13 citations · 16 across the 5 of their papers we have counts for
5 papers
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption
HanQin Cai, Zehan Chao, Longxiu Huang +1
We study the tensor robust principal component analysis (TRPCA) problem, a tensorial extension of matrix robust principal component analysis (RPCA), that aims to split the given te…
Inference of Media Bias and Content Quality Using Natural-Language Processing
Zehan Chao, Denali Molitor, Deanna Needell +1
Media bias can significantly impact the formation and development of opinions and sentiments in a population. It is thus important to study the emergence and development of partisa…
Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition
HanQin Cai, Zehan Chao, Longxiu Huang +1
We study the problem of tensor robust principal component analysis (TRPCA), which aims to separate an underlying low-multilinear-rank tensor and a sparse outlier tensor from their…
Tensor Completion through Total Variationwith Initialization from Weighted HOSVD
Zehan Chao, Longxiu Huang, Deanna Needell
In our paper, we have studied the tensor completion problem when the sampling pattern is deterministic. We first propose a simple but efficient weighted HOSVD algorithm for recover…
HOSVD-Based Algorithm for Weighted Tensor Completion
Zehan Chao, Longxiu Huang, Deanna Needell
Matrix completion, the problem of completing missing entries in a data matrix with low dimensional structure (such as rank), has seen many fruitful approaches and analyses. Tensor…