Jing Qin

43 papers B 1C 2Misc 4Journal 25Unranked 11
YearRankTypeTitle / Venue / Authors
2024 B conf
Feature Selection for Hand Gesture Recognition in Human-Robot Interaction.
RO-MAN
Matthew McCarver, Jing Qin, Biyun Xie
2024 J jnl
Federated Gradient Matching Pursuit.
IEEE Trans. Inf. Theory
Halyun Jeong, Deanna Needell, Jing Qin
2024 J jnl
Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness.
CoRR
Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
2023 J jnl
Federated Gradient Matching Pursuit.
CoRR
Halyun Jeong, Deanna Needell, Jing Qin
2023 J jnl
Human Motion Detection Based on Dual-Graph and Weighted Nuclear Norm Regularizations.
CoRR
Jing Qin, Biyun Xie
2023 Misc conf
Stochastic Natural Thresholding Algorithms.
ACSSC
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2023 J jnl
Stochastic Natural Thresholding Algorithms.
CoRR
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2022 J jnl
Robust Dual-Graph Regularized Moving Object Detection.
CoRR
Jing Qin, Ruilong Shen, Ruihan Zhu, Biyun Xie
2021 J jnl
A Novel Regularization Based on the Error Function for Sparse Recovery.
J. Sci. Comput.
Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
2021 J jnl
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization.
IEEE Trans. Geosci. Remote. Sens.
Jing Qin, Harlin Lee, Jocelyn T. Chi, Lucas Drumetz, Jocelyn Chanussot, Yifei Lou, Andrea L. Bertozzi
2021 J jnl
Hand Gesture Recognition Based on a Nonconvex Regularization.
CoRR
Jing Qin, Joshua Ashley, Biyun Xie
2021 J jnl
Regularized Kaczmarz Algorithms for Tensor Recovery.
CoRR
Xuemei Chen, Jing Qin
2021 J jnl
Regularized Kaczmarz Algorithms for Tensor Recovery.
SIAM J. Imaging Sci.
Xuemei Chen, Jing Qin
2021 C conf
Spatio-Temporal Super-Resolution Reconstruction of Remote Sensing Data.
IGARSS
Igor Yanovsky, Jing Qin
2020 J jnl
A Novel Regularization Based on the Error Function for Sparse Recovery.
CoRR
Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
2020 J jnl
Automatic prior shape selection for image edge detection with modified Mumford-Shah model.
Comput. Math. Appl.
Yuying Shi, Zhimei Huo, Jing Qin, Yilin Li
2020 J jnl
Non-blind and Blind Deconvolution Under Poisson Noise Using Fractional-Order Total Variation.
J. Math. Imaging Vis.
Mujibur Rahman Chowdhury, Jing Qin, Yifei Lou
2020 Misc conf
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery.
ITA
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019 — conf
Fast Blind Hyperspectral Unmixing Based On Graph Laplacian.
WHISPERS
Jing Qin, Harlin Lee, Jocelyn T. Chi, Yifei Lou, Jocelyn Chanussot, Andrea L. Bertozzi
2019 — conf
Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity.
EMBC
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019 J jnl
Iterative Hard Thresholding for Low CP-rank Tensor Models.
CoRR
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019 Misc conf
Jointly Sparse Signal Recovery with Prior Info.
ACSSC
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019 Misc conf
L1-2 Regularized Logistic Regression.
ACSSC
Jing Qin, Yifei Lou
2019 J jnl
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery.
CoRR
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2018 — conf
A novel fluorescence microscopy image deconvolution approach.
ISBI
Jing Qin, Xiyu Yi, Shimon Weiss
2018 J jnl
Compressed Anomaly Detection with Multiple Mixed Observations.
CoRR
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2018 — conf
Current Design with Minimum Error in Transcranial Direct Current Stimulation.
BI
Jing Qin, Yushan Wang, Wentai Liu
2018 — conf
Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization.
BI
Feng Liu, Shouyi Wang, Jing Qin, Yifei Lou, Jay M. Rosenberger
2018 C conf
Robust Super-Resolution Image Reconstruction Method for Geometrically Deformed Remote Sensing Images.
IGARSS
Jing Qin, Igor Yanovsky
2017 — conf
Accelerated high-resolution EEG source imaging.
NER
Jing Qin, Tianyu Wu, Ying Li, Wotao Yin, Stanley J. Osher, Wentai Liu
2017 — conf
EEG source imaging based on spatial and temporal graph structures.
IPTA
Jing Qin, Feng Liu, Shouyi Wang, Jay M. Rosenberger
2017 J jnl
Robust fuzzy local information and L p -norm distance-based image segmentation method.
IET Image Process.
Fang Li, Jing Qin
2017 J jnl
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors.
CoRR
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2017 J jnl
Stochastic Greedy Algorithms For Multiple Measurement Vectors.
CoRR
Jing Qin, Shuang Li, Deanna Needell, Anna Ma, Rachel Grotheer, Chenxi Huang, Natalie Durgin
2017 — conf
Supervised EEG Source Imaging with Graph Regularization in Transformed Domain.
BI
Feng Liu, Jing Qin, Shouyi Wang, Jay M. Rosenberger, Jianzhong Su
2016 J jnl
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity.
J. Sci. Comput.
Fang Li, Stanley J. Osher, Jing Qin, Ming Yan
2016 — conf
Graph fractional-order total variation EEG source reconstruction.
EMBC
Ying Li, Jing Qin, Stanley J. Osher, Wentai Liu
2015 J jnl
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity.
CoRR
Fang Li, Stanley J. Osher, Jing Qin, Ming Yan
2014 J jnl
A New Detail-Preserving Regularization Scheme.
SIAM J. Imaging Sci.
Weihong Guo, Jing Qin, Wotao Yin
2014 J jnl
Domain decomposition method for image deblurring.
J. Comput. Appl. Math.
Jing Xu, Huibin Chang, Jing Qin
2014 J jnl
Two-stage Geometric Information Guided Image Reconstruction.
CoRR
Jing Qin, Weihong Guo
2013 — conf
An efficient compressive sensing MR image reconstruction scheme.
ISBI
Jing Qin, Weihong Guo
2011 — conf
An automatic additive and multiplicative noise removal scheme with sharpness preservation.
ISBI
Jing Qin, Weihong Guo