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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
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Journal Articles
- 2024
[j407]Chengyao Lyu, Junjun Pan
, Michael K. P. Ng, Xile Zhao:
Randomized low rank approximation for nonnegative pure quaternion matrices. Appl. Math. Lett. 150: 108940 (2024)- [j406]Michael Ng, Hanrui Wu, Andy M. Yip:
Stability and Generalization of Hypergraph Collaborative Networks. Mach. Intell. Res. 21(1): 184-196 (2024) - [j405]Hongzhi Tong, Michael Ng:
Spectral algorithms for learning with dependent observations. J. Comput. Appl. Math. 437: 115437 (2024) - [j404]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) - [j403]Hanrui Wu, Andy M. Yip, Jinyi Long, Jia Zhang, Michael Kwok-Po Ng:
Simplicial Complex Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 561-575 (2024) - [j402]Yisi Luo, Xile Zhao, Zhemin Li, Michael K. Ng, Deyu Meng:
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3351-3369 (2024) - [j401]Hanrui Wu, Nuosi Li, Jia Zhang, Sentao Chen, Michael K. Ng, Jinyi Long:
Collaborative contrastive learning for hypergraph node classification. Pattern Recognit. 146: 109995 (2024) - [j400]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: 1-13 (2024) - [j399]Lina Zhuang, Michael Ng, Lianru Gao, Zhicheng Wang:
Eigen-CNN: Eigenimages Plus Eigennoise Level Maps Guided Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j398]Junren Chen, Michael K. Ng, Di Wang:
Quantizing Heavy-Tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery. IEEE Trans. Inf. Theory 70(3): 2003-2038 (2024) - [j397]Hanrui Wu, Nuosi Li, Ka Ho Kwok, Xuheng Cai, Jia Zhang, Jinyi Long, Michael Kwok-Po Ng:
Feature Matching Machine for Cold-Start Recommendation. IEEE Trans. Serv. Comput. 17(1): 98-112 (2024) - 2023
- [j396]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) - [j395]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) - [j394]Yiqi Gu, Michael K. Ng:
Quadrature rule based discovery of dynamics by data-driven denoising. J. Comput. Phys. 486: 112102 (2023) - [j393]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) - [j392]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) - [j391]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) - [j390]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) - [j389]Ye Liu, Junjun Pan, Michael K. P. Ng:
Tucker network: Expressive power and comparison. Neural Networks 160: 63-83 (2023) - [j388]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) - [j387]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) - [j386]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) - [j385]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) - [j384]Junjun Pan, Michael K. Ng:
Separable Quaternion Matrix Factorization for Polarization Images. SIAM J. Imaging Sci. 16(3): 1281-1307 (2023) - [j383]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) - [j382]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) - [j381]Junjun Pan, Michael Ng:
Coseparable Nonnegative Matrix Factorization. SIAM J. Matrix Anal. Appl. 44(3): 1393-1420 (2023) - [j380]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) - [j379]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) - [j378]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) - [j377]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) - [j376]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) - [j375]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) - [j374]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) - [j373]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) - [j372]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) - [j371]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) - [j370]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) - [j369]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) - [j368]Junren Chen, Michael K. P. Ng:
Phase Retrieval of Quaternion Signal via Wirtinger Flow. IEEE Trans. Signal Process. 71: 2863-2878 (2023) - [j367]Junren Chen, Yueqi Wang, Michael K. Ng:
Quantized Low-Rank Multivariate Regression With Random Dithering. IEEE Trans. Signal Process. 71: 3913-3928 (2023) - 2022
