Jing Qin

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 32

Top Topics

Hard Thresholding

Total Variation

Multiphase Image Segmentation

Top Venues

SIAM J. Imaging Sci.

Publications

Halyun Jeong, Deanna Needell, Jing Qin
Federated Gradient Matching Pursuit. IEEE Trans. Inf. Theory 70 (6) (2024)
Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness. CoRR (2024)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Natural Thresholding Algorithms. ACSSC (2023)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Natural Thresholding Algorithms. CoRR (2023)
Halyun Jeong, Deanna Needell, Jing Qin
Federated Gradient Matching Pursuit. CoRR (2023)
Jing Qin, Harlin Lee, Jocelyn T. Chi, Lucas Drumetz, Jocelyn Chanussot, Yifei Lou, Andrea L. Bertozzi
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 59 (4) (2021)
Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
A Novel Regularization Based on the Error Function for Sparse Recovery. J. Sci. Comput. 87 (1) (2021)
Xuemei Chen, Jing Qin
Regularized Kaczmarz Algorithms for Tensor Recovery. SIAM J. Imaging Sci. 14 (4) (2021)
Igor Yanovsky, Jing Qin
Spatio-Temporal Super-Resolution Reconstruction of Remote Sensing Data. IGARSS (2021)
Yuying Shi, Zhimei Huo, Jing Qin, Yilin Li
Automatic prior shape selection for image edge detection with modified Mumford-Shah model. Comput. Math. Appl. 79 (6) (2020)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. ITA (2020)
Mujibur Rahman Chowdhury, Jing Qin, Yifei Lou
Non-blind and Blind Deconvolution Under Poisson Noise Using Fractional-Order Total Variation. J. Math. Imaging Vis. 62 (9) (2020)
Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
A Novel Regularization Based on the Error Function for Sparse Recovery. CoRR (2020)
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity. EMBC (2019)
Jing Qin, Harlin Lee, Jocelyn T. Chi, Yifei Lou, Jocelyn Chanussot, Andrea L. Bertozzi
Fast Blind Hyperspectral Unmixing Based On Graph Laplacian. WHISPERS (2019)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Iterative Hard Thresholding for Low CP-rank Tensor Models. CoRR (2019)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. CoRR (2019)
Jing Qin, Yifei Lou
L1-2 Regularized Logistic Regression. ACSSC (2019)
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Jointly Sparse Signal Recovery with Prior Info. ACSSC (2019)
Jing Qin, Yushan Wang, Wentai Liu
Current Design with Minimum Error in Transcranial Direct Current Stimulation. BI (2018)
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Compressed Anomaly Detection with Multiple Mixed Observations. CoRR (2018)
Jing Qin, Igor Yanovsky
Robust Super-Resolution Image Reconstruction Method for Geometrically Deformed Remote Sensing Images. IGARSS (2018)
Feng Liu, Shouyi Wang, Jing Qin, Yifei Lou, Jay M. Rosenberger
Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization. BI (2018)
Jing Qin, Xiyu Yi, Shimon Weiss
A novel fluorescence microscopy image deconvolution approach. ISBI (2018)
Feng Liu, Jing Qin, Shouyi Wang, Jay M. Rosenberger, Jianzhong Su
Supervised EEG Source Imaging with Graph Regularization in Transformed Domain. BI (2017)
Fang Li, Jing Qin
Robust fuzzy local information and L p -norm distance-based image segmentation method. IET Image Process. 11 (4) (2017)
Jing Qin, Feng Liu, Shouyi Wang, Jay M. Rosenberger
EEG source imaging based on spatial and temporal graph structures. IPTA (2017)
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors. CoRR (2017)
Jing Qin, Tianyu Wu, Ying Li, Wotao Yin, Stanley J. Osher, Wentai Liu
Accelerated high-resolution EEG source imaging. NER (2017)
Jing Qin, Shuang Li, Deanna Needell, Anna Ma, Rachel Grotheer, Chenxi Huang, Natalie Durgin
Stochastic Greedy Algorithms For Multiple Measurement Vectors. CoRR (2017)
Fang Li, Stanley J. Osher, Jing Qin, Ming Yan
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity. J. Sci. Comput. 69 (1) (2016)
Ying Li, Jing Qin, Stanley J. Osher, Wentai Liu
Graph fractional-order total variation EEG source reconstruction. EMBC (2016)
Fang Li, Stanley J. Osher, Jing Qin, Ming Yan
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity. CoRR (2015)
Jing Qin, Weihong Guo
Two-stage Geometric Information Guided Image Reconstruction. CoRR (2014)
Weihong Guo, Jing Qin, Wotao Yin
A New Detail-Preserving Regularization Scheme. SIAM J. Imaging Sci. 7 (2) (2014)
Jing Xu, Huibin Chang, Jing Qin
Domain decomposition method for image deblurring. J. Comput. Appl. Math. 271 (2014)
Jing Qin, Weihong Guo
An efficient compressive sensing MR image reconstruction scheme. ISBI (2013)
Jing Qin, Weihong Guo
An automatic additive and multiplicative noise removal scheme with sharpness preservation. ISBI (2011)