Longxiu HUANG

Publications

Publications

Preprint

  1. A.Aldroubi, L. Huang, K. Kornelson, I. Krishtal, Predictive algorithms in dynamical sampling for burst-like forcing terms, Submitted.
  2. L. Huang, B. Sun, M. Wang, T. Wang, A Six-Neighbor Theorem for Planar Normal Tilings with Jordan Arc-Based Tile Boundaries, Submitted.

Journal Articles

  1. H.Q. Cai, K. Hamm, L. Huang, D. Needell, Robust CUR Decomposition: Theory and Imaging Applications, SIAM Journal on Imaging Sciences(SIIMS), Accepted.
  2. H.Q. Cai, K. Hamm, L. Huang, D. Needell, Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions, Journal of Machine Learning Research (JMLR), Vol. 22, No.185(2021), 1-36. Journal Version [Code]
  3. Z. Chao, L. Huang, D. Needell, HOSVD-based Algorithm for Weighted Tensor Completion, Journal of Imaging, Vol.7, No.7(2021), 110. Journal Version
  4. A. Aldroubi, K. Grochenig, L. Huang, P. Jaming, I. Krishtal, J. Romero, Sampling the Flow of a Bandlimited Function, The Journal of Geometric Analysis, 2021. Journal Version
  5. K. Hamm, L. Huang, Perturbations of CUR Decompositions, SIAM Journal on Matrix Analysis and Applications (SIMAX), Vol.42, No.1 (2021), 351–375. Journal Version
  6. H.Q. Cai, K. Hamm, L. Huang, J.Q. Li, and T. Wang, Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation, IEEE Signal Processing Letters, Vol. 28 (2021), 116-120. Journal Version [Code]
  7. K. Hamm, L. Huang, Stability of Sampling for CUR Decomposition, Foundations of Data Science, Vol. 2, No. 2 (2020), 83-99. Journal Version
  8. K. Hamm, L. Huang, Perspectives on CUR Decompositions, Applied and Computational Harmonic Analysis, Vol. 48, No. 3 (2020), 1088-1099. Journal Version
  9. A. Aldroubi, L. Huang, A. Petrosyan, Frames Induced by the Action of Continuous Powers of an Operator, Journal of Mathematical Analysis and Applications, Vol.478, No.2 (2019), pp.1059-1084. Journal Version
  10. A. Aldroubi, L. Huang, I. Krishtal, R. Lederman, A. Ledeczi, P. Volgyesi, Dynamical Sampling with Additive Random Noise , Sampling Theory in Signal and Image Processing , Vol.17, No.2 (2018), pp.153-182. Journal Version
  11. L. Huang, T. Wang, On the number of Neighbors in Normal Tiling, SIAM Journal of Discrete Mathematics, Vol. 31, Issue 1 (2017), pp. 240-253. Journal Version

Conference Papers

  1. H.Q. Cai, Z. Chao, L. Huang, D. Needell, Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition, IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021.
  2. R. Grotheer, K. Ha, L. Huang, Y. Huang, A. Kryshchenko, O. Kryshchenko, P. Li, X. Li, D. Needell, E. Rebrova, COVID-19 Literature Topic-Based Search via Hierarchical NMF, EMNLP 2020 Workshop NLP-COVID
  3. Z. Chao, L. Huang, D. Needell, Tensor Completion through Total Variationwith Initialization from Weighted HOSVD, Proc. Information Theory and Applications (ITA 2020), San Diego, CA, USA.
  4. A. Aldroubi, L. Huang, K. Kornelson, I. Krishtal, Dynamical Smpling with a Burst-like Forcing term, 13th International Conference on Sampling Theory and Applications (SampTA 2019), Bordeaux, France.
  5. K. Hamm and L. Huang, On Column-Row Matrix Approximations, 13th International Conference on Sampling Theory and Applications (SampTA 2019), Bordeaux, France.
  6. A. Aldroubi, L. Huang, I. Krishtal, R. Lederman, Dynamical Sampling with Random Noise, 2017 International Conference on Sampling Theory and Applications (SampTA), Tallin, Estonia, 2017, pp.409-412.

Dissertation

  • Dynamical Sampling and its Applications, PhD Dissertation, Vanderbilt University, 2019

Other Preprints

  • K. Hamm and L. Huang, CUR Decompositions, Approximations, and Perturbations. (Due to referee feedback, this article was split and resubmitted, and is mostly replaced by [5] , [7] and [8] above; however, this version has a survey element that does not appear in the other versions and is a self-contained exposition.)