- [j366]You-Wei Wen, Mingchao Zhao, Michael Ng:
Cartoon and texture decomposition for color image in opponent color space. Appl. Math. Comput. 414: 126654 (2022) - [j365]Yihang Gao, Michael K. Ng:
Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks. J. Comput. Phys. 463: 111270 (2022) - [j364]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) - [j363]Ye Liu, Michael K. Ng:
Deep neural network compression by Tucker decomposition with nonlinear response. Knowl. Based Syst. 241: 108171 (2022) - [j362]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) - [j361]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) - [j360]Xiongjun Zhang, Michael K. Ng:
Robust tensor train component analysis. Numer. Linear Algebra Appl. 29(1) (2022) - [j359]Xiongjun Zhang, Michael K. Ng:
Low Rank Tensor Completion With Poisson Observations. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4239-4251 (2022) - [j358]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) - [j357]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) - [j356]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) - [j355]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) - [j354]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) - [j353]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) - [j352]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) - [j351]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) - [j350]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) - [j349]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) - [j348]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) - [j347]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) - [j346]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) - [j345]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) - [j344]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) - [j343]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) - [j342]Xiongjun Zhang, Michael K. Ng:
Sparse Nonnegative Tensor Factorization and Completion With Noisy Observations. IEEE Trans. Inf. Theory 68(4): 2551-2572 (2022) - [j341]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) - [j340]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) - [j339]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) - [j338]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) - [j337]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) - [j336]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) - [j335]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) - [j334]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) - [j333]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) - 2021
- [j332]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) - [j331]Tingting Wu, Michael K. Ng, Xi-Le Zhao:
Sparsity reconstruction using nonconvex TGpV-shearlet regularization and constrained projection. Appl. Math. Comput. 410: 126170 (2021) - [j330]Ye Liu, Michael K. Ng, Hong Zhu:
Multiple graph semi-supervised clustering with automatic calculation of graph associations. Neurocomputing 429: 33-46 (2021) - [j329]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) - [j328]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) - [j327]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) - [j326]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) - [j325]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) - [j324]Xue-lei Lin, Michael K. Ng:
Image Completion and Blind Deconvolution: Model and Algorithm. J. Sci. Comput. 89(3): 54 (2021) - [j323]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) - [j322]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) - [j321]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) - [j320]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) - [j319]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) - [j318]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) - [j317]Huanmin Ge, Wengu Chen, Michael K. Ng:
New Restricted Isometry Property Analysis for ℓ1-ℓ2 Minimization Methods. SIAM J. Imaging Sci. 14(2): 530-557 (2021) - [j316]Guang-Jing Song, Weiyang Ding, Michael K. Ng:
Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices. SIAM J. Matrix Anal. Appl. 42(1): 58-82 (2021) - [j315]ZhiGang Jia, Michael K. Ng:
Structure Preserving Quaternion Generalized Minimal Residual Method. SIAM J. Matrix Anal. Appl. 42(2): 616-634 (2021) - [j314]Chao Zeng, Michael K. Ng:
Incremental CP Tensor Decomposition by Alternating Minimization Method. SIAM J. Matrix Anal. Appl. 42(2): 832-858 (2021) - [j313]Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, Hong Yan:
Orthogonal Nonnegative Tucker Decomposition. SIAM J. Sci. Comput. 43(1): B55-B81 (2021) - [j312]Xue-lei Lin, Michael Ng:
An All-at-Once Preconditioner for Evolutionary Partial Differential Equations. SIAM J. Sci. Comput. 43(4): A2766-A2784 (2021) - [j311]Rui Guo, He Ming Yao, Maokun Li, Michael Kwok-Po Ng, Lijun Jiang, Aria Abubakar:
Joint Inversion of Audio-Magnetotelluric and Seismic Travel Time Data With Deep Learning Constraint. IEEE Trans. Geosci. Remote. Sens. 59(9): 7982-7995 (2021) - [j310]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): 10438-10454 (2021) - [j309]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: 3581-3596 (2021) - [j308]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: 6364-6376 (2021) - [j307]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): 7579-7595 (2021) - [j306]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): 2956-2970 (2021) - 2020
- [j305]Guang-Jing Song, Michael K. Ng:
Nonnegative low rank matrix approximation for nonnegative matrices. Appl. Math. Lett. 105: 106300 (2020) - [j304]Peng Li, Wengu Chen, Michael K. Ng:
Compressive total variation for image reconstruction and restoration. Comput. Math. Appl. 80(5): 874-893 (2020) - [j303]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: 137-149 (2020) - [j302]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: 397-409 (2020) - [j301]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): 900-918 (2020) - [j300]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): 8 (2020) - [j299]Xueying Zhao, Minru Bai, Michael K. Ng:
Nonconvex Optimization for Robust Tensor Completion from Grossly Sparse Observations. J. Sci. Comput. 85(2): 46 (2020) - [j298]Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K. Ng, Qingyao Wu:
Geometric Knowledge Embedding for unsupervised domain adaptation. Knowl. Based Syst. 191: 105155 (2020) - [j297]Guang-Jing Song, Michael K. Ng, Xiongjun Zhang:
Robust tensor completion using transformed tensor singular value decomposition. Numer. Linear Algebra Appl. 27(3) (2020) - [j296]Chao Zeng, Michael K. Ng:
Decompositions of third-order tensors: HOSVD, T-SVD, and Beyond. Numer. Linear Algebra Appl. 27(3) (2020) - [j295]Michael K. Ng, Xiongjun Zhang, Xi-Le Zhao:
Patched-tube unitary transform for robust tensor completion. Pattern Recognit. 100: 107181 (2020) - [j294]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): 4117 (2020) - [j293]Rihuan Ke, Michael K. Ng, Ting Wei:
Efficient Preconditioning for Time Fractional Diffusion Inverse Source Problems. SIAM J. Matrix Anal. Appl. 41(4): 1857-1888 (2020) - [j292]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: 1143-1157 (2020) - [j291]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): 435-448 (2020) - [j290]Jin Zeng, Gene Cheung, Michael Ng, Jiahao Pang, Cheng Yang:
3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model. IEEE Trans. Image Process. 29: 3474-3489 (2020) - [j289]Hong Zhu, Michael K. Ng:
Structured Dictionary Learning for Image Denoising Under Mixed Gaussian and Impulse Noise. IEEE Trans. Image Process. 29: 6680-6693 (2020) - [j288]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: 7233-7244 (2020) - [j287]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): 44:1-44:19 (2020) - [j286]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): 3914-3928 (2020) - [j285]Miaomiao Cheng, Liping Jing, Michael K. Ng:
Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval. ACM Trans. Inf. Syst. 38(3): 30:1-30:25 (2020) - 2019
- [j284]Qing Cheng, Qiangqiang Yuan, Michael Kwok-Po Ng, Huanfeng Shen, Liangpei Zhang:
Missing Data Reconstruction for Remote Sensing Images With Weighted Low-Rank Tensor Model. IEEE Access 7: 142339-142352 (2019) - [j283]Fang Li, Michael K. Ng:
