3 papers
cs.LG2026
StoTAM: Stochastic Alternating Minimization for Tucker-Structured Tensor Sensing
Shuang Li
Low-rank tensor sensing is a fundamental problem with broad applications in signal processing and machine learning. Among various tensor models, low-Tucker-rank tensors are particu…
eess.SP2025
Landscape Analysis of Simultaneous Blind Deconvolution and Phase Retrieval via Structured Low-Rank Tensor Recovery
Xiao Liang, Zhen Qin, Zhihui Zhu +1
This paper presents a geometric analysis of the simultaneous blind deconvolution and phase retrieval (BDPR) problem via a structured low-rank tensor recovery framework. Due to the…
math.OC2023
Iterative Singular Tube Hard Thresholding Algorithms for Tensor Recovery
Rachel Grotheer, Shuang Li, Anna Ma +2
Due to the explosive growth of large-scale data sets, tensors have been a vital tool to analyze and process high-dimensional data. Different from the matrix case, tensor decomposit…