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Jing Qin, Ph.D.

    Calculated based on number of publications stored in Pure and citations from Scopus
    20072024

    Research activity per year

    Search results

    • 2024

      Federated Gradient Matching Pursuit

      Jeong, H., Needell, D. & Qin, J., Jun 1 2024, In: IEEE Transactions on Information Theory. 70, 6, p. 4512-4537 26 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • ITERATIVE SINGULAR TUBE HARD THRESHOLDING ALGORITHMS FOR TENSOR RECOVERY

      Grotheer, R., Li, S., Ma, A., Needell, D. & Qin, J., Aug 2024, In: Inverse Problems and Imaging. 18, 4, p. 889-907 19 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access
    • 2023

      Fast Dual-Graph Regularized Background Foreground Separation

      Huang, L. & Qin, J., 2023, 2023 International Conference on Sampling Theory and Applications, SampTA 2023. (2023 International Conference on Sampling Theory and Applications, SampTA 2023).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Hyperspectral Band Selection Based on Matrix CUR Decomposition

      Henneberger, K., Huang, L. & Qin, J., 2023, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. p. 7380-7383 4 p. (International Geoscience and Remote Sensing Symposium (IGARSS); vol. 2023-July).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      1 Scopus citations

    • Stochastic Natural Thresholding Algorithms

      Grotheer, R., Li, S., Ma, A., Needel, D. & Qin, J., 2023, Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023. Matthews, M. B. (ed.). p. 832-836 5 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2022

      Iterative hard thresholding for low CP-rank tensor models

      Grotheer, R., Li, S., Ma, A., Needell, D. & Qin, J., 2022, In: Linear and Multilinear Algebra. 70, 22, p. 7452-7468 17 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      2 Scopus citations

    • Robust Dual-Graph Regularized Moving Object Detection

      Qin, J., Shen, R., Zhu, R. & Xie, B., 2022, 2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022. p. 487-492 6 p. (2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
      2 Scopus citations
    • 2021

      A Novel Regularization Based on the Error Function for Sparse Recovery

      Guo, W., Lou, Y., Qin, J. & Yan, M., Apr 2021, In: Journal of Scientific Computing. 87, 1, 31.

      Research output: Contribution to journal › Article › peer-review

      22 Scopus citations

    • A Simple Recovery Framework for Signals with Time-Varying Sparse Support

      Durgin, N., Grotheer, R., Huang, C., Li, S., Ma, A., Needell, D. & Qin, J., 2021, Association for Women in Mathematics Series. p. 211-230 20 p. (Association for Women in Mathematics Series; vol. 26).

      Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

    • Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization

      Qin, J., Lee, H., Chi, J. T., Drumetz, L., Chanussot, J., Lou, Y. & Bertozzi, A. L., Apr 2021, In: IEEE Transactions on Geoscience and Remote Sensing. 59, 4, p. 3338-3351 14 p., 9200736.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      29 Scopus citations

    • Hand Gesture Recognition Based on a Nonconvex Regularization

      Qin, J., Ashley, J. & Xie, B., Aug 8 2021, 2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021. p. 187-192 6 p. (2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Ipi special issue on “mathematical/statistical approaches in data science” in the inverse problem and imaging

      Guo, W., Lou, Y., Qin, J. & Yan, M., 2021, In: Inverse Problems and Imaging. 15, 1, p. 1 1 p.

      Research output: Contribution to journal › Comment/debate

      Open Access

    • Regularized Kaczmarz Algorithms for Tensor Recovery

      Chen, X. & Qin, J., 2021, In: SIAM Journal on Imaging Sciences. 14, 4, p. 1439-1471 33 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      16 Scopus citations

    • SPATIO-TEMPORAL SUPER-RESOLUTION RECONSTRUCTION OF REMOTE SENSING DATA

      Yanovsky, I. & Qin, J., 2021, IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. p. 2907-2910 4 p. (International Geoscience and Remote Sensing Symposium (IGARSS); vol. 2021-July).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Stochastic greedy algorithms for multiple measurement vectors

      Qin, J., Li, S., Needell, D., Ma, A., Grotheer, R. & Huang, C., Feb 2021, In: Inverse Problems and Imaging. 15, 1, p. 79-107 29 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      6 Scopus citations

    • Two-stage Geometric Information Guided Image Reconstruction

      Qin, J. & Guo, W., 2021, Association for Women in Mathematics Series. p. 3-23 21 p. (Association for Women in Mathematics Series; vol. 26).

      Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

    • 2020

      An effective super-resolution reconstruction method for geometrically deformed image sequences

      Qin, J. & Yanovsky, I., Nov 16 2020, 16th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2020 - Proceedings. 9342611. (16th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2020 - Proceedings).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Automatic prior shape selection for image edge detection with modified Mumford–Shah model

      Shi, Y., Huo, Z., Qin, J. & Li, Y., Mar 15 2020, In: Computers and Mathematics with Applications. 79, 6, p. 1644-1660 17 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      11 Scopus citations

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

      Chowdhury, M. R., Qin, J. & Lou, Y., Nov 1 2020, In: Journal of Mathematical Imaging and Vision. 62, 9, p. 1238-1255 18 p.

      Research output: Contribution to journal › Article › peer-review

      43 Scopus citations

    • Poisson image denoising based on fractional-order total variation

      Chowdhury, M. R., Zhang, J., Qin, J. & Lou, Y., 2020, In: Inverse Problems and Imaging. 14, 1, p. 77-96 20 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      53 Scopus citations

    • Spatio-temporal resolution enhancement for geostationary microwave data

      Yanovsky, I., Qin, J. & Lambrigtsen, B., Nov 16 2020, 16th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2020 - Proceedings. 9342539. (16th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2020 - Proceedings).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      1 Scopus citations

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

      Grotheer, R., Li, S., Ma, A., Needell, D. & Qin, J., Feb 2 2020, 2020 Information Theory and Applications Workshop, ITA 2020. 9244965. (2020 Information Theory and Applications Workshop, ITA 2020).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
      2 Scopus citations
    • 2019

      Compressed Anomaly Detection with Multiple Mixed Observations

      Durgin, N., Grotheer, R., Huang, C., Li, S., Ma, A., Needell, D. & Qin, J., 2019, Association for Women in Mathematics Series. p. 211-237 27 p. (Association for Women in Mathematics Series; vol. 17).

      Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

      2 Scopus citations

    • Evolution Model Based on Prior Information for Narrow Joint Segmentation

      Wang, X., Xu, S., Ye, Z., Zhou, C. Z. & Qin, J., Dec 1 2019, In: Journal of the Operations Research Society of China. 7, 4, p. 629-642 14 p.

      Research output: Contribution to journal › Article › peer-review

    • Fast Blind Hyperspectral Unmixing Based on Graph Laplacian

      Qin, J., Lee, H., Chi, J. T., Lou, Y., Chanussot, J. & Bertozzi, A. L., Sep 2019, 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2019. 8921375. (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing; vol. 2019-September).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      8 Scopus citations

    • Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity

      Durgin, N., Grotheer, R., Huang, C., Li, S., Ma, A., Needell, D. & Qin, J., Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. p. 4758-4761 4 p. 8857069. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      4 Scopus citations

    • Jointly Sparse Signal Recovery with Prior Info

      Durgin, N., Grotheer, R., Huang, C., Li, S., Ma, A., Needell, D. & Qin, J., Nov 2019, Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019. Matthews, M. B. (ed.). p. 645-649 5 p. 9048818. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2019-November).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • L1-2 Regularized Logistic Regression

      Qin, J. & Lou, Y., Nov 2019, Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019. Matthews, M. B. (ed.). p. 779-783 5 p. 9048830. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2019-November).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      9 Scopus citations

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

      Durgin, N., Grotheer, R., Huang, C., Li, S., Ma, A., Needell, D. & Qin, J., 2019, Association for Women in Mathematics Series. p. 1-14 14 p. (Association for Women in Mathematics Series; vol. 17).

      Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

      3 Scopus citations
    • 2018

      A novel fluorescence microscopy image deconvolution approach

      Qin, J., Yi, X. & Weiss, S., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. p. 441-444 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      8 Scopus citations

    • Current design with minimum error in transcranial direct current stimulation

      Qin, J., Wang, Y. & Liu, W., 2018, Brain Informatics - International Conference, BI 2018, Proceedings. Yang, Y., Yamamoto, V., Wang, S., Jones, E., Su, J., Mitchell, T. & Iasemidis, L. (eds.). p. 52-62 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11309 LNAI).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      1 Scopus citations

    • Estimating latent brain sources with low-rank representation and graph regularization

      Liu, F., Wang, S., Qin, J., Lou, Y. & Rosenberger, J., 2018, Brain Informatics - International Conference, BI 2018, Proceedings. Yang, Y., Yamamoto, V., Wang, S., Jones, E., Su, J., Mitchell, T. & Iasemidis, L. (eds.). p. 304-316 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11309 LNAI).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      10 Scopus citations

    • Robust super-resolution image reconstruction method for geometrically deformed remote sensing images

      Qin, J. & Yanovsky, I., Oct 31 2018, 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. p. 8050-8053 4 p. 8518056. (International Geoscience and Remote Sensing Symposium (IGARSS); vol. 2018-July).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      6 Scopus citations
    • 2017

      Accelerated high-resolution EEG source imaging

      Qin, J., Wu, T., Li, Y., Yin, W., Osher, S. & Liu, W., Aug 10 2017, 8th International IEEE EMBS Conference on Neural Engineering, NER 2017. p. 1-4 4 p. 8008277. (International IEEE/EMBS Conference on Neural Engineering, NER).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      3 Scopus citations

    • EEG source imaging based on spatial and temporal graph structures

      Qin, J., Liu, F., Wang, S. & Rosenberger, J., Jul 2 2017, Proceedings of the 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017. p. 1-6 6 p. (Proceedings of the 7th International Conference on Image Processing Theory, Tools and Applications, IPTA 2017; vol. 2018-January).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      11 Scopus citations

    • Robust fuzzy local information and Lp-norm distance-based image segmentation method

      Li, F. & Qin, J., Apr 1 2017, In: IET Image Processing. 11, 4, p. 217-226 10 p.

