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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.org/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 — Tongji University, Shanghai Institute of Intelligent Science and Technology, Shanghai, China (and 2 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)
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2020 – today
- 2024
[j104]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)- [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) - [c72]Mengfei Zhang, Jie Chen, Cédric Richard:
Distributed Learning with Convex SUM-of -Non-Convex Objective. CAMSAP 2023: 36-40 - [c71]Mengfei Zhang, Junqing Zhang, Jie Chen, Cédric Richard:
Distributed Pressure Matching for Personal Sound Zone Control Using Diffusion Adaptation. CAMSAP 2023: 501-505 - [c70]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen:
Change Point Detection with Neural Online Density-Ratio Estimator. ICASSP 2023: 1-5 - [c69]Shumin Liu, Jie Chen, Susanto Rahardja:
An Alternative to Bilinear and Nearest-Neighbour Enlarging for Monitor Displays. ICIP 2023: 1950-1954 - [c68]Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang:
Adaptive Random Fourier Features Kernel LMS. ICSPCC 2023: 1-6 - [c67]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 - [c66]Yun Wang, Shuaikai Shi, Jie Chen:
Efficient Blind Hyperspectral Unmixing with Non-Local Spatial Information Based on Swin Transformer. IGARSS 2023: 5898-5901 - [c65]Yingjie Song, Shuaikai Shi, Jie Chen:
Deep-RX for Hyperspectral Anomaly Detection. IGARSS 2023: 7348-7351 - [i24]Jinyan Liu, Jie Chen:
A Coarse to Fine Framework for Object Detection in High Resolution Image. CoRR abs/2303.01219 (2023) - [i23]Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen:
Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency. CoRR abs/2307.03413 (2023) - [i22]Shuaikai Shi, Lijun Zhang, Jie Chen:
Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model. CoRR abs/2307.03423 (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) - [c64]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen:
Deep Image Fusion Accounting for Inter-Image Variability. IEEECONF 2022: 645-649 - [c63]Xiuheng Wang, Jie Chen, Cédric Richard:
Hyperspectral Image Super-Resolution with Deep Priors and Degradation Model Inversion. ICASSP 2022: 2814-2818 - [c62]Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang:
Transient Analysis of Clustered Multitask Diffusion RLS Algorithm. ICASSP 2022: 5962-5966 - [c61]Min Zhao, Jie Chen:
Hyperspectral Unmixing Powered by Deep Image Priors and Denoising Regularization. IGARSS 2022: 1776-1779 - [c60]Xiaoli Yang, Min Zhao, Shuaikai Shi, Jie Chen:
Constrained Energy Minimization with a DNN Detector. IGARSS 2022: 3283-3286 - [c59]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 - [c58]Linruize Tang, Longbin Yan, Jie Chen:
DB-GAN: A Low Contrast Image Enhancer Based on NIR-RGB Fusion. MLSP 2022: 1-6 - [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
- [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) - [c57]Shuaikai Shi, Min Zhao, Lijun Zhang, Jie Chen:
Variational Autoencoders for Hyperspectral Unmixing with Endmember Variability. ICASSP 2021: 1875-1879 - [c56]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 - [c55]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 - [c54]Jinyan Liu, Longbin Yan, Jie Chen:
A Coarse-to-Fine Object Detection Framework for High-Resolution Images with Sparse Objects. MLSP 2021: 1-6 - [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
- [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) - [c53]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 - [c52]Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard:
Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method. EUSIPCO 2020: 2353-2357 - [c51]Xiuheng Wang, Jie Chen, Cédric Richard, David Brie:
Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution. ICASSP 2020: 2403-2407 - [c50]Fei Zhu, Paul Honeine, Jie Chen:
Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data. ICASSP 2020: 4737-4741 - [c49]Maboud Farzaneh Kaloorazi, Jie Chen:
Low-Rank Approximation of Matrices Via A Rank-Revealing Factorization with Randomization. ICASSP 2020: 5815-5819 - [c48]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen:
Proximal Multitask Learning Over Distributed Networks with Jointly Sparse Structure. ICASSP 2020: 5900-5904 - [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 - [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)
2010 – 2019
- 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) - [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 - [i10]Min Zhao, Jie Chen, Zhe He:
A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation. CoRR abs/1902.08347 (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) - [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
- [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) - [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 - [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
- [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) - [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 - [i6]Jie Chen, Cédric Richard, Yingying Song, David Brie:
Transient performance analysis of zero-attracting LMS. CoRR abs/1608.07046 (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) - [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 - [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
- [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) - [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 - [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
- [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 - [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) - [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 - [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) - 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
- [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) - [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
- [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) - [c1]Jie Chen, Cédric Richard, Paul Honeine, Henri Lantéri, Céline Theys:
System identification under non-negativity constraints. EUSIPCO 2010: 1728-1732
2000 – 2009
- 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)
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
[j103] [j102] [j92] [j89] [j88] [j85] [c72] [c71] [c70] [c68] [j77] [j75] [c64] [c63] [c62] [c59] [i21] [i17] [j58] [j46] [j40] [j38] [j36] [c53] [c52] [c51] [c48] [i14] [i13] [j29] [j26] [c38] [j22] [c30] [c29] [j20] [c23] [c22] [i9] [i8] [j17] [j16] [j14] [c21] [c20] [c19] [i6] [j12] [c18] [c17] [c16] [i5] [j11] [j10] [j9] [j8] [j7] [c15] [c14] [c13] [c12] [i4] [i3] [j4] [c11] [c10] [c9] [c8] [c7] [i2] [i1] [c6] [c5] [j3] [c4] [c3] [c2] [j2] [c1]
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