target Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xiaoli Yang, Jie Chen, Zhe He
2019 J jnl
Transient Performance Analysis of Zero-Attracting Gaussian Kernel LMS Algorithm With Pre-Tuned Dictionary.
IEEE Access
Wei Gao, Jie Chen
2018 C conf
A Dataset with Ground-Truth for Hyperspectral Unmixing.
IGARSS
Min Zhao, Jie Chen
2018 Misc conf
Adaptive Parameters Adjustment for Group Reweighted Zero-Attracting LMS.
ICASSP
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen
2018 — conf
Convex Combination of Diffusion Strategies Over Distributed Networks.
APSIPA
Danqi Jin, Jie Chen, Jingdong Chen
2018 Misc conf
Distributed Diffusion Adaptation Over Graph Signals.
ICASSP
Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed
2018 — conf
Distributed Optimization of Quadratic Costs with a Group-Sparsity Regularization Via PDMM.
APSIPA
Kangwei Hu, Danqi Jin, Wen Zhang, Jie Chen
2018 — conf
Hyperspectral Image Classification VIA a Joint Sparsity and Spatial Correlation Model.
WCSP
Xiaoli Yang, Zeng Li, Jie Chen, Yi Zhang
2018 — conf
Hyperspectral Target Detection Based on a Spatially Regularized Sparse Representation.
WCSP
Xiaoli Yang, Jie Chen, Yi Zhang
2018 J jnl
Model-driven online parameter adjustment for zero-attracting LMS.
Signal Process.
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen
2018 — conf
Non-intrusive fingerprints extraction from hyperspectral imagery.
EUSIPCO
Longbin Yan, Jie Chen
2018 C conf
Spatially Regularzied Sparsecem for Target Detection in Hyperspectral Images.
IGARSS
Xiaoli Yang, Zeng Li, Jie Chen
2018 J jnl
Steady-state and stability analyses of diffusion sign-error LMS algorithm.
Signal Process.
Ye Gao, Jingen Ni, Jie Chen, Xiaoping Chen
2018 — conf
Superpixel construction for hyperspectral unmixing.
EUSIPCO
Zeng Li, Jie Chen, Susanto Rahardja
2018 Misc conf
Zeroth-Order Diffusion Adaptation Over Networks.
ICASSP
Jie Chen, Sijia Liu, Pin-Yu Chen
2018 A conf
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications.
AISTATS
Sijia Liu, Jie Chen, Pin-Yu Chen, Alfred O. Hero III
2017 Misc conf
A graph diffusion LMS strategy for adaptive graph signal processing.
ACSSC
Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed
2017 J jnl
Adaptation and learning over networks for nonlinear system modeling.
CoRR
Simone Scardapane, Jie Chen, Cédric Richard
2017 J jnl
Internal Transfer Learning for Improving Performance in Human Action Recognition for Small Datasets.
IEEE Access
Tian Wang, Yang Chen, Mengyi Zhang, Jie Chen, Hichem Snoussi
2017 J jnl
Kernel Least Mean p-Power Algorithm.
IEEE Signal Process. Lett.
Wei Gao, Jie Chen
2017 J jnl
Multitask Diffusion Adaptation Over Networks With Common Latent Representations.
IEEE J. Sel. Top. Signal Process.
Jie Chen, Cédric Richard, Ali H. Sayed
2017 J jnl
Multitask diffusion adaptation over networks with common latent representations.
CoRR
Jie Chen, Cédric Richard, Ali H. Sayed
2017 — conf
Online deconvolution for pushbroom hyperspectral imaging systems.
CAMSAP
Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie
2017 J jnl
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications.
CoRR
Sijia Liu, Jie Chen, Pin-Yu Chen, Alfred O. Hero III
2016 Misc conf
Diffusion LMS over multitask networks with noisy links.
ICASSP
Roula Nassif, Cédric Richard, Jie Chen, André Ferrari, Ali H. Sayed
2016 J jnl
Diffusion sign-error LMS algorithm: Formulation and stochastic behavior analysis.
Signal Process.
Jingen Ni, Jie Chen, Xiaoping Chen
2016 Misc conf
Group diffusion LMS.
ICASSP
Jie Chen, Shang-Kee Ting, Cédric Richard, Ali H. Sayed
2016 J jnl
Reweighted nonnegative least-mean-square algorithm.
Signal Process.
Jie Chen, Cédric Richard, José Carlos M. Bermudez
2016 C conf
Robust nonlinear unmixing of hyperspectral images with a linear-mixture/nonlinear-fluctuation model.
IGARSS
Jie Chen, Cédric Richard
2016 J jnl
Spectral identification of topological domains.
Bioinform.
Jie Chen, Alfred O. Hero III, Indika Rajapakse
2016 J jnl
Stochastic behavior of the nonnegative least mean fourth algorithm for stationary Gaussian inputs and slow learning.
Signal Process.
Jingen Ni, Jian Yang, Jie Chen, Cédric Richard, José Carlos M. Bermudez
2016 J jnl
Transient Performance Analysis of Zero-Attracting LMS.
IEEE Signal Process. Lett.
Jie Chen, Cédric Richard, Yingying Song, David Brie
2016 J jnl
Transient performance analysis of zero-attracting LMS.
CoRR
Jie Chen, Cédric Richard, Yingying Song, David Brie
2015 J jnl
Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks.
Int. J. Distributed Sens. Networks
Tian Wang, Jie Chen, Paul Honeine, Hichem Snoussi
2015 — conf
Adaptive clustering for multitask diffusion networks.
