activity
20172021
most citedFramelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion

185 citations · 363 across the 27 of their papers we have counts for

collaborators

28 papers

cs.LG2021

Co-Separable Nonnegative Matrix Factorization

Junjun Pan, Michael K. Ng

Nonnegative matrix factorization (NMF) is a popular model in the field of pattern recognition. It aims to find a low rank approximation for nonnegative data M by a product of two n…

math.NA2021★ 2 cited

Spectral analysis for preconditioning of multi-dimensional Riesz fractional diffusion equations

Xin Huang, Xue-Lei Lin, Michael K. Ng +1

In this paper, we analyze the spectra of the preconditioned matrices arising from discretized multi-dimensional Riesz spatial fractional diffusion equations. The finite difference…

math.NA2021★ 20 cited

A parallel-in-time two-sided preconditioning for all-at-once system from a non-local evolutionary equation with weakly singular kernel

Xue-lei Lin, Michael K. Ng, Yajing Zhi

In this paper, we study a parallel-in-time (PinT) algorithm for all-at-once system from a non-local evolutionary equation with weakly singular kernel where the temporal term involv…

math.NA2020★ 1 cited

Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices

Guangjing Song, Weiyang Ding, Michael K. Ng

Quaternion matrices are employed successfully in many color image processing applications. In particular, a pure quaternion matrix can be used to represent red, green and blue chan…

math.OC2020

Riemannian Conjugate Gradient Descent Method for Third-Order Tensor Completion

Guang-Jing Song, Xue-Zhong Wang, Michael K. Ng

The goal of tensor completion is to fill in missing entries of a partially known tensor under a low-rank constraint. In this paper, we mainly study low rank third-order tensor comp…

cs.CV2020

Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches

Jing Guo, Shuping Wang, Chen Luo +2

Non-local self-similarity based low rank algorithms are the state-of-the-art methods for image denoising. In this paper, a new method is proposed by solving two issues: how to impr…