Michael K. Ng

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 169

Top Venues

CoRR

IEEE Trans. Image Process.

Numer. Linear Algebra Appl.

J. Sci. Comput.

Publications

Ting Wang, Jizhou Li, Michael K. Ng, Chao Wang
Nonnegative Matrix Functional Factorization for Hyperspectral Unmixing With Nonuniform Spectral Sampling. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Lin Lin, James Lam, Peng Shi, Michael K. Ng, Hak-Keung Lam
On Reinforcement Learning in Stabilizability of Probabilistic Boolean Control Networks. ICMLC (2023)
Lina Zhuang, Michael K. Ng, Xiyou Fu, José M. Bioucas-Dias
Hy-Demosaicing: Hyperspectral Blind Reconstruction From Spectral Subsampling. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Hanrui Wu, Qingyao Wu, Michael K. Ng
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation. ACM Trans. Inf. Syst. 40 (1) (2022)
Hanrui Wu, Michael K. Ng
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification. ACM Trans. Knowl. Discov. Data 16 (4) (2022)
Junren Chen, Cheng-Long Wang, Michael K. Ng, Di Wang
High Dimensional Statistical Estimation under One-bit Quantization. CoRR (2022)
Junren Chen, Michael K. Ng
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss. CoRR (2022)
Bing Zhang, Yashinov Aziz, Zhicheng Wang, Lina Zhuang, Michael K. Ng, Lianru Gao
Hyperspectral Image Stripe Detection and Correction Using Gabor Filters and Subspace Representation. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jian Yu, Michael K. Ng
Bayesian Additive Matrix Approximation for Social Recommendation. ACM Trans. Knowl. Discov. Data 16 (1) (2022)
Ye Liu, Michael K. Ng
Deep neural network compression by Tucker decomposition with nonlinear response. Knowl. Based Syst. 241 (2022)
Xiongjun Zhang, Michael K. Ng
Robust tensor train component analysis. Numer. Linear Algebra Appl. 29 (1) (2022)
Hong Zhu, Michael K. Ng, Guang-Jing Song
Correction to: An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation. J. Sci. Comput. 90 (1) (2022)
Xi-Le Zhao, Jing-Hua Yang, Tian-Hui Ma, Tai-Xiang Jiang, Michael K. Ng, Ting-Zhu Huang
Tensor Completion via Complementary Global, Local, and Nonlocal Priors. IEEE Trans. Image Process. 31 (2022)
Hanrui Wu, Michael K. Ng
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation. ACM Trans. Knowl. Discov. Data 16 (4) (2022)
Xue-lei Lin, Michael K. Ng, Yajing Zhi
A parallel-in-time two-sided preconditioning for all-at-once system from a non-local evolutionary equation with weakly singular kernel. J. Comput. Phys. 434 (2021)
Xue-Lei Lin, Michael K. Ng, Yajing Zhi
A parallel-in-time two-sided preconditioning for all-at-once system from a non-local evolutionary equation with weakly singular kernel. CoRR (2021)
Tingting Wu, Jinbo Shao, Xiaoyu Gu, Michael K. Ng, Tieyong Zeng
Two-stage image segmentation based on nonconvex ℓ2-ℓp approximation and thresholding. Appl. Math. Comput. 403 (2021)
ZhiGang Jia, Michael K. Ng
Structure Preserving Quaternion Generalized Minimal Residual Method. SIAM J. Matrix Anal. Appl. 42 (2) (2021)
Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng
Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform. IEEE Trans. Image Process. 30 (2021)
Xue-lei Lin, Michael K. Ng
Image Completion and Blind Deconvolution: Model and Algorithm. J. Sci. Comput. 89 (3) (2021)
Wen Yu, Baiying Lei, Yanyan Shen, Shuqiang Wang, Yong Liu, Zhiguang Feng, Yong Hu, Michael K. Ng
Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN. CoRR (2021)
Guang-Jing Song, Weiyang Ding, Michael K. Ng
Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices. SIAM J. Matrix Anal. Appl. 42 (1) (2021)
Xin Huang, Xue-Lei Lin, Michael K. Ng, Hai-Wei Sun
Spectral analysis for preconditioning of multi-dimensional Riesz fractional diffusion equations. CoRR (2021)
Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, Hong Yan
Orthogonal Nonnegative Tucker Decomposition. SIAM J. Sci. Comput. 43 (1) (2021)
Hanrui Wu, Yuguang Yan, Sentao Chen, Xiangkang Huang, Qingyao Wu, Michael K. Ng
Joint Visual and Semantic Optimization for zero-shot learning. Knowl. Based Syst. 215 (2021)
Tingting Wu, Michael K. Ng, Xi-Le Zhao
Sparsity reconstruction using nonconvex TGpV-shearlet regularization and constrained projection. Appl. Math. Comput. 410 (2021)
Lina Zhuang, Xiyou Fu, Michael K. Ng, José M. Bioucas-Dias
Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations. IEEE Trans. Geosci. Remote. Sens. 59 (12) (2021)
Duo Qiu, Minru Bai, Michael K. Ng, Xiongjun Zhang
Robust low-rank tensor completion via transformed tensor nuclear norm with total variation regularization. Neurocomputing 435 (2021)
Zhi-Wei Fang, Xue-Lei Lin, Michael K. Ng, Hai-Wei Sun
Preconditioning for symmetric positive definite systems in balanced fractional diffusion equations. Numerische Mathematik 147 (3) (2021)
Duo Qiu, Minru Bai, Michael K. Ng, Xiongjun Zhang
Robust Low Transformed Multi-Rank Tensor Methods for Image Alignment. J. Sci. Comput. 87 (1) (2021)
Zhengmeng Jin, Junkang Zhang, Lihua Min, Michael K. Ng
A Variational Model for Spatially Weighting in Image Fusion. SIAM J. Imaging Sci. 14 (2) (2021)
Lina Zhuang, Michael K. Ng, Xiyou Fu
Hyperspectral Image Mixed Noise Removal Using Subspace Representation and Deep CNN Image Prior. Remote. Sens. 13 (20) (2021)
Huanmin Ge, Wengu Chen, Michael K. Ng
Minimization Methods. SIAM J. Imaging Sci. 14 (2) (2021)
Hong Zhu, Michael K. Ng, Guang-Jing Song
An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation. J. Sci. Comput. 88 (2) (2021)
Yihang Gao, Michael K. Ng
Approximation for Probability Distributions by Wasserstein GAN. CoRR (2021)
Chao Zeng, Michael K. Ng
Incremental CP Tensor Decomposition by Alternating Minimization Method. SIAM J. Matrix Anal. Appl. 42 (2) (2021)
Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jiaqi Wang, Jian Yu, Michael K. Ng
Interpretable Deep Generative Recommendation Models. J. Mach. Learn. Res. 22 (2021)
Huanmin Ge, Wengu Chen, Michael K. Ng
On Recovery of Sparse Signals With Prior Support Information via Weighted ℓₚ-Minimization. IEEE Trans. Inf. Theory 67 (11) (2021)
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, Chao Li
Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery. CoRR (2021)
Junjun Pan, Michael K. Ng
Co-Separable Nonnegative Matrix Factorization. CoRR (2021)
Yihang Gao, Michael K. Ng
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks. CoRR (2021)
Wei Wang, Michael K. Ng
Color Image Restoration by Saturation-Value Total Variation Regularization on Vector Bundles. SIAM J. Imaging Sci. 14 (1) (2021)
Hanrui Wu, Hong Zhu, Yuguang Yan, Jiaju Wu, Yifan Zhang, Michael K. Ng
Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching. IEEE Trans. Image Process. 30 (2021)
Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng
Social Recommendation With Learning Personal and Social Latent Factors. IEEE Trans. Knowl. Data Eng. 33 (7) (2021)
Chao Zeng, Tai-Xiang Jiang, Michael K. Ng
An approximation method of CP rank for third-order tensor completion. Numerische Mathematik 147 (3) (2021)
Ye Liu, Michael K. Ng, Hong Zhu
Multiple graph semi-supervised clustering with automatic calculation of graph associations. Neurocomputing 429 (2021)
Lina Zhuang, Michael K. Ng
FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal. CoRR (2021)
Hong Zhu, Michael K. Ng
Structured Dictionary Learning for Image Denoising Under Mixed Gaussian and Impulse Noise. IEEE Trans. Image Process. 29 (2020)
Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation. ACM Trans. Intell. Syst. Technol. 11 (4) (2020)
Ye Liu, Michael K. Ng, Stephen Wu
Multi-Domain Networks Association for Biological Data Using Block Signed Graph Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Guang-Jing Song, Michael K. Ng, Xiongjun Zhang
Robust tensor completion using transformed tensor singular value decomposition. Numer. Linear Algebra Appl. 27 (3) (2020)
Weiwei Xu, Michael K. Ng
Singular Vectors From Singular Values. CoRR (2020)
Xi-Le Zhao, Hao Zhang, Tai-Xiang Jiang, Michael K. Ng, Xiongjun Zhang
Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising. Neurocomputing 413 (2020)
Peng Li, Wengu Chen, Michael K. Ng
Compressive total variation for image reconstruction and restoration. Comput. Math. Appl. 80 (5) (2020)
Zhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng
MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product. IJCAI (2020)
Zhicheng Wang, Lina Zhuang, Lianru Gao, Andrea Marinoni, Bing Zhang, Michael K. Ng
Hyperspectral Nonlinear Unmixing by Using Plug-and-Play Prior for Abundance Maps. Remote. Sens. 12 (24) (2020)
Zhigang Jia, Qiyu Jin, Michael K. Ng, Xile Zhao
Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Images and Videos Inpainting. CoRR (2020)
Xue-Lei Lin, Michael K. Ng
An all-at-once preconditioner for evolutionary partial differential equations. CoRR (2020)
Wen Yu, Baiying Lei, Michael K. Ng, Albert C. Cheung, Yanyan Shen, Shuqiang Wang
Tensorizing GAN with High-Order Pooling for Alzheimer's Disease Assessment. CoRR (2020)
Chao Zeng, Michael K. Ng
Decompositions of third-order tensors: HOSVD, T-SVD, and Beyond. Numer. Linear Algebra Appl. 27 (3) (2020)
Guang-Jing Song, Weiyang Ding, Michael K. Ng
Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices. CoRR (2020)
Xiongjun Zhang, Michael K. Ng
Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations. CoRR (2020)
Jingwen Wang, Yuguang Yan, Yubing Zhang, Guiping Cao, Ming Yang, Michael K. Ng
Deep Reinforcement Active Learning for Medical Image Classification. MICCAI (1) (2020)
Guang-Jing Song, Michael K. Ng, Xiongjun Zhang
Tensor Completion via Unitary Transformation. CoRR (2020)
Huanmin Ge, Wengu Chen, Michael K. Ng
New RIP Bounds for Recovery of Sparse Signals With Partial Support Information via Weighted ${\ell_{p}}$ -Minimization. IEEE Trans. Inf. Theory 66 (6) (2020)
Xueying Zhao, Minru Bai, Michael K. Ng
Nonconvex Optimization for Robust Tensor Completion from Grossly Sparse Observations. J. Sci. Comput. 85 (2) (2020)
Guang-Jing Song, Michael K. Ng
Fast Alternating Projections on Manifolds Based on Tangent Spaces. CoRR (2020)
Tai-Xiang Jiang, Michael K. Ng, Junjun Pan, Guang-Jing Song
Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images. CoRR (2020)
Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao, Ting-Zhu Huang
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion. IEEE Trans. Image Process. 29 (2020)
Guang-Jing Song, Michael K. Ng, Tai-Xiang Jiang
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation. CoRR (2020)
Rihuan Ke, Michael K. Ng, Ting Wei
Efficient Preconditioning for Time Fractional Diffusion Inverse Source Problems. SIAM J. Matrix Anal. Appl. 41 (4) (2020)
Rongjun Cao, Minghua Chen, Michael K. Ng, Yu-Jiang Wu
. CoRR (2020)
Michael K. Ng, Xiongjun Zhang, Xi-Le Zhao
Patched-tube unitary transform for robust tensor completion. Pattern Recognit. 100 (2020)
Miaomiao Cheng, Liping Jing, Michael K. Ng
Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval. ACM Trans. Inf. Syst. 38 (3) (2020)
Xi-Le Zhao, Wen-Hao Xu, Tai-Xiang Jiang, Yao Wang, Michael K. Ng
Deep plug-and-play prior for low-rank tensor completion. Neurocomputing 400 (2020)
Rongjun Cao, Minghua Chen, Michael K. Ng, Yu-Jiang Wu
Fast and High-Order Accuracy Numerical Methods for Time-Dependent Nonlocal Problems in ${\pmb {\mathbb {R}}}^2$. J. Sci. Comput. 84 (1) (2020)
Xue-Lei Lin, Michael K. Ng, Xi-Le Zhao
Tensor Factorization with Total Variation and Tikhonov Regularization for Low-Rank Tensor Completion in Imaging Data. J. Math. Imaging Vis. 62 (6-7) (2020)
Lina Zhuang, Michael K. Ng
Cross-track Illumination Correction For Hyperspectral Pushbroom Sensors Using Total Variation and Sparsity Regularization. SAM (2020)
Guang-Jing Song, Michael K. Ng
Nonnegative low rank matrix approximation for nonnegative matrices. Appl. Math. Lett. 105 (2020)
Weiwei Xu, Michael K. Ng, Zheng-Jian Bai
New Formulation and Computation for Generalized Singular Values of Grassman Matrix Pair. CoRR (2020)
Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K. Ng, Qingyao Wu
Geometric Knowledge Embedding for unsupervised domain adaptation. Knowl. Based Syst. 191 (2020)
Lina Zhuang, Michael K. Ng
Hyperspectral Mixed Noise Removal By $\ell _1$-Norm-Based Subspace Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng
Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion. CoRR (2020)
Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Michael K. Ng, Tian-Hui Ma
Tensor train rank minimization with nonlocal self-similarity for tensor completion. CoRR (2020)
Lan Zhao, Victor H. F. Lee, Michael K. Ng, Hong Yan, Maarten F. Bijlsma
Molecular subtyping of cancer: current status and moving toward clinical applications. Briefings Bioinform. 20 (2) (2019)
Zhigang Jia, Michael K. Ng, Wei Wang
Color Image Restoration by Saturation-Value Total Variation. SIAM J. Imaging Sci. 12 (2) (2019)
Zhengmeng Jin, Lihua Min, Michael K. Ng, Minling Zheng
Image colorization by fusion of color transfers based on DFT and variance features. Comput. Math. Appl. 77 (9) (2019)
Michael K. Ng, Zhaochen Zhu
Sparse matrix computation for air quality forecast data assimilation. Numer. Algorithms 80 (3) (2019)
Ye Liu, JunJun Pan, Michael K. Ng
Tucker Decomposition Network: Expressive Power and Comparison. CoRR (2019)
Fang Li, Michael K. Ng
Image colorization by using graph bi-Laplacian. Adv. Comput. Math. 45 (3) (2019)
Dong Deng, Liping Jing, Jian Yu, Shaolong Sun, Michael K. Ng
Sentiment Lexicon Construction With Hierarchical Supervision Topic Model. IEEE ACM Trans. Audio Speech Lang. Process. 27 (4) (2019)
Hanrui Wu, Yuguang Yan, Yuzhong Ye, Huaqing Min, Michael K. Ng, Qingyao Wu
Online Heterogeneous Transfer Learning by Knowledge Transition. ACM Trans. Intell. Syst. Technol. 10 (3) (2019)
Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao, Ting-Zhu Huang
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion. CoRR (2019)
Xue-lei Lin, Michael K. Ng, Hai-Wei Sun
Crank-Nicolson Alternative Direction Implicit Method for Space-Fractional Diffusion Equations with Nonseparable Coefficients. SIAM J. Numer. Anal. 57 (3) (2019)
Guang-Jing Song, Michael K. Ng, Xiongjun Zhang
Robust Tensor Completion Using Transformed Tensor SVD. CoRR (2019)
Yuan Yao, Xutao Li, Yunming Ye, Feng Liu, Michael K. Ng, Zhichao Huang, Yu Zhang
Low-resolution image categorization via heterogeneous domain adaptation. Knowl. Based Syst. 163 (2019)
MiaoMiao Cheng, Liping Jing, Michael K. Ng
Tensor-Based Low-Dimensional Representation Learning for Multi-View Clustering. IEEE Trans. Image Process. 28 (5) (2019)
Wen-Hao Xu, Xi-Le Zhao, Tai-Xiang Jiang, Yao Wang, Michael K. Ng
Deep Plug-and-play Prior for Low-rank Tensor Completion. CoRR (2019)
Hongzhi Tong, Michael K. Ng
Calibration of ϵ-insensitive loss in support vector machines regression. J. Frankl. Inst. 356 (4) (2019)
Weiyang Ding, Michael K. Ng, Wenxing Zhang
A Peaceman-Rachford Splitting Method with Monotone Plus Skew-Symmetric Splitting for Nonlinear Saddle Point Problems. J. Sci. Comput. 81 (2) (2019)

Michael K. Ng.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael K. Ng