Image colorization by using graph bi-Laplacian. Adv. Comput. Math. 45(3): 1521-1549 (2019) - [j282]Yushan Qiu, Hao Jiang, Wai-Ki Ching, Michael K. Ng:
On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L1/2-regularization method. Artif. Intell. Medicine 95: 96-103 (2019) - [j281]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): 572-584 (2019) - [j280]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): 2553-2567 (2019) - [j279]Wen Li, Rihuan Ke, Wai-Ki Ching, Michael K. Ng:
A C-eigenvalue problem for tensors with applications to higher-order multivariate Markov chains. Comput. Math. Appl. 78(3): 1008-1025 (2019) - [j278]Xue-lei Lin, Michael K. Ng:
A fast solver for multidimensional time-space fractional diffusion equation with variable coefficients. Comput. Math. Appl. 78(5): 1477-1489 (2019) - [j277]Hongzhi Tong, Michael K. Ng:
Calibration of ϵ-insensitive loss in support vector machines regression. J. Frankl. Inst. 356(4): 2111-2129 (2019) - [j276]Xiongjun Zhang, Michael K. Ng:
A Fast Algorithm for Solving Linear Inverse Problems with Uniform Noise Removal. J. Sci. Comput. 79(2): 1214-1240 (2019) - [j275]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): 763-788 (2019) - [j274]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: 656-665 (2019) - [j273]Michael K. Ng, Zhaochen Zhu:
Sparse matrix computation for air quality forecast data assimilation. Numer. Algorithms 80(3): 687-707 (2019) - [j272]Zhigang Jia, Michael K. Ng, Guang-Jing Song:
Lanczos method for large-scale quaternion singular value decomposition. Numer. Algorithms 82(2): 699-717 (2019) - [j271]Zhi-Wei Fang, Michael K. Ng, Hai-Wei Sun:
Circulant preconditioners for a kind of spatial fractional diffusion equations. Numer. Algorithms 82(2): 729-747 (2019) - [j270]You-Wei Wen, Hai-Wei Sun, Michael K. Ng:
A primal-dual method for the Meyer model of cartoon and texture decomposition. Numer. Linear Algebra Appl. 26(2) (2019) - [j269]Zhigang Jia, Michael K. Ng, Guang-Jing Song:
Robust quaternion matrix completion with applications to image inpainting. Numer. Linear Algebra Appl. 26(4) (2019) - [j268]Zhigang Jia, Michael K. Ng, Wei Wang:
Color Image Restoration by Saturation-Value Total Variation. SIAM J. Imaging Sci. 12(2): 972-1000 (2019) - [j267]Xiongjun Zhang, Michael K. Ng:
A Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion. SIAM J. Imaging Sci. 12(2): 1231-1273 (2019) - [j266]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): 997-1019 (2019) - [j265]Huixin Fan, Jie Li, Qiangqiang Yuan, Xinxin Liu, Michael Ng:
Hyperspectral image denoising with bilinear low rank matrix factorization. Signal Process. 163: 132-152 (2019) - [j264]Michael Ng:
Editorial: Welcome to Software Impacts. Softw. Impacts 1 (2019) - [j263]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): 704-718 (2019) - [j262]MiaoMiao Cheng, Liping Jing, Michael K. Ng:
Tensor-Based Low-Dimensional Representation Learning for Multi-View Clustering. IEEE Trans. Image Process. 28(5): 2399-2414 (2019) - [j261]Wei Wang, Fang Li, Michael K. Ng:
Structural Similarity-Based Nonlocal Variational Models for Image Restoration. IEEE Trans. Image Process. 28(9): 4260-4272 (2019) - [j260]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): 26:1-26:19 (2019) - [j259]Chuan Chen, Jingxue Xin, Yong Wang, Luonan Chen, Michael K. Ng:
A Semisupervised Classification Approach for Multidomain Networks With Domain Selection. IEEE Trans. Neural Networks Learn. Syst. 30(1): 269-283 (2019) - 2018
- [j258]Xutao Li, Michael K. Ng, Xiaofei Xu, Yunming Ye:
Block principal component analysis for tensor objects with frequency or time information. Neurocomputing 302: 12-22 (2018) - [j257]Guoxia Xu, Sheheryar Khan, Hu Zhu, Lixin Han, Michael K. Ng, Hong Yan:
Discriminative tracking via supervised tensor learning. Neurocomputing 315: 33-47 (2018) - [j256]Siyu Jiang, Yonghui Xu, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu:
Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation. Neurocomputing 321: 49-60 (2018) - [j255]Hongzhi Tong, Michael Ng:
