Longxiu Huang

Assistant Professor, Department of Computational Mathematics, Science and Engineering

Assistant Professor, Department of Mathematics

Location: 1501 Engineering Bldg

Photo of: Longxiu Huang

Bio

Longxiu Huang is an Assistant Professor in Department of Computational Mathematics, Science and Engineering (CMSE) and Department of Mathematics at Michigan State University.  Prior to this, She was an Assistant Adjunct Professor at UCLA Department of Mathematics. Her research specializes in Data/Signal Processing, Applied Harmonic Analysis, Machine Learning, Random Matrix/Tensor analysis, Dynamical Sampling, Optimization etc .

Courses

CMSE 314: Matrix Algebra I
MTH 314: Matrix Algebra I

Office Hours

Monday: 12:00-13:00
Wednesday: 12:00-13:00
Friday: 12:00-13:00

Selected Publications

A. Aldroubi, K. Grochenig, L. Huang, P. Jaming, I. Krishtal, J. Romero, Sampling the Flow of a Bandlimited Function, The Journal of Geometric Analysis, Vol. 31(2021), 9241-9275.
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.
H.Q. Cai, K. Hamm, L. Huang, D. Needell, Robust CUR Decomposition: Theory and Imaging Applications, SIAM Journal on Imaging Sciences(SIIMS), Vol. 14, No.4(2021),1472-1503.
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.
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.
K. Hamm, L. Huang, Perspectives on CUR Decompositions, Applied and Computational Harmonic Analysis, Vol. 48, No. 3 (2020), 1088-1099.
K. Hamm, L. Huang, Perturbations of CUR Decompositions, SIAM Journal on Matrix Analysis and Applications (SIMAX), Vol.42, No.1 (2021), 351–375.