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ORCIDJie Chen 0022
Person information
- affiliation: Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
- affiliation (2013 - 2015): University of Michigan, Ann Arbor, MI, USA
- affiliation (until 2013): University of Nice Sophia Antipolis, France
- affiliation (PhD 2013): University of Technology of Troyes, France
Other persons with the same name
- Jie Chen — disambiguation page
- Jie Chen 0001
![[0000-0002-9765-4523]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9765-4523")
— Peking University, School of Electronic and Computer Engineering, Beijing, China (and 4 more) - Jie Chen 0002 — University of Alberta, Department of Electrical and Computer Engineering & Department of Biomedical Engineering, Edmonton, AB, Canada (and 3 more)
- Jie Chen 0003 — Beijing Institute of Technology, State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing, China (and 2 more)
- Jie Chen 0004 — University of South Australia, Adelaide, Australia (and 1 more)
- Jie Chen 0005 — City University of Hong Kong (and 2 more)
- Jie Chen 0006 — BoyunVision Technology Co., Ltd., Beijing, China (and 1 more)
- Jie Chen 0007 — IBM Research, MIT-IBM Watson AI Lab, Cambridge, MI, USA (and 2 more)
- Jie Chen 0008 — Augusta University, Medical College of Georgia, Department of Population Health Sciences, Augusta, GA, USA (and 1 more)
- Jie Chen 0009 — Beihang University, School of Electronics and Information Engineering, Beijing, China (and 3 more)
- Jie Chen 0010 — Jefferson Lab, Scientific Computing Group, Newport News, VA, USA
- Jie Chen 0011 — Suzhou Vocational University, College of Electronic and Information Engineering, Suzhou, China (and 1 more)
- Jie Chen 0012 — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China
- Jie Chen 0013 — Beijing University of Posts and Telecommunications, China (and 1 more)
- Jie Chen 0014 — Wuhan Institute of Technology
- Jie Chen 0015 — Nokia Bell Labs, Naperville, IL, USA (and 1 more)
- Jie Chen 0016 — Brunel University, London, UK
- Jie Chen 0017 — Potomac Economics, USA (and 1 more)
- Jie Chen 0018 — Cornell University, School of Operations Research and Information Engineering, Ithaca, NY, USA
- Jie Chen 0019 — Department of Electrical and Computer Engineering, University of Minnesota, Department of Electrical and Computer Engineering, Minneapolis, MN, USA
- Jie Chen 0020 — George Washington University, Washington, DC, USA
- Jie Chen 0021 — Wuhan University, Wuhan, China (and 3 more)
- Jie Chen 0023 — Harbin Engineering University, College of Information and Communication Engineering, Harbin, China
- Jie Chen 0024 — Huawei Technology Co., Ltd, China (and 1 more)
- Jie Chen 0025 — Anhui University, School of Computer Science and Technology, Hefei, China
- Jie Chen 0026 — Hong Kong Baptist University, Department of Computer Science, Hong Kong (and 1 more)
- Jie Chen 0027 — Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, China (and 2 more)
- Jie Chen 0028 — University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong
- Jie Chen 0029 — Xian Jiaotong-Liverpool University, Department of Mathematical Sciences, Suzhou, China (and 2 more)
- Jie Chen 0030 — Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China (and 2 more)
- Jie Chen 0031 — Chinese University of Hong Kong, Institute of Space and Earth Information Science / Faculty of Science, Hong Kong (and 1 more)
- Jie Chen 0032 — University of Florida, Department of Electrical and Computer Engineering, SiMICS, Gainesville, FL, USA
- Jie Chen 0033 — Nanjing University of Posts and Telecommunications, College of Telecommunications & Information Engineering, Jiangsu Key Lab on Image Processing and Image Communication, Nanjing, China
- Jie Chen 0034 — Chongqing University, Department of Physics, China
- Jie Chen 0035 — Chinese Academy of Sciences, Hefei Institute of Physical Science, China (and 1 more)
- Jie Chen 0036 — University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong
- Jie Chen 0037 — Shandong University, School of Control Science and Engineering, Jinan, China
- Jie Chen 0038 — Beihang University, School of Electronic Information Engineering, Laboratory of Information and Network Security, Beijing, China (and 1 more)
- Jie Chen 0039 — National Institutes of Health, National Library of Medicine, Bethesda, MD, USA
- Jie Chen 0040 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- Jie Chen 0041 — Chinese Academy of Sciences, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China
- Jie Chen 0042 — University of Bologna, Italy (and 1 more)
- Jie Chen 0043 — Shanghai University, School of Mechatronic Engineering and Automation, Shanghai, China
- Jie Chen 0044 — Xiamen University, Cognitive Science Department, Xiamen, China
- Jie Chen 0045 — University of Illinois at Chicago, Control and Information Laboratory, Chicago, IL, USA
- Jie Chen 0046 — University of Victoria, Department of Computer Science, Victoria, Canada
- Jie Chen 0047 — Shanxi Datong University, College of Architecture and Surveying Engineering, Datong, China
- Jie Chen 0048 — Central South University, School of Geosciences and Info-Physics, Changsha, China
- Jie Chen 0049 — University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China (and 1 more)
- Jie Chen 0050 — Jimei University, Computing Engineering College, Xiamen, China
- Jie Chen 0051 — Beihang University, School of Transportation Science and Engineering, Beijing, China (and 1 more)
- Jie Chen 0052 — Hohai University, College of Internet of Things Engineering, Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology, Changzhou, China
- Jie Chen 0053 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, Nanjing, China
- Jie Chen 0054 — Wells Fargo, Corporate Model Risk, San Francisco, CA, USA (and 1 more)