Analysis of regularized least squares for functional linear regression model. J. Complex. 49: 85-94 (2018) - [j254]Hong Zhu, Chuan Chen, Li-Zhi Liao, Michael K. Ng:
Multiple graphs clustering by gradient flow method. J. Frankl. Inst. 355(4): 1819-1845 (2018) - [j253]You-Wei Wen, Wai-Ki Ching, Michael Kwok-Po Ng:
A Semi-smooth Newton Method for Inverse Problem with Uniform Noise. J. Sci. Comput. 75(2): 713-732 (2018) - [j252]Xue-lei Lin, Michael K. Ng, Hai-Wei Sun:
Stability and Convergence Analysis of Finite Difference Schemes for Time-Dependent Space-Fractional Diffusion Equations with Variable Diffusion Coefficients. J. Sci. Comput. 75(2): 1102-1127 (2018) - [j251]Xiongjun Zhang, Michael K. Ng, Minru Bai:
A Fast Algorithm for Deconvolution and Poisson Noise Removal. J. Sci. Comput. 75(3): 1535-1554 (2018) - [j250]Hong Zhu, Li-Zhi Liao, Michael K. Ng:
Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality. Neural Comput. 30(12) (2018) - [j249]JunJun Pan, Michael K. Ng:
Symmetric orthogonal approximation to symmetric tensors with applications to image reconstruction. Numer. Linear Algebra Appl. 25(5) (2018) - [j248]Gene Cheung, Enrico Magli, Yuichi Tanaka, Michael K. Ng:
Graph Spectral Image Processing. Proc. IEEE 106(5): 907-930 (2018) - [j247]Chunxiao Liu, Michael Kwok-Po Ng, Tieyong Zeng:
Weighted variational model for selective image segmentation with application to medical images. Pattern Recognit. 76: 367-379 (2018) - [j246]JunJun Pan, Michael K. Ng:
Orthogonal Nonnegative Matrix Factorization by Sparsity and Nuclear Norm Optimization. SIAM J. Matrix Anal. Appl. 39(2): 856-875 (2018) - [j245]Yuguang Yan, Qingyao Wu, Mingkui Tan, Michael K. Ng, Huaqing Min, Ivor W. Tsang:
Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3252-3263 (2018) - 2017
- [j244]Xin Zhang, Limin Li, Michael K. Ng, Shuqin Zhang:
Drug-target interaction prediction by integrating multiview network data. Comput. Biol. Chem. 69: 185-193 (2017) - [j243]Hongfei Fu, Michael K. Ng, Hong Wang:
A divide-and-conquer fast finite difference method for space-time fractional partial differential equation. Comput. Math. Appl. 73(6): 1233-1242 (2017) - [j242]Xue-lei Lin, Michael K. Ng, Hai-Wei Sun:
A multigrid method for linear systems arising from time-dependent two-dimensional space-fractional diffusion equations. J. Comput. Phys. 336: 69-86 (2017) - [j241]Xutao Li, Michael K. Ng, Yunming Ye, Eric Ke Wang, Xiaofei Xu:
Block linear discriminant analysis for visual tensor objects with frequency or time information. J. Vis. Commun. Image Represent. 49: 38-46 (2017) - [j240]Jianyu Pan, Michael K. P. Ng, Hong Wang:
Fast preconditioned iterative methods for finite volume discretization of steady-state space-fractional diffusion equations. Numer. Algorithms 74(1): 153-173 (2017) - [j239]Chuan Chen, Michael K. Ng, Shuqin Zhang:
Block spectral clustering for multiple graphs with inter-relation. Netw. Model. Anal. Health Informatics Bioinform. 6(1): 8 (2017) - [j238]Chuan Chen, Michael K. Ng, Shuqin Zhang:
Block spectral clustering methods for multiple graphs. Numer. Linear Algebra Appl. 24(1) (2017) - [j237]Wen Li, Dongdong Liu, Michael K. Ng, Seak-Weng Vong:
The uniqueness of multilinear PageRank vectors. Numer. Linear Algebra Appl. 24(6) (2017) - [j236]Michael K. Ng, Wei Wang, Xile Zhao:
A variational approach for restoring images corrupted by noisy blur kernels and additive noise. Numer. Linear Algebra Appl. 24(6) (2017) - [j235]Guojun Gan, Michael Kwok-Po Ng:
k-means clustering with outlier removal. Pattern Recognit. Lett. 90: 8-14 (2017) - [j234]Xiongjun Zhang, Minru Bai, Michael K. Ng:
Nonconvex-TV Based Image Restoration with Impulse Noise Removal. SIAM J. Imaging Sci. 10(3): 1627-1667 (2017) - [j233]Michael K. Ng, Henry Y. T. Ngan, Xiaoming Yuan, Wenxing Zhang:
Lattice-Based Patterned Fabric Inspection by Using Total Variation with Sparsity and Low-Rank Representations. SIAM J. Imaging Sci. 10(4): 2140-2164 (2017) - [j232]Xue-lei Lin, Michael K. Ng, Hai-Wei Sun:
A Splitting Preconditioner for Toeplitz-Like Linear Systems Arising from Fractional Diffusion Equations. SIAM J. Matrix Anal. Appl. 38(4): 1580-1614 (2017) - [j231]Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz:
