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ORCIDMichael Kwok-Po Ng
Michael K. Ng 0001 – Michael K. P. Ng 0001 – Michael Ng 0001
Person information
- affiliation (since 2019): University of Hong Kong, Department of Mathematics, Hong Kong
- affiliation (2005 - 2019): Hong Kong Baptist University, Department of Mathematics, Hong Kong
- affiliation (1997-2005): University of Hong Kong
Other persons with the same name
- Michael Ng — disambiguation page
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2020 – today
- 2024
[j394]Michael Ng, He Ming Yao:
Deep learning based source reconstruction method using asymmetric encoder-decoder structure and physics-induced loss. J. Comput. Appl. Math. 438: 115503 (2024)- 2023
- [j393]Andy M. Yip, William T. Ng, Ka-Wai Siu, Albert C. Cheung, Michael K. Ng:
Graph embedded dynamic mode decomposition for stock price prediction. Algorithmic Finance 10(1-2): 39-51 (2023) - [j392]Guang-Jing Song, Xue-Zhong Wang, Michael K. Ng:
Riemannian conjugate gradient descent method for fixed multi rank third-order tensor completion. J. Comput. Appl. Math. 421: 114866 (2023) - [j391]Yiqi Gu, Michael K. Ng:
Quadrature rule based discovery of dynamics by data-driven denoising. J. Comput. Phys. 486: 112102 (2023) - [j390]Wei-Wei Xu, Michael K. Ng:
A New Matrix Maximization Model for Computing Ratios of Generalized Singular Values from High-Order GSVD. J. Sci. Comput. 94(2): 35 (2023) - [j389]Xue-lei Lin, Xin Huang, Michael K. Ng
, Hai-Wei Sun:
A τ-preconditioner for a non-symmetric linear system arising from multi-dimensional Riemann-Liouville fractional diffusion equation. Numer. Algorithms 92(1): 795-813 (2023) - [j388]Tak Shing Au Yeung, Ka Chun Cheung, Michael K. Ng, Simon See, Andy M. Yip:
Transfer Learning With Singular Value Decomposition of Multichannel Convolution Matrices. Neural Comput. 35(10): 1678-1712 (2023) - [j387]Tai-Xiang Jiang, Michael K. P. Ng, Junjun Pan, Guang-Jing Song:
Nonnegative low rank tensor approximations with multidimensional image applications. Numerische Mathematik 153(1): 141-170 (2023) - [j386]Ye Liu, Junjun Pan, Michael K. P. Ng:
Tucker network: Expressive power and comparison. Neural Networks 160: 63-83 (2023) - [j385]Xutao Li, Michael K. Ng, Guangning Xu, Andy M. Yip:
Multi-relational graph convolutional networks: Generalization guarantees and experiments. Neural Networks 161: 343-358 (2023) - [j384]Hanrui Wu, Yuguang Yan, Michael Kwok-Po Ng:
Hypergraph Collaborative Network on Vertices and Hyperedges. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3245-3258 (2023) - [j383]Junren Chen, Michael Ng:
Signal Reconstruction from Phase-Only Measurements: Uniqueness Condition, Minimal Measurement Number and Beyond. SIAM J. Appl. Math. 83(4): 1341-1365 (2023) - [j382]Jianfei Li, Chaoyan Huang, Raymond H. Chan, Han Feng, Michael K. Ng, Tieyong Zeng:
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks. SIAM J. Imaging Sci. 16(3): 1177-1194 (2023) - [j381]Junjun Pan, Michael K. Ng:
Separable Quaternion Matrix Factorization for Polarization Images. SIAM J. Imaging Sci. 16(3): 1281-1307 (2023) - [j380]Ben-Zheng Li, Xi-Le Zhao, Xiongjun Zhang, Teng-Yu Ji, Xinyu Chen, Michael K. P. Ng:
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion. SIAM J. Imaging Sci. 16(3): 1370-1397 (2023) - [j379]Limei Huo, Wengu Chen, Huanmin Ge, Michael K. Ng:
\(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery. SIAM J. Imaging Sci. 16(4): 1886-1928 (2023) - [j378]Junjun Pan, Michael Ng:
Coseparable Nonnegative Matrix Factorization. SIAM J. Matrix Anal. Appl. 44(3): 1393-1420 (2023) - [j377]Yiqi Gu, Michael K. Ng:
Deep Neural Networks for Solving Large Linear Systems Arising from High-Dimensional Problems. SIAM J. Sci. Comput. 45(5): 2356- (2023) - [j376]Yihang Gao, Michael K. Ng, Mingjie Zhou:
Approximating Probability Distributions by Using Wasserstein Generative Adversarial Networks. SIAM J. Math. Data Sci. 5(4): 949-976 (2023) - [j375]Zhicheng Wang, Michael K. Ng, Joseph Michalski, Lina Zhuang:
A Self-Supervised Deep Denoiser for Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j374]Lina Zhuang, Michael K. Ng, Yao Liu:
Cross-Track Illumination Correction for Hyperspectral Pushbroom Sensor Images Using Low-Rank and Sparse Representations. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j373]Junren Chen, Cheng-Long Wang, Michael K. P. Ng, Di Wang:
High Dimensional Statistical Estimation Under Uniformly Dithered One-Bit Quantization. IEEE Trans. Inf. Theory 69(8): 5151-5187 (2023) - [j372]Junren Chen, Michael K. Ng:
Uniform Exact Reconstruction of Sparse Signals and Low-Rank Matrices From Phase-Only Measurements. IEEE Trans. Inf. Theory 69(10): 6739-6764 (2023) - [j371]Guang-Jing Song, Michael K. Ng, Tai-Xiang Jiang:
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation. IEEE Trans. Knowl. Data Eng. 35(11): 11917-11934 (2023) - [j370]Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng:
Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion. IEEE Trans. Neural Networks Learn. Syst. 34(2): 932-946 (2023) - [j369]Wen Yu, Baiying Lei, Shuqiang Wang, Yong Liu, Zhiguang Feng, Yong Hu, Yanyan Shen, Michael K. Ng:
Morphological Feature Visualization of Alzheimer's Disease via Multidirectional Perception GAN. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4401-4415 (2023) - [j368]Lina Zhuang, Michael K. Ng:
FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4702-4716 (2023) - [j367]Hanrui Wu, Jinyi Long, Nuosi Li, Dahai Yu, Michael K. Ng:
Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs. ACM Trans. Inf. Syst. 41(2): 33:1-33:25 (2023) - [j366]Hanrui Wu, Chung Wang Wong, Jia Zhang, Yuguang Yan, Dahai Yu, Jinyi Long, Michael K. Ng:
Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders. IEEE Trans. Serv. Comput. 16(4): 2477-2489 (2023) - [j365]Junren Chen, Michael K. P. Ng:
Phase Retrieval of Quaternion Signal via Wirtinger Flow. IEEE Trans. Signal Process. 71: 2863-2878 (2023) - [j364]Junren Chen, Yueqi Wang, Michael K. Ng:
Quantized Low-Rank Multivariate Regression With Random Dithering. IEEE Trans. Signal Process. 71: 3913-3928 (2023) - [c92]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). ICDE 2023: 3829-3830 - [c91]Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael Kwok-Po Ng:
Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract. ICDE 2023: 3855-3856 - [c90]Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract. ICDE 2023: 3885-3886 - [c89]Yihang Gao, Yiqi Gu, Michael Ng:
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks. ICML 2023: 10676-10707 - [c88]Huafeng Liu, Mingjie Zhou, Liping Jing, Michael K. Ng:
Doubly Intention Learning for Cold-start Recommendation with Uncertainty-aware Stochastic Meta Process. ACM Multimedia 2023: 6212-6222 - [i58]Junjun Pan, Michael Kwok-Po Ng:
Block Diagonalization of Quaternion Circulant Matrices with Applications to Quaternion Tensor Singular Value Decomposition. CoRR abs/2302.04086 (2023) - [i57]Junren Chen, Yueqi Wang, Michael Kwok-Po Ng:
Quantized Low-Rank Multivariate Regression with Random Dithering. CoRR abs/2302.11197 (2023) - [i56]Michael Kwok-Po Ng, Hanrui Wu, Andy M. Yip:
Stability and Generalization of Hypergraph Collaborative Networks. CoRR abs/2308.02347 (2023) - [i55]Junren Chen, Michael K. Ng:
A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate. CoRR abs/2308.16059 (2023) - [i54]Junren Chen, Shuai Huang, Michael K. Ng, Zhaoqiang Liu:
Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors. CoRR abs/2309.09032 (2023) - [i53]Junren Chen, Jonathan Scarlett, Michael Kwok-Po Ng, Zhaoqiang Liu:
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing. CoRR abs/2310.03758 (2023) - 2022
- [j363]You-Wei Wen, Mingchao Zhao, Michael Ng:
Cartoon and texture decomposition for color image in opponent color space. Appl. Math. Comput. 414: 126654 (2022) - [j362]Yihang Gao, Michael K. Ng:
Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks. J. Comput. Phys. 463: 111270 (2022) - [j361]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): 37 (2022) - [j360]Ye Liu, Michael K. Ng:
Deep neural network compression by Tucker decomposition with nonlinear response. Knowl. Based Syst. 241: 108171 (2022) - [j359]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: 1-5 (2022) - [j358]Ye Liu, Michael K. Ng:
A new clustering algorithm for genes with multiple cancer diseases by self-consistent field iteration method. Netw. Model. Anal. Health Informatics Bioinform. 11(1): 20 (2022) - [j357]Xiongjun Zhang, Michael K. Ng:
Robust tensor train component analysis. Numer. Linear Algebra Appl. 29(1) (2022) - [j356]Xiongjun Zhang, Michael K. Ng:
Low Rank Tensor Completion With Poisson Observations. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4239-4251 (2022) - [j355]Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng:
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6631-6648 (2022) - [j354]He Ming Yao, Yanming Zhang, Lijun Jiang, Hong Tat Ewe, Michael Ng:
Snow Parameters Inversion from Passive Microwave Remote Sensing Measurements by Deep Convolutional Neural Networks. Sensors 22(13): 4769 (2022) - [j353]Limei Huo, Wengu Chen, Huanmin Ge, Michael K. Ng:
Stable Image Reconstruction Using Transformed Total Variation Minimization. SIAM J. Imaging Sci. 15(3): 1104-1139 (2022) - [j352]Wei Wang, Yuming Yang, Michael K. Ng:
A Spatial Color Compensation Model Using Saturation-Value Total Variation. SIAM J. Imaging Sci. 15(3): 1400-1430 (2022) - [j351]Junren Chen, Michael K. Ng:
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss. SIAM J. Imaging Sci. 15(3): 1469-1498 (2022) - [j350]Jing Guo, Yu Guo, Qiyu Jin, Michael Kwok-Po Ng, Shuping Wang:
Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising. SIAM J. Imaging Sci. 15(4): 1601-1622 (2022) - [j349]Weiwei Xu, Michael K. Ng, Zheng-Jian Bai:
Geometric Inexact Newton Method for Generalized Singular Values of Grassmann Matrix Pair. SIAM J. Matrix Anal. Appl. 43(2): 535-560 (2022) - [j348]Yiqi Gu, Michael K. Ng:
Deep Ritz Method for the Spectral Fractional Laplacian Equation Using the Caffarelli-Silvestre Extension. SIAM J. Sci. Comput. 44(4): 2018- (2022) - [j347]Yiqi Gu, Michael K. Ng:
Deep Adaptive Basis Galerkin Method for High-Dimensional Evolution Equations With Oscillatory Solutions. SIAM J. Sci. Comput. 44(5): 3130- (2022) - [j346]Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng, Ting-Zhu Huang:
Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery. IEEE Trans. Cybern. 52(12): 13395-13410 (2022) - [j345]Chuyao Luo, Xutao Li, Yunming Ye, Shanshan Feng, Michael K. Ng:
Experimental Study on Generative Adversarial Network for Precipitation Nowcasting. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [j344]Zhicheng Wang, Michael K. Ng, Lina Zhuang, Lianru Gao, Bing Zhang:
Nonlocal Self-Similarity-Based Hyperspectral Remote Sensing Image Denoising With 3-D Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j343]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: 1-15 (2022) - [j342]Xi-Le Zhao, Jinghua 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: 984-999 (2022) - [j341]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. IEEE Trans. Image Process. 31: 3793-3808 (2022) - [j340]Zhigang Jia, Qiyu Jin, Michael K. Ng, Xi-Le Zhao:
Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Image and Video Inpainting. IEEE Trans. Image Process. 31: 3868-3883 (2022) - [j339]Xiongjun Zhang, Michael K. Ng:
Sparse Nonnegative Tensor Factorization and Completion With Noisy Observations. IEEE Trans. Inf. Theory 68(4): 2551-2572 (2022) - [j338]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): 7:1-7:34 (2022) - [j337]Hanrui Wu, Michael K. Ng:
Multiple Graphs and Low-Rank Embedding for Multi-Source Heterogeneous Domain Adaptation. ACM Trans. Knowl. Discov. Data 16(4): 77:1-77:25 (2022) - [j336]Hanrui Wu, Michael K. Ng:
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification. ACM Trans. Knowl. Discov. Data 16(4): 80:1-80:19 (2022) - [j335]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation. IEEE Trans. Knowl. Data Eng. 34(6): 2810-2823 (2022) - [j334]Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification. IEEE Trans. Knowl. Data Eng. 34(9): 4063-4076 (2022) - [j333]Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael K. Ng:
Transferable Feature Selection for Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 34(11): 5536-5551 (2022) - [j332]Chaoyan Huang, Michael K. Ng, Tingting Wu, Tieyong Zeng:
Quaternion-Based Dictionary Learning and Saturation-Value Total Variation Regularization for Color Image Restoration. IEEE Trans. Multim. 24: 3769-3781 (2022) - [j331]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. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4945-4959 (2022) - [j330]Hanrui Wu, Qingyao Wu, Michael K. Ng:
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation. ACM Trans. Inf. Syst. 40(1): 16:1-16:29 (2022) - [c87]Huafeng Liu, Liping Jing, Dahai Yu, Mingjie Zhou, Michael Ng:
Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes. ACM Multimedia 2022: 491-500 - [c86]Yihang Gao, Man-Chung Yue, Michael Ng:
Approximate Secular Equations for the Cubic Regularization Subproblem. NeurIPS 2022 - [c85]Yihang Gao, Ka Chun Cheung, Michael K. Ng:
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. SSCI 2022: 1443-1450 - [i52]Junren Chen, Michael K. Ng:
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss. CoRR abs/2202.02063 (2022) - [i51]Junren Chen, Cheng-Long Wang, Michael K. Ng, Di Wang:
High Dimensional Statistical Estimation under One-bit Quantization. CoRR abs/2202.13157 (2022) - [i50]Yiqi Gu, Michael K. Ng:
Deep neural networks for solving extremely large linear systems. CoRR abs/2204.00313 (2022) - [i49]Yihang Gao, Huafeng Liu, Michael K. Ng, Mingjie Zhou:
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization. CoRR abs/2205.11030 (2022) - [i48]Junren Chen, Michael K. Ng:
Error Bound of Empirical 𝓁2 Risk Minimization for Noisy Standard and Generalized Phase Retrieval Problems. CoRR abs/2205.13827 (2022) - [i47]Junjun Pan, Michael K. Ng:
Separable Quaternion Matrix Factorization for Polarization Images. CoRR abs/2207.14039 (2022) - [i46]Xiongjun Zhang, Michael K. Ng:
Sparse Nonnegative Tucker Decomposition and Completion under Noisy Observations. CoRR abs/2208.08287 (2022) - [i45]William T. Ng, K. Siu, Albert C. Cheung, Michael Kwok-Po Ng:
Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer. CoRR abs/2208.09300 (2022) - [i44]Junren Chen, Michael Kwok-Po Ng:
Uniform Exact Reconstruction of Sparse Signals and Low-rank Matrices from Phase-Only Measurements. CoRR abs/2209.12824 (2022) - [i43]Yihang Gao, Man-Chung Yue, Michael Kwok-Po Ng:
Approximate Secular Equations for the Cubic Regularization Subproblem. CoRR abs/2209.13268 (2022) - [i42]Yihang Gao, Michael Kwok-Po Ng:
A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization. CoRR abs/2210.05987 (2022) - [i41]Ningning Han, Juan Nie, Jian Lu, Michael K. Ng:
Stochastic Variance Reduced Gradient for affine rank minimization problem. CoRR abs/2211.02802 (2022) - [i40]Yihang Gao, Ka Chun Cheung, Michael K. Ng:
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. CoRR abs/2211.08760 (2022) - [i39]Yi-Si Luo, Xile Zhao, Zhemin Li, Michael K. Ng, Deyu Meng:
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery. CoRR abs/2212.00262 (2022) - [i38]Junren Chen, Michael Kwok-Po Ng, Di Wang:
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery. CoRR abs/2212.14562 (2022) - 2021
- [j329]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: 126168 (2021) - [j328]Tingting Wu, Michael K. Ng, Xi-Le Zhao:
Sparsity reconstruction using nonconvex TGpV-shearlet regularization and constrained projection. Appl. Math. Comput. 410: 126170 (2021) - [j327]Ye Liu, Michael K. Ng, Hong Zhu:
Multiple graph semi-supervised clustering with automatic calculation of graph associations. Neurocomputing 429: 33-46 (2021) - [j326]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: 197-215 (2021) - [j325]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: 110221 (2021) - [j324]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: 202:1-202:54 (2021) - [j323]Duo Qiu, Minru Bai, Michael K. Ng, Xiongjun Zhang:
Robust Low Transformed Multi-Rank Tensor Methods for Image Alignment. J. Sci. Comput. 87(1): 24 (2021) - [j322]Hong Zhu, Michael K. Ng, Guang-Jing Song:
An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation. J. Sci. Comput. 88(2): 45 (2021) - [j321]Xue-lei Lin, Michael K. Ng:
Image Completion and Blind Deconvolution: Model and Algorithm. J. Sci. Comput. 89(3): 54 (2021) - [j320]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: 106773 (2021) - [j319]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): 651-677 (2021) - [j318]Chao Zeng, Tai-Xiang Jiang, Michael K. Ng:
An approximation method of CP rank for third-order tensor completion. Numerische Mathematik 147(3): 727-757 (2021) - [j317]Lina Zhuang, Michael K. Ng, Xiyou Fu:
Hyperspectral Image Mixed Noise Removal Using Subspace Representation and Deep CNN Image Prior. Remote. Sens. 13(20): 4098 (2021) - [j316]Wei Wang, Michael K. Ng:
Color Image Restoration by Saturation-Value Total Variation Regularization on Vector Bundles. SIAM J. Imaging Sci. 14(1): 178-197 (2021) - [j315]Zhengmeng Jin, Junkang Zhang, Lihua Min, Michael K. Ng:
A Variational Model for Spatially Weighting in Image Fusion. SIAM J. Imaging Sci. 14(2): 441-469 (2021) - [j314]