- Jie Chen 0055 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Jie Chen 0056 — Xidian University, School of Telecommunications Engineering, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Jie Chen 0057 — Tencent AI Lab, Shenzhen, China
- Jie Chen 0058 — Jinan University, International School, Guangzhou, China (and 1 more)
- Jie Chen 0059 — Beijing Normal University, College of Information Science and Technology, Beijing, China
- Jie Chen 0060 — Hangzhou Dianzi University, School of Computer Science and Technology, Hangzhou, China (and 1 more)
- Jie Chen 0061 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- Jie Chen 0062 — Chinese Academy of Sciences, Institute of Electrical Engineering, Beijing, China (and 1 more)
- Jie Chen 0063 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China (and 1 more)
- Jie Chen 0064 — Hubei University of Technology, School of Science, Wuhan, China (and 1 more)
- Jie Chen 0065 — Sichuan University, College of Computer Science, Machine Intelligence Laboratory, Chengdu, China
- Jie Chen 0066 — Jilin University, College of Computer Science and Technology, Changchun, China
- Jie Chen 0067 — Shanghai Jiao Tong University, Department of Physics, Key Laboratory for Laser Plasmas, Shanghai, China (and 1 more)
- Jie Chen 0068 — Hangzhou Dianzi University, School of Automation, Hangzhou, China
- Jie Chen 0069 — Jiangsu University, School of Computer Science and Communication Engineering, Zhenjiang, China
- Jie Chen 0070 — National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China
- Jie Chen 0071 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
- Jie Chen 0072 — Hunan Normal University, College of Information Science and Engineering, Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Changsha, China
- Jie Chen 0073 — Beijing University of Technology, College of Mechanical Engineering, Beijing Key Laboratory on Nonlinear Vibrations and Strength of Mechanical Structures, Beijing, China
- Jie Chen 0074 — China Electric Power Research Institute, Beijing, China
- Jie Chen 0075 — Tianjin Vocational Institute, School of Electronic and Information Engineering, Tianjin, China
- Jie Chen 0076 — University of Durham, Department of Physics, Durham, UK (and 2 more)
- Jie Chen 0077 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Jie Chen 0078 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- Jie Chen 0079 — Fudan University, School of Information Science and Engineering, Shanghai, China (and 1 more)
- Jie Chen 0080
- Jie Chen 0081
- Jie Chen 0082
- Jie Chen 0083
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- Jie Chen 0090
- Jie Chen 0091
- Jie Chen 0092
- Jie Chen 0093
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- Jie Chen 0095
- Jie Chen 0096
- Jie Chen 0097
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Books and Theses
- 2013
[b1]Jie Chen:
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). University of Technology of Troyes, France, 2013
Journal Articles
- 2025
- [j118]Danqi Jin, Yitong Chen, Jie Chen, Gongping Huang:
A unified combination scheme for online learning and distributed optimization over networks. Digit. Signal Process. 159: 104970 (2025) - [j117]Danqi Jin, Yitong Chen, Jie Chen, Gongping Huang:
Online learning over distributed low-rank networks via sequential power iteration. Digit. Signal Process. 160: 105038 (2025) - [j116]Yitong Chen, Danqi Jin, Jie Chen, Cédric Richard, Wen Zhang:
Conjugate Gradient and Variance Reduction Based Online ADMM for Low-Rank Distributed Networks. IEEE Signal Process. Lett. 32: 706-710 (2025) - [j115]Xuandi Sun, Roula Nassif, Cédric Richard, Ziye Yang, Jie Chen, Haiyan Wang:
Anomaly Detection in Graph Signals With Complex Wavelet Packet Correlation Mining. IEEE Trans. Circuits Syst. I Regul. Pap. 72(7): 3450-3463 (2025) - [j114]Jianhong Ye, Yi Yu, Badong Chen, Zongsheng Zheng, Jie Chen:
Optimal Subband Adaptive Filter Over Functional Link Neural Network: Algorithms and Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 72(9): 4967-4980 (2025) - [j113]Wei Gao, Jingyu Yang, Yu Zhang, Youssef Akoudad, Jie Chen:
SSAF-Net: A Spatial-Spectral Adaptive Fusion Network for Hyperspectral Unmixing With Endmember Variability. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j112]Wei Gao, Yu Zhang, Youssef Akoudad, Jie Chen:
MSSF-Net: A Multimodal Spectral-Spatial Feature Fusion Network for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j111]Min Zhao, Linruize Tang, Jie Chen:
Unrolling Plug-and-Play Network for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 63: 1-13 (2025) - [j110]Rui Jian Chu, Jie Chen, Susanto Rahardja:
Hyperspectral Texture Metrology Based on Distance Measures in an Information-Theoretic Framework. IEEE Trans. Image Process. 34: 6331-6346 (2025) - [j109]Yitong Chen, Danqi Jin, Jie Chen, Cédric Richard, Wen Zhang, Gongping Huang, Jingdong Chen:
Distributed Online Learning Over Multitask Networks With Rank-One Model. IEEE Trans. Signal Inf. Process. over Networks 11: 314-328 (2025) - 2024
- [j108]Wei Gao, Jingyu Yang, Jie Chen:
Proportional Perturbation Model for Hyperspectral Unmixing Accounting for Endmember Variability. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j107]Wei Gao, Yongjie Cai, Youssef Akoudad, Yang Yang, Jie Chen:
MA-Stereo: Real-Time Stereo Matching via Multi-Scale Attention Fusion and Spatial Error-Aware Refinement. IEEE Robotics Autom. Lett. 9(11): 9954-9961 (2024) - [j106]Ziye Yang, Mengfei Zhang, Jie Chen:
Distributed speech dereverberation using weighted prediction error. Signal Process. 225: 109577 (2024) - [j105]Ziye Yang, Xiang Song, Jie Chen, Cédric Richard, Israel Cohen:
Learning Noise Adapters for Incremental Speech Enhancement. IEEE Signal Process. Lett. 31: 2915-2919 (2024) - [j104]Ziye Yang, Wenxing Yang, Kai Xie, Jie Chen:
Integrating Data Priors to Weighted Prediction Error for Speech Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3908-3923 (2024) - [j103]Wei Gao, Jie Chen, Cédric Richard:
Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm. IEEE Trans. Circuits Syst. II Express Briefs 71(1): 490-494 (2024) - [j102]Mengfei Zhang, Yuchen Dong, Jie Chen, Cédric Richard:
Diffusion-Based Distributed Wave-Domain Active Noise Control With Convex Sum of Non-Convex Quadratic Costs. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1531-1535 (2024) - [j101]Tingting Fang, Fei Zhu, Jie Chen:
Hyperspecral Unmixing Based on Multilinear Mixing Model Using Convolutional Autoencoders. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j100]Min Zhao, Jie Chen, Nicolas Dobigeon:
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j99]Jingen Ni, Yiwei Xing, Zhanyu Zhu, Jie Chen:
Proportionate Total Adaptive Filtering Algorithms for Sparse System Identification. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1840-1852 (2024) - 2023
- [j98]Maboud F. Kaloorazi, Kai Liu, Jie Chen, Rodrigo C. de Lamare, Susanto Rahardja:
Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition. IEEE Access 11: 63650-63666 (2023) - [j97]Zhu Qing, Jingen Ni, Jie Chen, H. C. So:
Diffusion least mean kurtosis algorithm and its performance analysis. Inf. Sci. 638: 118982 (2023) - [j96]Maboud F. Kaloorazi, Kai Liu, Jie Chen, Rodrigo C. de Lamare:
An efficient randomized QLP algorithm for approximating the singular value decomposition. Inf. Sci. 648: 119464 (2023) - [j95]Wei Gao, Di Rao, Yang Yang, Jie Chen:
Edge Devices Friendly Self-Supervised Monocular Depth Estimation via Knowledge Distillation. IEEE Robotics Autom. Lett. 8(12): 8470-8477 (2023) - [j94]Zhu Qing, Jingen Ni, Zhe Li, Engin Cemal Mengüç, Jie Chen, Danilo P. Mandic:
Performance analysis of the augmented complex-valued least mean kurtosis algorithm. Signal Process. 203: 108792 (2023) - [j93]Longbin Yan, Min Zhao, Shumin Liu, Shuaikai Shi, Jie Chen:
Cascaded transformer U-net for image restoration. Signal Process. 206: 108902 (2023) - [j92]Jie Chen, Min Zhao, Xiuheng Wang, Cédric Richard, Susanto Rahardja:
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods. IEEE Signal Process. Mag. 40(2): 61-74 (2023) - [j91]Zeng Li, Jie Chen, Muhammad Mobeen Movania, Susanto Rahardja:
GPU Implementation of Graph-Regularized Sparse Unmixing With Superpixel Structures. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3378-3389 (2023) - [j90]Longbin Yan, Yunxiao Qin, Jie Chen:
Scale-Balanced Real-Time Object Detection With Varying Input-Image Resolution. IEEE Trans. Circuits Syst. Video Technol. 33(1): 242-256 (2023) - [j89]Xiuheng Wang, Jie Chen, Cédric Richard:
Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution With Deep Priors. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j88]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen:
Deep Hyperspectral and Multispectral Image Fusion With Inter-Image Variability. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j87]Min Zhao, Nicolas Dobigeon, Jie Chen:
Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems. IEEE Trans. Image Process. 32: 5692-5704 (2023) - [j86]Xiao Gong, Wei Chen, Lei Sun, Jie Chen, Bo Ai:
An ESPRIT-Based Supervised Channel Estimation Method Using Tensor Train Decomposition for mmWave 3-D MIMO-OFDM Systems. IEEE Trans. Signal Process. 71: 555-570 (2023) - [j85]Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard:
Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm. IEEE Trans. Veh. Technol. 72(6): 7597-7612 (2023) - 2022
- [j84]Yifan Wu, Zhu Qing, Jingen Ni, Jie Chen:
Block-sparse sign algorithm and its performance analysis. Digit. Signal Process. 128: 103620 (2022) - [j83]Jiansen Qiao, Wei Chen, Jie Chen, Bo Ai:
Blind Modulation Classification Under Uncertain Noise Conditions: A Multitask Learning Approach. IEEE Commun. Lett. 26(5): 1027-1031 (2022) - [j82]Shumin Liu, Yuge Zhang, Jie Chen, Keng Pang Lim, Susanto Rahardja:
A Deep Joint Network for Multispectral Demosaicking Based on Pseudo-Panchromatic Images. IEEE J. Sel. Top. Signal Process. 16(4): 622-635 (2022) - [j81]Xiaoli Yang, Min Zhao, Tiande Gao, Jie Chen, Jie Zhang:
Multiscale-Superpixel-Based SparseCEM for Hyperspectral Target Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j80]Min Zhao, Tiande Gao, Jie Chen, Wei Chen:
Hyperspectral Unmixing via Nonnegative Matrix Factorization With Handcrafted and Learned Priors. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j79]Min Zhao, Mou Wang, Jie Chen, Susanto Rahardja:
Perceptual Loss-Constrained Adversarial Autoencoder Networks for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j78]Zhu Qing, Jingen Ni, Zhe Li, Jie Chen:
An improved mean-square performance analysis of the diffusion least stochastic entropy algorithm. Signal Process. 196: 108512 (2022) - [j77]Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang:
Transient Performance Analysis of the $\ell _1$-RLS. IEEE Signal Process. Lett. 29: 90-94 (2022) - [j76]Xiaoli Yang, Min Zhao, Shuaikai Shi, Jie Chen:
Deep Constrained Energy Minimization for Hyperspectral Target Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8049-8063 (2022) - [j75]Xiuheng Wang, Jie Chen, Qi Wei, Cédric Richard:
Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation. IEEE Trans. Circuits Syst. Video Technol. 32(4): 1708-1723 (2022) - [j74]Zeng Li, Yoann Altmann, Jie Chen, Stephen McLaughlin, Susanto Rahardja:
Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j73]Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen:
Deep Generative Model for Spatial-Spectral Unmixing With Multiple Endmember Priors. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j72]Shuaikai Shi, Min Zhao, Lijun Zhang, Yoann Altmann, Jie Chen:
Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j71]Min Zhao, Shuaikai Shi, Jie Chen, Nicolas Dobigeon:
A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j70]Min Zhao, Xiuheng Wang, Jie Chen, Wei Chen:
A Plug-and-Play Priors Framework for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j69]Min Zhao, Mou Wang, Jie Chen, Susanto Rahardja:
Hyperspectral Unmixing for Additive Nonlinear Models With a 3-D-CNN Autoencoder Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - 2021
- [j68]Yulian Zong, Jingen Ni, Jie Chen:
A family of normalized dual sign algorithms. Digit. Signal Process. 110: 102954 (2021) - [j67]Yuge Zhang, Danqi Jin, Jie Chen:
A model-based variable step-size strategy for proximal multitask diffusion LMS algorithm. Digit. Signal Process. 117: 103199 (2021) - [j66]Min Zhao, Longbin Yan, Jie Chen:
Hyperspectral image shadow compensation via cycle-consistent adversarial networks. Neurocomputing 450: 61-69 (2021) - [j65]Min Zhao, Longbin Yan, Jie Chen:
LSTM-DNN Based Autoencoder Network for Nonlinear Hyperspectral Image Unmixing. IEEE J. Sel. Top. Signal Process. 15(2): 295-309 (2021) - [j64]Min Zhao, Jie Chen, Susanto Rahardja:
Hyperspectral Shadow Removal via Nonlinear Unmixing. IEEE Geosci. Remote. Sens. Lett. 18(5): 881-885 (2021) - [j63]Yuchen Dong, Jie Chen, Wen Zhang:
Wave-domain active noise control over distributed networks of multi-channel nodes. Signal Process. 184: 108050 (2021) - [j62]Zhu Qing, Jingen Ni, Zhe Li, Jie Chen:
Selective partial-update augmented complex-valued LMS algorithm and its performance analysis. Signal Process. 188: 108217 (2021) - [j61]Yiwei Xing, Jingen Ni, Jie Chen:
A family of affine projection-type least lncosh algorithms and their step-size optimization. Signal Process. 189: 108258 (2021) - [j60]Haoyuan Cai, Yingke Zhao, Jie Chen, Wei Chen, Maboud F. Kaloorazi:
Online Construction of Variable Span Linear Filters Using a Fixed-Point Approach. IEEE Signal Process. Lett. 28: 404-408 (2021) - [j59]Longbin Yan, Min Zhao, Xiuheng Wang, Yuge Zhang, Jie Chen:
Object Detection in Hyperspectral Images. IEEE Signal Process. Lett. 28: 508-512 (2021) - [j58]Wei Gao, Jie Chen, Cédric Richard:
Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs. IEEE Signal Process. Lett. 28: 1160-1164 (2021) - [j57]Xianghui Wang, Jie Chen, Xiaoyi Chen, Jing Guo, Qian Xiang:
Multichannel Iterative Noise Reduction Filters in the Short-Time-Fourier-Transform Domain Based on Kronecker Product Decomposition. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2725-2740 (2021) - [j56]Ningning Zhang, Jingen Ni, Jie Chen, Zhe Li:
Steady-State Mean-Square Error Performance Analysis of the Tensor LMS Algorithm. IEEE Trans. Circuits Syst. II Express Briefs 68(3): 1043-1047 (2021) - [j55]Mengfei Zhang, Danqi Jin, Jie Chen, Jingen Ni:
Zeroth-Order Diffusion Adaptive Filter Over Networks. IEEE Trans. Signal Process. 69: 589-602 (2021) - [j54]Maboud F. Kaloorazi, Jie Chen:
Projection-Based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices. IEEE Trans. Signal Process. 69: 2218-2232 (2021) - [j53]Jingen Ni, Ye Gao, Xu Chen, Jie Chen:
Bias-Compensated Sign Algorithm for Noisy Inputs and Its Step-Size Optimization. IEEE Trans. Signal Process. 69: 2330-2342 (2021) - [j52]Haoyuan Cai, Maboud Farzaneh Kaloorazi, Jie Chen:
Online Generalized Eigenvectors Extraction Via a Fixed-Point Approach. IEEE Trans. Signal Process. 69: 2435-2451 (2021) - 2020
- [j51]Jie Chen, Huiling Wang, Wei Gao:
A 2020 perspective on "How do goal and product knowledge specificity influence online channel choice? A polynomial regression analysis". Electron. Commer. Res. Appl. 42: 100952 (2020) - [j50]Wenxia Lu, Lijun Zhang, Jie Chen, Jingdong Chen:
Generalized combined nonlinear adaptive filters: From the perspective of diffusion adaptation over networks. Signal Process. 172: 107507 (2020) - [j49]Jingen Ni, Yanan Zhu, Jie Chen:
Multitask diffusion affine projection sign algorithm and its sparse variant for distributed estimation. Signal Process. 172: 107561 (2020) - [j48]Yanna Bai, Wei Chen, Jie Chen, Weisi Guo:
Deep learning methods for solving linear inverse problems: Research directions and paradigms. Signal Process. 177: 107729 (2020) - [j47]Xiao Gong, Wei Chen, Jie Chen, Bo Ai:
Tensor Denoising Using Low-Rank Tensor Train Decomposition. IEEE Signal Process. Lett. 27: 1685-1689 (2020) - [j46]Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed:
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning. IEEE Signal Process. Mag. 37(3): 14-25 (2020) - [j45]Yuchen Dong, Jie Chen, Wen Zhang:
Distributed Wave-Domain Active Noise Control Based on the Diffusion Adaptation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2374-2385 (2020) - [j44]Wei Gao, Yi Xu, Jie Chen:
Stochastic Analysis of Diffusion Dual Sign Algorithm for Cyclostationary White Gaussian Inputs and Nonstationary System. IEEE Trans. Circuits Syst. II Express Briefs 67-II(7): 1354-1358 (2020) - [j43]Wei Gao, Meiru Song, Jie Chen:
Tracking Analysis of Gaussian Kernel Signed Error Algorithm for Time-Variant Nonlinear Systems. IEEE Trans. Circuits Syst. II Express Briefs 67-II(10): 2289-2293 (2020) - [j42]Wei Gao, Jie Chen:
Transient Analysis of Signed LMS Algorithms With Cyclostationary Colored Gaussian Inputs. IEEE Trans. Circuits Syst. 67-II(12): 3562-3566 (2020) - [j41]Longbin Yan, Xiuheng Wang, Min Zhao, Maboud F. Kaloorazi, Jie Chen, Susanto Rahardja:
Reconstruction of Hyperspectral Data From RGB Images With Prior Category Information. IEEE Trans. Computational Imaging 6: 1070-1081 (2020) - [j40]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed:
Convex Combination of Diffusion Strategies Over Networks. IEEE Trans. Signal Inf. Process. over Networks 6: 714-731 (2020) - [j39]Xiao Gong, Wei Chen, Jie Chen:
A Low-Rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising. IEEE Trans. Signal Process. 68: 1168-1180 (2020) - [j38]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed:
