An automatic additive and multiplicative noise removal scheme with sharpness preservation. - Jing Qin 003; Weihong Guo 002 (ISBI, 2011)

An efficient compressive sensing MR image reconstruction scheme. - Jing Qin 003; Weihong Guo 002 (ISBI, 2013)

Two-stage Geometric Information Guided Image Reconstruction. - Jing Qin 003; Weihong Guo 002 (CoRR, 2014)

Domain decomposition method for image deblurring. - Jing Xu 004; Huibin Chang; Jing Qin 003 (J. Comput. Appl. Math., 2014)

A New Detail-Preserving Regularization Scheme. - Weihong Guo 002; Jing Qin 003; Wotao Yin (SIAM J. Imaging Sci., 2014)

Graph fractional-order total variation EEG source reconstruction. - Ying Li 009; Jing Qin 003; Stanley J. Osher; Wentai Liu (EMBC, 2016)

A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity. - Fang Li 004; Stanley J. Osher; Jing Qin 003; Ming Yan 006 (J. Sci. Comput., 2016)

Supervised EEG Source Imaging with Graph Regularization in Transformed Domain. - Feng Liu 011; Jing Qin 003; Shouyi Wang; Jay M. Rosenberger; Jianzhong Su (BI, 2017)

EEG source imaging based on spatial and temporal graph structures. - Jing Qin 003; Feng Liu 011; Shouyi Wang; Jay M. Rosenberger (IPTA, 2017)

Accelerated high-resolution EEG source imaging. - Jing Qin 003; Tianyu Wu; Ying Li 009; Wotao Yin; Stanley J. Osher; Wentai Liu (NER, 2017)

Stochastic Greedy Algorithms For Multiple Measurement Vectors. - Jing Qin 003; Shuang Li 003; Deanna Needell; Anna Ma; Rachel Grotheer; Chenxi Huang 006; Natalie Durgin (CoRR, 2017)

Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (CoRR, 2017)

Robust fuzzy local information and L p -norm distance-based image segmentation method. - Fang Li 004; Jing Qin 003 (IET Image Process., 2017)

Current Design with Minimum Error in Transcranial Direct Current Stimulation. - Jing Qin 003; Yushan Wang; Wentai Liu (BI, 2018)

Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization. - Feng Liu 011; Shouyi Wang; Jing Qin 003; Yifei Lou; Jay M. Rosenberger (BI, 2018)

Robust Super-Resolution Image Reconstruction Method for Geometrically Deformed Remote Sensing Images. - Jing Qin 003; Igor Yanovsky (IGARSS, 2018)

A novel fluorescence microscopy image deconvolution approach. - Jing Qin 003; Xiyu Yi; Shimon Weiss (ISBI, 2018)

Compressed Anomaly Detection with Multiple Mixed Observations. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (CoRR, 2018)

L1-2 Regularized Logistic Regression. - Jing Qin 003; Yifei Lou (ACSSC, 2019)

Jointly Sparse Signal Recovery with Prior Info. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (ACSSC, 2019)

Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (EMBC, 2019)

Fast Blind Hyperspectral Unmixing Based On Graph Laplacian. - Jing Qin 003; Harlin Lee; Jocelyn T. Chi; Yifei Lou; Jocelyn Chanussot; Andrea L. Bertozzi (WHISPERS, 2019)

Iterative Hard Thresholding for Low CP-rank Tensor Models. - Rachel Grotheer; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (CoRR, 2019)

Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. - Rachel Grotheer; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (ITA, 2020)

Automatic prior shape selection for image edge detection with modified Mumford-Shah model. - Yuying Shi; Zhimei Huo; Jing Qin 003; Yilin Li (Comput. Math. Appl., 2020)

Non-blind and Blind Deconvolution Under Poisson Noise Using Fractional-Order Total Variation. - Mujibur Rahman Chowdhury; Jing Qin 003; Yifei Lou (J. Math. Imaging Vis., 2020)

Spatio-Temporal Super-Resolution Reconstruction of Remote Sensing Data. - Igor Yanovsky; Jing Qin 003 (IGARSS, 2021)

Hand Gesture Recognition Based on a Nonconvex Regularization. - Jing Qin 003; Joshua Ashley; Biyun Xie (CoRR, 2021)

A Novel Regularization Based on the Error Function for Sparse Recovery. - Weihong Guo 002; Yifei Lou; Jing Qin 003; Ming Yan 006 (J. Sci. Comput., 2021)

Regularized Kaczmarz Algorithms for Tensor Recovery. - Xuemei Chen; Jing Qin 003 (SIAM J. Imaging Sci., 2021)

Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization. - Jing Qin 003; Harlin Lee; Jocelyn T. Chi; Lucas Drumetz; Jocelyn Chanussot; Yifei Lou; Andrea L. Bertozzi (IEEE Trans. Geosci. Remote. Sens., 2021)

Robust Dual-Graph Regularized Moving Object Detection. - Jing Qin 003; Ruilong Shen; Ruihan Zhu; Biyun Xie (CoRR, 2022)

Stochastic Natural Thresholding Algorithms. - Rachel Grotheer; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (ACSSC, 2023)

Human Motion Detection Based on Dual-Graph and Weighted Nuclear Norm Regularizations. - Jing Qin 003; Biyun Xie (CoRR, 2023)

Feature Selection for Hand Gesture Recognition in Human-Robot Interaction. - Matthew McCarver; Jing Qin 003; Biyun Xie (RO-MAN, 2024)

Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness. - Weihong Guo 002; Yifei Lou; Jing Qin 003; Ming Yan 006 (CoRR, 2024)

Federated Gradient Matching Pursuit. - Halyun Jeong; Deanna Needell; Jing Qin 003 (IEEE Trans. Inf. Theory, 2024)