EUSIPCO
Jie Chen, Cédric Richard, Ali H. Sayed
2015 Misc conf
Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary.
ICASSP
Wei Gao, Jie Chen, Cédric Richard, José Carlos M. Bermudez, Jianguo Huang
2015 J jnl
Diffusion LMS Over Multitask Networks.
IEEE Trans. Signal Process.
Jie Chen, Cédric Richard, Ali H. Sayed
2015 — conf
Diffusion adaptation over networks with kernel least-mean-square.
CAMSAP
Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang
2015 J jnl
Stochastic Behavior of the Nonnegative Least Mean Fourth Algorithm for Stationary Gaussian Inputs and Slow Learning.
CoRR
Jingen Ni, Jian Yang, Jie Chen, Cédric Richard, José Carlos M. Bermudez
2014 Misc conf
Convergence analysis of kernel LMS algorithm with pre-tuned dictionary.
ICASSP
Jie Chen, Wei Gao, Cédric Richard, José Carlos M. Bermudez
2014 Misc conf
Diffusion LMS for clustered multitask networks.
ICASSP
Jie Chen, Cédric Richard, Ali H. Sayed
2014 — conf
Diffusion LMS for multitask problems with overlapping hypothesis subspaces.
MLSP
Jie Chen, Cédric Richard, Alfred O. Hero III, Ali H. Sayed
2014 J jnl
Diffusion LMS over Multitask Networks.
CoRR
Jie Chen, Cédric Richard, Ali H. Sayed
2014 J jnl
Multitask Diffusion Adaptation Over Networks.
IEEE Trans. Signal Process.
Jie Chen, Cédric Richard, Ali H. Sayed
2014 J jnl
Nonlinear Estimation of Material Abundances in Hyperspectral Images With ℓ
IEEE Trans. Geosci. Remote. Sens.
Jie Chen, Cédric Richard, Paul Honeine
2014 Misc conf
Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization.
ICASSP
Jie Chen, Cédric Richard, Alfred O. Hero III
2014 J jnl
Online Dictionary Learning for Kernel LMS.
IEEE Trans. Signal Process.
Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang
2014 J jnl
Steady-State Performance of Non-Negative Least-Mean-Square Algorithm and Its Variants.
IEEE Signal Process. Lett.
Jie Chen, José Carlos M. Bermudez, Cédric Richard
2014 J jnl
Steady-state performance of non-negative least-mean-square algorithm and its variants.
CoRR
Jie Chen, José Carlos M. Bermudez, Cédric Richard
2014 J jnl
Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis.
IEEE Trans. Signal Process.
Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2013 J jnl
Diffusion LMS for clustered multitask networks.
CoRR
Jie Chen, Cédric Richard, Ali H. Sayed
2013 — conf
Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model.
WHISPERS
Jie Chen, Cédric Richard, Paul Honeine
2013 Misc conf
Kernel LMS algorithm with forward-backward splitting for dictionary learning.
ICASSP
Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang, Rémi Flamary
2013 J jnl
Multitask Diffusion Adaptation over Networks.
CoRR
Jie Chen, Cédric Richard, Ali H. Sayed
2013 — conf
Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm.
EUSIPCO
Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2013 J jnl
Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model.
IEEE Trans. Signal Process.
Jie Chen, Cédric Richard, Paul Honeine
2013 Misc conf
Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression.
ICASSP
Jie Chen, Cédric Richard, André Ferrari, Paul Honeine
2013 J jnl
Online Detection of Abnormal Events in Video Streams.
J. Electr. Comput. Eng.
Tian Wang, Jie Chen, Hichem Snoussi
2013 J jnl
Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection.
Sensors
Tian Wang, Jie Chen, Yi Zhou, Hichem Snoussi
2013 — conf
Performance analysis of diffusion LMS in multitask networks.
CAMSAP
Jie Chen, Cédric Richard
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
2012 — conf
Nonlinear unmixing of hyperspectral images based on multi-kernel learning.
WHISPERS
Jie Chen, Cédric Richard, Paul Honeine
2012 C conf
Prediction of rain attenuation series based on discretized spectral model.
IGARSS
Jie Chen, Cédric Richard, Paul Honeine, Jean-Yves Tourneret
2011 — conf
A modified non-negative LMS algorithm and its stochastic behavior analysis.
ACSCC
Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2011 — conf
A novel kernel-based nonlinear unmixing scheme of hyperspectral images.
ACSCC
Jie Chen, Cédric Richard, Paul Honeine
2011 J jnl
Nonnegative Least-Mean-Square Algorithm.
IEEE Trans. Signal Process.
Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2011 — conf
Online system identification under non-negativity and ℓ1-norm constraints algorithm and weight behavior analysis.
EUSIPCO
Jie Chen, Cédric Richard, Henri Lantéri, Céline Theys, Paul Honeine
2010 J jnl
A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks.
EURASIP J. Wirel. Commun. Netw.
Paul Honeine, Cédric Richard, José Carlos M. Bermudez, Jie Chen, Hichem Snoussi
2010 — conf
System identification under non-negativity constraints.
EUSIPCO
Jie Chen, Cédric Richard, Paul Honeine, Henri Lantéri, Céline Theys
2008 J jnl
Error Probability Distribution and Density Functions for Rayleigh and Rician Fading Channels with Diversity.
Int. J. Wirel. Inf. Networks
Jie Chen, Vidhyacharan Bhaskar