Robust Data Assimilation Using L1 and Huber Norms. SIAM J. Sci. Comput. 39(3) (2017) - [j230]Michael Kwok-Po Ng, Qiangqiang Yuan, Li Yan, Jing Sun:
An Adaptive Weighted Tensor Completion Method for the Recovery of Remote Sensing Images With Missing Data. IEEE Trans. Geosci. Remote. Sens. 55(6): 3367-3381 (2017) - [j229]Liping Jing, Chenyang Shen, Liu Yang, Jian Yu, Michael K. Ng:
Multi-Label Classification by Semi-Supervised Singular Value Decomposition. IEEE Trans. Image Process. 26(10): 4612-4625 (2017) - [j228]Xutao Li, Michael K. Ng, Gao Cong, Yunming Ye, Qingyao Wu:
MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1787-1800 (2017) - 2016
- [j227]Shuqin Zhang, Michael K. Ng:
Gene-microRNA network module analysis for ovarian cancer. BMC Syst. Biol. 10(4): 445-455 (2016) - [j226]Michael K. Ng, Qingyao Wu, Chenyang Shen:
A fast Markov chain based algorithm for MIML learning. Neurocomputing 216: 763-777 (2016) - [j225]Liu Yang, Liping Jing, Michael K. Ng, Jian Yu:
A discriminative and sparse topic model for image classification and annotation. Image Vis. Comput. 51: 22-35 (2016) - [j224]Xue-lei Lin, Xin Lu, Michael K. Ng, Hai-Wei Sun:
A fast accurate approximation method with multigrid solver for two-dimensional fractional sub-diffusion equation. J. Comput. Phys. 323: 204-218 (2016) - [j223]Wilson Chow, Michael Ng:
Disintermediator or another intermediary? E-simulation platform for professional legal education at University of Hong Kong. Eur. J. Law Technol. 7(1) (2016) - [j222]Wei Wang, Chuan Chen, Michael K. Ng:
An image pixel based variational model for histogram equalization. J. Vis. Commun. Image Represent. 34: 118-134 (2016) - [j221]Ling Pi, Wei Wang, Michael K. Ng:
A spatially variant total variational model for chromatic aberration correction. J. Vis. Commun. Image Represent. 41: 296-304 (2016) - [j220]Wei Wang, Xile Zhao, Michael K. Ng:
A cartoon-plus-texture image decomposition model for blind deconvolution. Multidimens. Syst. Signal Process. 27(2): 541-562 (2016) - [j219]Xiaowei Zhang, Li Cheng, Delin Chu, Li-Zhi Liao, Michael K. Ng, Roger C. E. Tan:
Incremental Regularized Least Squares for Dimensionality Reduction of Large-Scale Data. SIAM J. Sci. Comput. 38(3) (2016) - [j218]Jianyu Pan, Michael K. Ng, Hong Wang:
Fast Iterative Solvers for Linear Systems Arising from Time-Dependent Space-Fractional Diffusion Equations. SIAM J. Sci. Comput. 38(5) (2016) - [j217]Huibin Chang, Yifei Lou, Michael K. Ng, Tieyong Zeng:
Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization. SIAM J. Sci. Comput. 38(6) (2016) - [j216]Wei Wang, Michael K. Ng:
Convex regularized inverse filtering methods for blind image deconvolution. Signal Image Video Process. 10(7): 1353-1360 (2016) - [j215]Xutao Li, Yunming Ye, Michael K. Ng:
MultiVCRank With Applications to Image Retrieval. IEEE Trans. Image Process. 25(3): 1396-1409 (2016) - [j214]Fan Wang, Xi-Le Zhao, Michael K. Ng:
Multiplicative Noise and Blur Removal by Framelet Decomposition and l1-Based L-Curve Method. IEEE Trans. Image Process. 25(9): 4222-4232 (2016) - [j213]Qingyao Wu, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng:
ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 28(10): 2665-2680 (2016) - [j212]Liu Yang, Liping Jing, Jian Yu, Michael K. Ng:
Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2187-2200 (2016) - 2015
- [j211]Rihuan Ke, Michael K. Ng, Hai-Wei Sun:
A fast direct method for block triangular Toeplitz-like with tri-diagonal block systems from time-fractional partial differential equations. J. Comput. Phys. 303: 203-211 (2015) - [j210]Motong Qiao, Michael K. Ng:
Tone mapping for high-dynamic-range images using localized gamma correction. J. Electronic Imaging 24(1): 013010 (2015) - [j209]Zhengmeng Jin, Michael K. Ng:
A contrast maximization method for color-to-grayscale conversion. Multidimens. Syst. Signal Process. 26(3): 869-877 (2015) - [j208]Chenyang Shen, JunJun Pan, Shuqin Zhang, Michael K. Ng:
Multiple networks modules identification by a multi-dimensional Markov chain method. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 32 (2015) - [j207]James G. Nagy, