64 citations · 329 across the 26 of their papers we have counts for
5 papers · 1 filter
Robust Spectral Recovery for Dynamical Sampling
HanQin Cai, Longxiu Huang, Tianming Wang +1
We study the spectral recovery problem for dynamical sampling on a finite cyclic grid. Given time snapshots obtained from a fixed uniform spatial subsampling of the orbit $x_{\ell}…
Property Inheritance for Subtensors in Tensor Train Decompositions
HanQin Cai, Longxiu Huang
Tensor dimensionality reduction is one of the fundamental tools for modern data science. To address the high computational overhead, fiber-wise sampled subtensors that preserve the…
Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion
HanQin Cai, Jian-Feng Cai, Juntao You
We study the robust matrix completion problem for the low-rank Hankel matrix, which detects the sparse corruptions caused by extreme outliers while we try to recover the original H…
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery
HanQin Cai, Jian-Feng Cai, Tianming Wang +1
Consider a spectrally sparse signal that consists of complex sinusoids with or without damping. We study the robust recovery problem for the spectrally sparse…
Accelerated Alternating Projections for Robust Principal Component Analysis
HanQin Cai, Jian-Feng Cai, Ke Wei
We study robust PCA for the fully observed setting, which is about separating a low rank matrix and a sparse matrix from their sum $\boldsymbol{D}…