      Research output: Contribution to journal › Article › peer-review

      16 Scopus citations

    • Supervised EEG Source Imaging with Graph Regularization in Transformed Domain

      Liu, F., Qin, J., Wang, S., Rosenberger, J. & Su, J., 2017, Brain Informatics - International Conference, BI 2017, Proceedings. Zeng, Y., Xu, B., Martone, M., He, Y., Peng, H., Luo, Q. & Kotaleski, J. H. (eds.). p. 59-71 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10654 LNAI).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      1 Scopus citations
    • 2016

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

      Li, F., Osher, S., Qin, J. & Yan, M., Oct 1 2016, In: Journal of Scientific Computing. 69, 1, p. 82-106 25 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      23 Scopus citations

    • Graph fractional-order total variation EEG source reconstruction

      Li, Y., Qin, J., Osher, S. & Liu, W., Oct 13 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. p. 101-104 4 p. 7590650. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2016-October).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
      8 Scopus citations

    • s-SMOOTH: Sparsity and smoothness enhanced EEG brain tomography

      Li, Y., Qin, J., Hsin, Y. L., Osher, S. & Liu, W., 2016, In: Frontiers in Neuroscience. 10, NOV, 543.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      14 Scopus citations
    • 2015

      Automatic Prior Shape Selection for Image Segmentation

      Guo, W., Qin, J. & Tari, S., 2015, Association for Women in Mathematics Series. p. 1-8 8 p. (Association for Women in Mathematics Series; vol. 1).

      Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

      3 Scopus citations

    • Detecting plumes in LWIR using robust nonnegative matrix factorization with graph-based initialization

      Qin, J., Laurent, T., Bui, K., Tan, R. V. R., Dahilig, J., Wang, S., Rohe, J., Sunu, J. & Bertozzi, A. L., 2015, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI. Velez-Reyes, M. & Kruse, F. A. (eds.). 94720V. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 9472).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      3 Scopus citations

    • Efficient simultaneous image deconvolution and upsampling algorithm for low-resolution microwave sounder data

      Qin, J., Yanovsky, I. & Yin, W., Jan 1 2015, In: Journal of Applied Remote Sensing. 9, 1, 095035.

      Research output: Contribution to journal › Article › peer-review

      7 Scopus citations
    • 2014

      A new detail-preserving regularization scheme

      Guo, W., Qin, J. & Yin, W., Jun 12 2014, In: SIAM Journal on Imaging Sciences. 7, 2, p. 1309-1334 26 p.

      Research output: Contribution to journal › Article › peer-review

      164 Scopus citations

    • Domain decomposition method for image deblurring

      Xu, J., Chang, H. B. & Qin, J., Dec 1 2014, In: Journal of Computational and Applied Mathematics. 271, p. 401-414 14 p.

      Research output: Contribution to journal › Review article › peer-review

      Open Access
      13 Scopus citations
    • 2013

      A geometry guided image denoising scheme

      Guo, W. & Qin, J., May 2013, In: Inverse Problems and Imaging. 7, 2, p. 499-521 23 p.

      Research output: Contribution to journal › Article › peer-review

      1 Scopus citations

    • An efficient compressive sensing MR image reconstruction scheme

      Qin, J. & Guo, W., 2013, ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. p. 306-309 4 p. 6556473. (Proceedings - International Symposium on Biomedical Imaging).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      8 Scopus citations

    • Trimmed strategy for affine registration of point sets

      Peng, Y., Ying, S., Qin, J. & Zeng, T., 2013, In: Journal of Applied Remote Sensing. 7, 1, 13377.

      Research output: Contribution to journal › Article › peer-review

      7 Scopus citations
    • 2011

      An automatic additive and multiplicative noise removal scheme with sharpness preservation

      Qin, J. & Guo, W., 2011, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. p. 1819-1822 4 p. 5872760. (Proceedings - International Symposium on Biomedical Imaging).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2007

      Speckle removal of multi-polarisation SAR imagery using variational method

      Peng, Y., Li, F., Qin, J. & Shen, C., 2007, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications. 67903H. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 6790).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      1 Scopus citations
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