b'Michael K. Ng'

research

∙ 11/25/2021

Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN

The diagnosis of early stages of Alzheimer's disease (AD) is essential f...

Wen Yu, et al. ∙

research

∙ 09/18/2021

FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal

Hyperspectral imaging with high spectral resolution plays an important r...

Lina Zhuang, et al. ∙

research

∙ 09/02/2021

Co-Separable Nonnegative Matrix Factorization

Nonnegative matrix factorization (NMF) is a popular model in the field o...

Junjun Pan, et al. ∙

research

∙ 08/30/2021

Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks

In this paper, we study a physics-informed algorithm for Wasserstein Gen...

Yihang Gao, et al. ∙

research

∙ 05/29/2021

Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery

In this paper, we study multi-dimensional image recovery. Recently, tran...

Yi-Si Luo, et al. ∙

research

∙ 03/18/2021

Approximation for Probability Distributions by Wasserstein GAN

In this paper, we show that the approximation for distributions by Wasse...

Yihang Gao, et al. ∙

research

∙ 02/02/2021

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

In this paper, we analyze the spectra of the preconditioned matrices ari...

Xin Huang, et al. ∙

research

∙ 01/31/2021

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

In this paper, we study a parallel-in-time (PinT) algorithm for all-at-o...

Xue-lei Lin, et al. ∙

research

∙ 12/30/2020

Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices

Quaternion matrices are employed successfully in many color image proces...

Guangjing Song, et al. ∙

research

∙ 12/16/2020

On O( max{n_1, n_2 }log ( max{ n_1, n_2 } n_3) ) Sample Entries for n_1 × n_2 × n_3 Tensor Completion via Unitary Transformation

One of the key problems in tensor completion is the number of uniformly ...

Guang-Jing Song, et al. ∙

research

∙ 11/17/2020

Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Images and Videos Inpainting

The image nonlocal self-similarity (NSS) prior refers to the fact that a...

Zhigang Jia, et al. ∙

research

∙ 09/02/2020

Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation

In this paper, we develop a new alternating projection method to compute...

Guangjing Song, et al. ∙

research

∙ 08/03/2020

Tensorizing GAN with High-Order Pooling for Alzheimer's Disease Assessment

It is of great significance to apply deep learning for the early diagnos...

Wen Yu, et al. ∙

research

∙ 07/28/2020

Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images

The main aim of this paper is to develop a new algorithm for computing N...

Tai-Xiang Jiang, et al. ∙

research

∙ 07/21/2020

Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations

In this paper, we study the sparse nonnegative tensor factorization and ...

Xiongjun Zhang, et al. ∙

research

∙ 04/29/2020

Tensor train rank minimization with nonlocal self-similarity for tensor completion

The tensor train (TT) rank has received increasing attention in tensor c...

Meng Ding, et al. ∙

research

∙ 04/05/2020

New Formulation and Computation for Generalized Singular Values of Grassman Matrix Pair

In this paper, we derive new model formulations for computing generalize...

Wei-Wei Xu, et al. ∙

research

∙ 03/23/2020

Fast Alternating Projections on Manifolds Based on Tangent Spaces

In this paper, we study alternating projections on nontangential manifol...

Guangjing Song, et al. ∙

research

∙ 02/10/2020

Fast and High-order Accuracy Numerical Methods for Time-Dependent Nonlocal Problems in R^2

In this paper, we study the Crank-Nicolson method for temporal dimension...

Rongjun Cao, et al. ∙

research

∙ 02/02/2020

Singular Vectors From Singular Values

In the recent paper <cit.>, Denton et al. provided the eigenvector-eigen...

Weiwei Xu, et al. ∙

research

∙ 10/21/2019

Orthogonal Nonnegative Tucker Decomposition

In this paper, we study the nonnegative tensor data and propose an ortho...

Junjun Pan, et al. ∙

research

∙ 10/18/2019

Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal

In this paper, we propose new operator-splitting algorithms for the tota...

Jie Zhang, et al. ∙

research

∙ 09/16/2019

Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion

The main aim of this paper is to develop a framelet representation of th...

Tai-Xiang Jiang, et al. ∙

research

∙ 07/02/2019

Robust Tensor Completion Using Transformed Tensor SVD

In this paper, we study robust tensor completion by using transformed te...

Guangjing Song, et al. ∙

research

∙ 12/28/2017

Parallel Active Subspace Decomposition for Scalable and Efficient Tensor Robust Principal Component Analysis

Tensor robust principal component analysis (TRPCA) has received a substa...

Jonathan Q. Jiang, et al. ∙

research

∙ 08/02/2017

Exact Tensor Completion from Sparsely Corrupted Observations via Convex Optimization

This paper conducts a rigorous analysis for provable estimation of multi...

Jonathan Q. Jiang, et al. ∙

research

∙ 01/16/2017

Sparse Kernel Canonical Correlation Analysis via ℓ_1-regularization

Canonical correlation analysis (CCA) is a multivariate statistical techn...

Xiaowei Zhang, et al. ∙

Michael K. Ng

Featured Co-authors

Yong Liu

Jie Zhang

Chao Li

Xin Huang

Yi Chang

Ye Liu

Minghua Chen

Baiying Lei

Xi-Le Zhao

Xiaowei Zhang

Ting-Zhu Huang

Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN

FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal

Co-Separable Nonnegative Matrix Factorization

Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks

Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery

Approximation for Probability Distributions by Wasserstein GAN

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

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

Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices

On O( max{n_1, n_2 }log ( max{ n_1, n_2 } n_3) ) Sample Entries for n_1 × n_2 × n_3 Tensor Completion via Unitary Transformation

Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Images and Videos Inpainting

Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation

Tensorizing GAN with High-Order Pooling for Alzheimer's Disease Assessment

Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images

Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations

Tensor train rank minimization with nonlocal self-similarity for tensor completion

New Formulation and Computation for Generalized Singular Values of Grassman Matrix Pair

Fast Alternating Projections on Manifolds Based on Tangent Spaces

Fast and High-order Accuracy Numerical Methods for Time-Dependent Nonlocal Problems in R^2

Singular Vectors From Singular Values

Orthogonal Nonnegative Tucker Decomposition

Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal

Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion

Robust Tensor Completion Using Transformed Tensor SVD

Parallel Active Subspace Decomposition for Scalable and Efficient Tensor Robust Principal Component Analysis

Exact Tensor Completion from Sparsely Corrupted Observations via Convex Optimization

Sparse Kernel Canonical Correlation Analysis via ℓ_1-regularization