No photo of Jing Qin

Jing Qin, Ph.D.

    Calculated based on number of publications stored in Pure and citations from Scopus
    20072023

    Research activity per year

    If you made any changes in Pure these will be visible here soon.

    Search results

    • 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 journalArticlepeer-review

    • 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 proceedingConference contributionpeer-review

      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 journalArticlepeer-review

      11 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 proceedingChapterpeer-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 journalArticlepeer-review

      Open Access
      18 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 proceedingConference contributionpeer-review

    • 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 journalComment/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 journalArticlepeer-review

      7 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 proceedingConference contributionpeer-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 journalArticlepeer-review

      Open Access
      2 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 proceedingChapterpeer-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 proceedingConference contributionpeer-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 journalArticlepeer-review

      Open Access
      9 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 journalArticlepeer-review

      26 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 journalArticlepeer-review

      Open Access
      37 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 proceedingConference contributionpeer-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 proceedingConference contributionpeer-review

      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 proceedingChapterpeer-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 journalArticlepeer-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 proceedingConference contributionpeer-review

      7 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 proceedingConference contributionpeer-review

      2 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 proceedingConference contributionpeer-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 proceedingConference contributionpeer-review

      7 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 proceedingChapterpeer-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 proceedingConference contributionpeer-review

      6 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 proceedingConference contributionpeer-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 proceedingConference contributionpeer-review

      8 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 proceedingConference contributionpeer-review

      5 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 proceedingConference contributionpeer-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 proceedingConference contributionpeer-review

      9 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 journalArticlepeer-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 proceedingConference contributionpeer-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 journalArticlepeer-review

      22 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 proceedingConference contributionpeer-review

      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 journalArticlepeer-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 proceedingChapterpeer-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 proceedingConference contributionpeer-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 journalArticlepeer-review

      6 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 journalArticlepeer-review

      151 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 journalReview articlepeer-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 journalArticlepeer-review

      Open Access
      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 proceedingConference contributionpeer-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 journalArticlepeer-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 proceedingConference contributionpeer-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 proceedingConference contributionpeer-review

      1 Scopus citations
    Your message has successfully been sent.
    Your message was not sent due to an error.