Jing Qin

Orcid: 0000-0001-8630-2904

Affiliations:

University of Kentucky, Department of Mathematics, Lexington, KY, USA
Montana State University, Department of Mathematical Sciences, Bozeman, MT, USA (former)
University of California Los Angeles, Department of Mathematics, CA, USA (2013 - 2016)
Case Western Reserve University, Department of Mathematics, Cleveland, OH, USA (PhD 2013)

According to our database¹, Jing Qin authored at least 32 papers between 2011 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Federated Gradient Matching Pursuit.

[BibT_eX]

[DOI]

Halyun Jeong

Deanna Needell

Jing Qin

CoRR, 2023

Stochastic Natural Thresholding Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2021

Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2021

Regularized Kaczmarz Algorithms for Tensor Recovery.

[BibT_eX]

[DOI]

Xuemei Chen

Jing Qin

SIAM J. Imaging Sci., 2021

A Novel Regularization Based on the Error Function for Sparse Recovery.

[BibT_eX]

[DOI]

J. Sci. Comput., 2021

Spatio-Temporal Super-Resolution Reconstruction of Remote Sensing Data.

[BibT_eX]

[DOI]

Igor Yanovsky

Jing Qin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Non-blind and Blind Deconvolution Under Poisson Noise Using Fractional-Order Total Variation.

[BibT_eX]

[DOI]

Mujibur Rahman Chowdhury

Jing Qin

Yifei Lou

J. Math. Imaging Vis., 2020

Automatic prior shape selection for image edge detection with modified Mumford-Shah model.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2020

Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery.

[BibT_eX]

[DOI]

Proceedings of the Information Theory and Applications Workshop, 2020

2019

Iterative Hard Thresholding for Low CP-rank Tensor Models.

[BibT_eX]

[DOI]

CoRR, 2019

Fast Blind Hyperspectral Unmixing Based On Graph Laplacian.

[BibT_eX]

[DOI]

Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Jointly Sparse Signal Recovery with Prior Info.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

L1-2 Regularized Logistic Regression.

[BibT_eX]

[DOI]

Jing Qin

Yifei Lou

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Compressed Anomaly Detection with Multiple Mixed Observations.

[BibT_eX]

[DOI]

CoRR, 2018

A novel fluorescence microscopy image deconvolution approach.

[BibT_eX]

[DOI]

Jing Qin

Xiyu Yi

Shimon Weiss

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Robust Super-Resolution Image Reconstruction Method for Geometrically Deformed Remote Sensing Images.

[BibT_eX]

[DOI]

Jing Qin

Igor Yanovsky

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization.

[BibT_eX]

[DOI]

Proceedings of the Brain Informatics - International Conference, 2018

Current Design with Minimum Error in Transcranial Direct Current Stimulation.

[BibT_eX]

[DOI]

Jing Qin

Yushan Wang

Wentai Liu

Proceedings of the Brain Informatics - International Conference, 2018

2017

Robust fuzzy local information and L p -norm distance-based image segmentation method.

[BibT_eX]

[DOI]

Fang Li

Jing Qin

IET Image Process., 2017

Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors.

[BibT_eX]

[DOI]

CoRR, 2017

Stochastic Greedy Algorithms For Multiple Measurement Vectors.

[BibT_eX]

[DOI]

CoRR, 2017

Accelerated high-resolution EEG source imaging.

[BibT_eX]

[DOI]

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

EEG source imaging based on spatial and temporal graph structures.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Supervised EEG Source Imaging with Graph Regularization in Transformed Domain.

[BibT_eX]

[DOI]

Proceedings of the Brain Informatics - International Conference, 2017

2016

A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity.

[BibT_eX]

[DOI]

J. Sci. Comput., 2016

Graph fractional-order total variation EEG source reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014

A New Detail-Preserving Regularization Scheme.

[BibT_eX]

[DOI]

Weihong Guo

Jing Qin

Wotao Yin

SIAM J. Imaging Sci., 2014

Domain decomposition method for image deblurring.

[BibT_eX]

[DOI]

Jing Xu

Huibin Chang

Jing Qin

J. Comput. Appl. Math., 2014

Two-stage Geometric Information Guided Image Reconstruction.

[BibT_eX]

[DOI]

Jing Qin

Weihong Guo

CoRR, 2014

2013

An efficient compressive sensing MR image reconstruction scheme.

[BibT_eX]

[DOI]

Jing Qin

Weihong Guo

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2011

An automatic additive and multiplicative noise removal scheme with sharpness preservation.

[BibT_eX]

[DOI]

Jing Qin

Weihong Guo

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Jing Qin

Timeline

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