Affine Combination of Diffusion Strategies Over Networks. IEEE Trans. Signal Process. 68: 2087-2104 (2020) - [j37]Maboud F. Kaloorazi, Jie Chen:
Efficient Low-Rank Approximation of Matrices Based on Randomized Pivoted Decomposition. IEEE Trans. Signal Process. 68: 3575-3589 (2020) - [j36]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen:
Online Proximal Learning Over Jointly Sparse Multitask Networks With $\ell _{\infty, 1}$ Regularization. IEEE Trans. Signal Process. 68: 6319-6335 (2020) - 2019
- [j35]Wei Gao, Jie Chen:
Performance Analysis of Diffusion LMS for Cyclostationary White Non-Gaussian Inputs. IEEE Access 7: 91243-91252 (2019) - [j34]Wei Gao, Jie Chen:
Transient Performance Analysis of Zero-Attracting Gaussian Kernel LMS Algorithm With Pre-Tuned Dictionary. IEEE Access 7: 135770-135779 (2019) - [j33]Jie Chen, Huiling Wang, Wei Gao:
How do goal and product knowledge specificity influence online channel choice? A polynomial regression analysis. Electron. Commer. Res. Appl. 35 (2019) - [j32]Mou Wang, Min Zhao, Jie Chen, Susanto Rahardja:
Nonlinear Unmixing of Hyperspectral Data via Deep Autoencoder Networks. IEEE Geosci. Remote. Sens. Lett. 16(9): 1467-1471 (2019) - [j31]Zeng Li, Jie Chen, Susanto Rahardja:
Kernel-Based Nonlinear Spectral Unmixing with Dictionary Pruning. Remote. Sens. 11(5): 529 (2019) - [j30]Minglei Li, Fei Zhu, Alan J. X. Guo, Jie Chen:
A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing. Remote. Sens. 11(19): 2188 (2019) - [j29]Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie:
Online Deconvolution for Industrial Hyperspectral Imaging Systems. SIAM J. Imaging Sci. 12(1): 54-86 (2019) - [j28]Maboud Farzaneh Kaloorazi, Jie Chen:
Randomized Truncated Pivoted QLP Factorization for Low-Rank Matrix Recovery. IEEE Signal Process. Lett. 26(7): 1075-1079 (2019) - [j27]Yingke Zhao, Jie Chen, Jingdong Chen:
Recursive Variable Span Linear Filter for Noise Reduction. IEEE Signal Process. Lett. 26(12): 1902-1906 (2019) - [j26]Fei Hua, Cédric Richard, Jie Chen, Haiyan Wang, Pierre Borgnat, Paulo Gonçalves:
Learning Combination of Graph Filters for Graph Signal Modeling. IEEE Signal Process. Lett. 26(12): 1912-1916 (2019) - [j25]Min Zhao, Jie Chen, Zhe He:
A Laboratory-Created Dataset With Ground Truth for Hyperspectral Unmixing Evaluation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(7): 2170-2183 (2019) - [j24]Xiaoli Yang, Jie Chen, Zhe He:
Sparse-SpatialCEM for Hyperspectral Target Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(7): 2184-2195 (2019) - 2018
- [j23]Ye Gao, Jingen Ni, Jie Chen, Xiaoping Chen:
Steady-state and stability analyses of diffusion sign-error LMS algorithm. Signal Process. 149: 62-67 (2018) - [j22]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen:
Model-driven online parameter adjustment for zero-attracting LMS. Signal Process. 152: 373-383 (2018) - 2017
- [j21]Tian Wang, Yang Chen, Mengyi Zhang, Jie Chen, Hichem Snoussi:
Internal Transfer Learning for Improving Performance in Human Action Recognition for Small Datasets. IEEE Access 5: 17627-17633 (2017) - [j20]Jie Chen, Cédric Richard, Ali H. Sayed:
Multitask Diffusion Adaptation Over Networks With Common Latent Representations. IEEE J. Sel. Top. Signal Process. 11(3): 563-579 (2017) - [j19]Wei Gao, Jie Chen:
Kernel Least Mean p-Power Algorithm. IEEE Signal Process. Lett. 24(7): 996-1000 (2017) - 2016
- [j18]Jie Chen, Alfred O. Hero III, Indika Rajapakse:
Spectral identification of topological domains. Bioinform. 32(14): 2151-2158 (2016) - [j17]Jingen Ni, Jian Yang, Jie Chen, Cédric Richard, José Carlos M. Bermudez:
Stochastic behavior of the nonnegative least mean fourth algorithm for stationary Gaussian inputs and slow learning. Signal Process. 128: 18-27 (2016) - [j16]Jie Chen, Cédric Richard, José Carlos M. Bermudez:
Reweighted nonnegative least-mean-square algorithm. Signal Process. 128: 131-141 (2016) - [j15]Jingen Ni, Jie Chen, Xiaoping Chen:
Diffusion sign-error LMS algorithm: Formulation and stochastic behavior analysis. Signal Process. 128: 142-149 (2016) - [j14]Jie Chen, Cédric Richard, Yingying Song, David Brie:
Transient Performance Analysis of Zero-Attracting LMS. IEEE Signal Process. Lett. 23(12): 1786-1790 (2016) - 2015
- [j13]Tian Wang, Jie Chen, Paul Honeine, Hichem Snoussi:
Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks. Int. J. Distributed Sens. Networks 11: 989450:1-989450:9 (2015) - [j12]Jie Chen, Cédric Richard, Ali H. Sayed:
Diffusion LMS Over Multitask Networks. IEEE Trans. Signal Process. 63(11): 2733-2748 (2015) - 2014
- [j11]Jie Chen, José Carlos M. Bermudez, Cédric Richard:
Steady-State Performance of Non-Negative Least-Mean-Square Algorithm and Its Variants. IEEE Signal Process. Lett. 21(8): 928-932 (2014) - [j10]Jie Chen, Cédric Richard, Paul Honeine:
Nonlinear Estimation of Material Abundances in Hyperspectral Images With ℓ1-Norm Spatial Regularization. IEEE Trans. Geosci. Remote. Sens. 52(5): 2654-2665 (2014) - [j9]Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang:
Online Dictionary Learning for Kernel LMS. IEEE Trans. Signal Process. 62(11): 2765-2777 (2014) - [j8]Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine:
Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis. IEEE Trans. Signal Process. 62(15): 3990-4005 (2014) - [j7]Jie Chen, Cédric Richard, Ali H. Sayed:
Multitask Diffusion Adaptation Over Networks. IEEE Trans. Signal Process. 62(16): 4129-4144 (2014) - 2013
- [j6]Tian Wang, Jie Chen, Hichem Snoussi:
Online Detection of Abnormal Events in Video Streams. J. Electr. Comput. Eng. 2013: 837275:1-837275:12 (2013) - [j5]Tian Wang, Jie Chen, Yi Zhou, Hichem Snoussi:
Online Least Squares One-Class Support Vector Machines-Based Abnormal Visual Event Detection. Sensors 13(12): 17130-17155 (2013) - [j4]Jie Chen, Cédric Richard, Paul Honeine:
Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model. IEEE Trans. Signal Process. 61(2): 480-492 (2013) - 2011
- [j3]Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine:
Nonnegative Least-Mean-Square Algorithm. IEEE Trans. Signal Process. 59(11): 5225-5235 (2011) - 2010
- [j2]Paul Honeine, Cédric Richard, José Carlos M. Bermudez, Jie Chen, Hichem Snoussi:
A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks. EURASIP J. Wirel. Commun. Netw. 2010 (2010) - 2008
- [j1]Jie Chen, Vidhyacharan Bhaskar:
Error Probability Distribution and Density Functions for Rayleigh and Rician Fading Channels with Diversity. Int. J. Wirel. Inf. Networks 15(1): 53-60 (2008)
Conference and Workshop Papers
- 2025
- [c80]Junding Zhang, Di Rao, Youssef Akoudad, Wei Gao, Jie Chen:
Lightweight Self-Supervised Monocular Depth Estimation for All-Day Scenes Using Generative Adversarial Network. ICASSP 2025: 1-5 - [c79]Yitong Chen, Danqi Jin, Jie Chen, Wen Zhang, Jingdong Chen:
Rank-adaptive Learning over Distributed Low-rank Networks via Online HQS Algorithm. SSP 2025: 1-5 - 2024
- [c78]Danqi Jin, Yitong Chen, Jie Chen, Gongping Huang:
Affine Combination of General Adaptive Filters. APSIPA 2024: 1-5 - [c77]Yitong Chen, Danqi Jin, Jie Chen, Cédric Richard, Wen Zhang, Gongping Huang, Jingdong Chen:
Online Parameter Estimation Over Distributed Multitask Networks with a Rank-One Model. EUSIPCO 2024: 1042-1046 - [c76]Shumin Liu, Jie Chen, Keng-Pang Lim, Susanto Rahardja:
A Fast and Effective Golomb Code with Asymmetric Numerical System. ICSPCC 2024: 1-5 - [c75]Linruize Tang, Yingjie Song, Jinwei Li, Qiang Li, Rengang Li, Ruidong Li, Jie Chen:
Hyperspectral Anomaly Detection with CNN-Based VAE and RX Algorithm. ICSPCC 2024: 1-5 - [c74]Ziye Yang, Jie Chen, Cédric Richard, Junjie Li:
Plug-and-Play WPE Guided by Deep Spectrum Estimation for Speech Dereverberation. ICSPCC 2024: 1-5 - 2023
- [c73]Mengfei Zhang, Jie Chen, Cédric Richard:
Distributed Learning with Convex SUM-of -Non-Convex Objective. CAMSAP 2023: 36-40 - [c72]Mengfei Zhang, Junqing Zhang, Jie Chen, Cédric Richard:
Distributed Pressure Matching for Personal Sound Zone Control Using Diffusion Adaptation. CAMSAP 2023: 501-505 - [c71]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen:
Change Point Detection with Neural Online Density-Ratio Estimator. ICASSP 2023: 1-5 - [c70]Shumin Liu, Jie Chen, Susanto Rahardja:
An Alternative to Bilinear and Nearest-Neighbour Enlarging for Monitor Displays. ICIP 2023: 1950-1954 - [c69]Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang:
Adaptive Random Fourier Features Kernel LMS. ICSPCC 2023: 1-6 - [c68]Linruize Tang, Min Zhao, Shuaikai Shi, Jie Chen, Jinwei Li, Qiang Li, Rengang Li:
Tobacco Impurities Detection with Deep Image Segmentation Method on Hyperspectral Imaging. ICSPCC 2023: 1-5 - [c67]Yun Wang, Shuaikai Shi, Jie Chen:
Efficient Blind Hyperspectral Unmixing with Non-Local Spatial Information Based on Swin Transformer. IGARSS 2023: 5898-5901 - [c66]Yingjie Song, Shuaikai Shi, Jie Chen:
Deep-RX for Hyperspectral Anomaly Detection. IGARSS 2023: 7348-7351 - 2022
- [c65]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen:
Deep Image Fusion Accounting for Inter-Image Variability. IEEECONF 2022: 645-649 - [c64]Xiuheng Wang, Jie Chen, Cédric Richard:
Hyperspectral Image Super-Resolution with Deep Priors and Degradation Model Inversion. ICASSP 2022: 2814-2818 - [c63]Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang:
Transient Analysis of Clustered Multitask Diffusion RLS Algorithm. ICASSP 2022: 5962-5966 - [c62]Min Zhao, Jie Chen:
Hyperspectral Unmixing Powered by Deep Image Priors and Denoising Regularization. IGARSS 2022: 1776-1779 - [c61]Xiaoli Yang, Min Zhao, Shuaikai Shi, Jie Chen:
Constrained Energy Minimization with a DNN Detector. IGARSS 2022: 3283-3286 - [c60]Wei Gao, Yi Xu, Jie Chen, Cédric Richard:
Transient Analysis of Diffusion Recursive Least Squares via Signed Error Algorithm for Cyclostationary Colored Inputs. MLSP 2022: 1-6 - [c59]Linruize Tang, Longbin Yan, Jie Chen:
DB-GAN: A Low Contrast Image Enhancer Based on NIR-RGB Fusion. MLSP 2022: 1-6 - 2021
- [c58]Shuaikai Shi, Min Zhao, Lijun Zhang, Jie Chen:
Variational Autoencoders for Hyperspectral Unmixing with Endmember Variability. ICASSP 2021: 1875-1879 - [c57]Xiao Gong, Wei Chen, Xuying Chen, Jie Chen, Bo Ai:
A TTSVD-Enhanced Fast and Accurate Channel Estimation Method for Dual-Polarized Massive MIMO Systems. ICSPCC 2021: 1-5 - [c56]Maboud F. Kaloorazi, Jie Chen, Fei Li, Dan Wu:
An Efficient Randomized Low-Rank Matrix Factorization with Application to Robust PCA. ICSPCC 2021: 1-5 - [c55]Jinyan Liu, Longbin Yan, Jie Chen:
A Coarse-to-Fine Object Detection Framework for High-Resolution Images with Sparse Objects. MLSP 2021: 1-6 - 2020
- [c54]R. A. Borsoi, Cédric Richard, André Ferrari, Jie Chen, José Carlos M. Bermudez:
Online Graph-Based Change Point Detection in Multiband Image Sequences. EUSIPCO 2020: 850-854 - [c53]Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard:
Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method. EUSIPCO 2020: 2353-2357 - [c52]Xiuheng Wang, Jie Chen, Cédric Richard, David Brie:
Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution. ICASSP 2020: 2403-2407 - [c51]Fei Zhu, Paul Honeine, Jie Chen:
Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data. ICASSP 2020: 4737-4741 - [c50]Maboud Farzaneh Kaloorazi, Jie Chen:
Low-Rank Approximation of Matrices Via A Rank-Revealing Factorization with Randomization. ICASSP 2020: 5815-5819 - [c49]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen:
Proximal Multitask Learning Over Distributed Networks with Jointly Sparse Structure. ICASSP 2020: 5900-5904 - [c48]Yuchen Dong, Jie Chen, Wen Zhang:
Distributed Wave-Domain Active Noise Control Based on the Diffusion Strategy. ICASSP 2020: 8429-8433 - [c47]Xiuheng Wang, Min Zhao, Jie Chen:
Hyperspectral Unmixing Via Plug-And-Play Priors. ICIP 2020: 1063-1067 - [c46]Wei Gao, Meiru Song, Jie Chen, Lingling Zhang:
Random Fourier Features Multi-Kernel LMS Algorithm. ICSPCC 2020: 1-6 - [c45]Xinjue Wang, Jie Chen:
Distributed Principal Component Analysis Based on Randomized Low-Rank Approximation. ICSPCC 2020: 1-5 - [c44]Mengfei Zhang, Danqi Jin, Jie Chen:
Variance Reduced Diffusion Adaptation For Online Learning Over Networks. ICSPCC 2020: 1-5 - [c43]Yuge Zhang, Min Zhao, Longbin Yan, Tiande Gao, Jie Chen:
CNN-Based Anomaly Detection For Face Presentation Attack Detection With Multi-Channel Images. VCIP 2020: 189-192 - [c42]Zeng Li, Yoann Altmann, Jie Chen, Steve McLaughlin, Susanto Rahardja:
Sparse Spectral Unmixing of Hyperspectral Images using Expectation-Propagation. VCIP 2020: 197-200 - [c41]Panpan Zhang, Xiuheng Wang, Tiande Gao, Zhenfu Feng, Jie Chen:
Extending CCSDS 123.0-B-1 for Lossless 4D Image Compression. VCIP 2020: 435-438 - [c40]Longbin Yan, Xiuheng Wang, Min Zhao, Shumin Liu, Jie Chen:
A Multi-Model Fusion Framework for NIR-to-RGB Translation. VCIP 2020: 459-462 - 2019
- [c39]Wenxia Lu, Lijun Zhang, Jie Chen, Jingdong Chen:
Generalized Combined Nonlinear Adaptive Filters for Nonlinear Acoustic Echo Cancellation. APSIPA 2019: 1220-1225 - [c38]B. B. Gallo, Sérgio J. M. de Almeida, José C. M. Bermudez, Jie Chen, Cédric Richard:
Non-Destructive Prediction of Pork Meat Degradation using a Stacked Autoencoder Classifier on Hyperspectral Images. EUSIPCO 2019: 1-5 - [c37]Jingli Xie, Danqi Jin, Wen Zhang, Xiao-Lei Zhang, Jie Chen, DeLiang Wang:
Robust Sparse Multichannel Active Noise Control. ICASSP 2019: 521-525 - [c36]Maboud F. Kaloorazi, Jie Chen:
Low-rank Matrix Approximation Based on Intermingled Randomized Decomposition. ICASSP 2019: 7475-7479 - 2018
- [c35]Sijia Liu, Jie Chen, Pin-Yu Chen, Alfred O. Hero III:
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications. AISTATS 2018: 288-297 - [c34]Danqi Jin, Jie Chen, Jingdong Chen:
Convex Combination of Diffusion Strategies Over Distributed Networks. APSIPA 2018: 224-228 - [c33]Kangwei Hu, Danqi Jin, Wen Zhang, Jie Chen:
Distributed Optimization of Quadratic Costs with a Group-Sparsity Regularization Via PDMM. APSIPA 2018: 1825-1830 - [c32]Zeng Li, Jie Chen, Susanto Rahardja:
Superpixel construction for hyperspectral unmixing. EUSIPCO 2018: 647-651 - [c31]Longbin Yan, Jie Chen:
Non-intrusive fingerprints extraction from hyperspectral imagery. EUSIPCO 2018: 1432-1436 - [c30]Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed:
Distributed Diffusion Adaptation Over Graph Signals. ICASSP 2018: 4129-4133 - [c29]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen:
Adaptive Parameters Adjustment for Group Reweighted Zero-Attracting LMS. ICASSP 2018: 4294-4298 - [c28]Jie Chen, Sijia Liu, Pin-Yu Chen:
Zeroth-Order Diffusion Adaptation Over Networks. ICASSP 2018: 4324-4328 - [c27]Xiaoli Yang, Zeng Li, Jie Chen:
Spatially Regularzied Sparsecem for Target Detection in Hyperspectral Images. IGARSS 2018: 2765-2768 - [c26]Min Zhao, Jie Chen:
A Dataset with Ground-Truth for Hyperspectral Unmixing. IGARSS 2018: 5077-5080 - [c25]Xiaoli Yang, Jie Chen, Yi Zhang:
Hyperspectral Target Detection Based on a Spatially Regularized Sparse Representation. WCSP 2018: 1-5 - [c24]Xiaoli Yang, Zeng Li, Jie Chen, Yi Zhang:
Hyperspectral Image Classification VIA a Joint Sparsity and Spatial Correlation Model. WCSP 2018: 1-5 - 2017
- [c23]Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed:
A graph diffusion LMS strategy for adaptive graph signal processing. ACSSC 2017: 1973-1976 - [c22]Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie:
Online deconvolution for pushbroom hyperspectral imaging systems. CAMSAP 2017: 1-5 - 2016
- [c21]Roula Nassif, Cédric Richard, Jie Chen, André Ferrari, Ali H. Sayed:
Diffusion LMS over multitask networks with noisy links. ICASSP 2016: 4583-4587 - [c20]Jie Chen, Shang-Kee Ting, Cédric Richard, Ali H. Sayed:
Group diffusion LMS. ICASSP 2016: 4925-4929 - [c19]Jie Chen, Cédric Richard:
Robust nonlinear unmixing of hyperspectral images with a linear-mixture/nonlinear-fluctuation model. IGARSS 2016: 7002-7005 - 2015
- [c18]Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang:
Diffusion adaptation over networks with kernel least-mean-square. CAMSAP 2015: 217-220 - [c17]Jie Chen, Cédric Richard, Ali H. Sayed:
Adaptive clustering for multitask diffusion networks. EUSIPCO 2015: 200-204 - [c16]Wei Gao, Jie Chen, Cédric Richard, José Carlos M. Bermudez, Jianguo Huang:
Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary. ICASSP 2015: 2006-2010 - 2014
- [c15]Jie Chen, Cédric Richard, Ali H. Sayed:
Diffusion LMS for clustered multitask networks. ICASSP 2014: 5487-5491 - [c14]Jie Chen, Wei Gao, Cédric Richard, José Carlos M. Bermudez:
Convergence analysis of kernel LMS algorithm with pre-tuned dictionary. ICASSP 2014: 7243-7247 - [c13]Jie Chen, Cédric Richard, Alfred O. Hero III:
Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization. ICASSP 2014: 7954-7958 - [c12]Jie Chen, Cédric Richard, Alfred O. Hero III, Ali H. Sayed:
Diffusion LMS for multitask problems with overlapping hypothesis subspaces. MLSP 2014: 1-6 - 2013
- [c11]Jie Chen, Cédric Richard:
Performance analysis of diffusion LMS in multitask networks. CAMSAP 2013: 137-140 - [c10]Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine:
Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm. EUSIPCO 2013: 1-5 - [c9]Jie Chen, Cédric Richard, André Ferrari, Paul Honeine:
Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. ICASSP 2013: 2174-2178 - [c8]Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang, Rémi Flamary:
Kernel LMS algorithm with forward-backward splitting for dictionary learning. ICASSP 2013: 5735-5739 - [c7]Jie Chen, Cédric Richard, Paul Honeine:
Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model. WHISPERS 2013: 1-4 - 2012
- [c6]Jie Chen, Cédric Richard, Paul Honeine, Jean-Yves Tourneret:
Prediction of rain attenuation series based on discretized spectral model. IGARSS 2012: 2407-2410 - [c5]Jie Chen, Cédric Richard, Paul Honeine:
Nonlinear unmixing of hyperspectral images based on multi-kernel learning. WHISPERS 2012: 1-4 - 2011
- [c4]Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine:
A modified non-negative LMS algorithm and its stochastic behavior analysis. ACSCC 2011: 542-546 - [c3]Jie Chen, Cédric Richard, Paul Honeine:
A novel kernel-based nonlinear unmixing scheme of hyperspectral images. ACSCC 2011: 1898-1902 - [c2]Jie Chen, Cédric Richard, Henri Lantéri, Céline Theys, Paul Honeine:
Online system identification under non-negativity and ℓ1-norm constraints algorithm and weight behavior analysis. EUSIPCO 2011: 1919-1923 - 2010
- [c1]Jie Chen, Cédric Richard, Paul Honeine, Henri Lantéri, Céline Theys:
System identification under non-negativity constraints. EUSIPCO 2010: 1728-1732
Informal and Other Publications
- 2023
- [i27]Jinyan Liu, Jie Chen:
A Coarse to Fine Framework for Object Detection in High Resolution Image. CoRR abs/2303.01219 (2023) - [i26]Min Zhao, Nicolas Dobigeon, Jie Chen:
Guided Deep Generative Model-based Spatial Regularization for Multiband Imaging Inverse Problems. CoRR abs/2306.17197 (2023) - [i25]Min Zhao, Jie Chen, Nicolas Dobigeon:
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. CoRR abs/2307.00269 (2023) - [i24]Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen:
Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency. CoRR abs/2307.03413 (2023) - [i23]Shuaikai Shi, Lijun Zhang, Jie Chen:
Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model. CoRR abs/2307.03423 (2023) - [i22]Mengfei Zhang, Junqing Zhang, Jie Chen, Cédric Richard:
Distributed pressure matching strategy using diffusion adaptation. CoRR abs/2311.07729 (2023) - 2022
- [i21]Xiuheng Wang, Jie Chen, Cédric Richard:
Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion. CoRR abs/2201.09851 (2022) - [i20]Maboud F. Kaloorazi, Kai Liu, Jie Chen, Rodrigo C. de Lamare, Susanto Rahardja:
Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition. CoRR abs/2209.12464 (2022) - [i19]Jianyu Wang, Linruize Tang, Jie Chen, Jingdong Chen:
Robust Manifold Nonnegative Tucker Factorization for Tensor Data Representation. CoRR abs/2211.03934 (2022) - [i18]Longbin Yan, Yunxiao Qin, Shumin Liu, Jie Chen:
Dual Complementary Dynamic Convolution for Image Recognition. CoRR abs/2211.06163 (2022) - [i17]Xiuheng Wang, Jie Chen, Cédric Richard:
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors. CoRR abs/2211.15307 (2022) - 2021
- [i16]Maboud F. Kaloorazi, Jie Chen:
Projection-based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices. CoRR abs/2103.07245 (2021) - [i15]Maboud F. Kaloorazi, Jie Chen, Rodrigo C. de Lamare:
A QLP Decomposition via Randomization. CoRR abs/2110.01011 (2021) - 2020
- [i14]Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed:
Multitask learning over graphs. CoRR abs/2001.02112 (2020) - [i13]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed:
Affine Combination of Diffusion Strategies over Networks. CoRR abs/2002.03209 (2020) - [i12]Yanna Bai, Wei Chen, Jie Chen, Weisi Guo:
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms. CoRR abs/2007.13290 (2020) - [i11]Min Zhao, Tiande Gao, Jie Chen, Wei Chen:
Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors. CoRR abs/2010.04611 (2020) - 2019
- [i10]Min Zhao, Jie Chen, Zhe He:
A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation. CoRR abs/1902.08347 (2019) - 2017
- [i9]Jie Chen, Cédric Richard, Ali H. Sayed:
Multitask diffusion adaptation over networks with common latent representations. CoRR abs/1702.03614 (2017) - [i8]Simone Scardapane, Jie Chen, Cédric Richard:
Adaptation and learning over networks for nonlinear system modeling. CoRR abs/1704.08913 (2017) - [i7]Sijia Liu, Jie Chen, Pin-Yu Chen, Alfred O. Hero III:
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications. CoRR abs/1710.07804 (2017) - 2016
- [i6]Jie Chen, Cédric Richard, Yingying Song, David Brie:
Transient performance analysis of zero-attracting LMS. CoRR abs/1608.07046 (2016) - 2015
- [i5]Jingen Ni, Jian Yang, Jie Chen, Cédric Richard, José Carlos M. Bermudez:
Stochastic Behavior of the Nonnegative Least Mean Fourth Algorithm for Stationary Gaussian Inputs and Slow Learning. CoRR abs/1508.05873 (2015) - 2014
- [i4]Jie Chen, José Carlos M. Bermudez, Cédric Richard:
Steady-state performance of non-negative least-mean-square algorithm and its variants. CoRR abs/1401.6376 (2014) - [i3]Jie Chen, Cédric Richard, Ali H. Sayed:
Diffusion LMS over Multitask Networks. CoRR abs/1404.6813 (2014) - 2013
- [i2]Jie Chen, Cédric Richard, Ali H. Sayed:
Diffusion LMS for clustered multitask networks. CoRR abs/1310.8615 (2013) - [i1]Jie Chen, Cédric Richard, Ali H. Sayed:
Multitask Diffusion Adaptation over Networks. CoRR abs/1311.4894 (2013)
Coauthor Index
José Carlos M. Bermudez
aka: José C. M. Bermudez
aka: José C. M. Bermudez
Maboud F. Kaloorazi
aka: Maboud Farzaneh Kaloorazi
aka: Maboud Farzaneh Kaloorazi
[j116] [j115] [j109] [j105] [j103] [j102] [j92] [j89] [j88] [j85] [j77] [j75] [j58] [j46] [j40] [j38] [j36] [j29] [j26] [j22] [j20] [j17] [j16] [j14] [j12] [j11] [j10] [j9] [j8] [j7] [j4] [j3] [j2] [c77] [c74] [c73] [c72] [c71] [c69] [c65] [c64] [c63] [c60] [c54] [c53] [c52] [c49] [c38] [c30] [c29] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i22] [i21] [i17] [i14] [i13] [i9] [i8] [i6] [i5] [i4] [i3] [i2] [i1]
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-10-24 03:08 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
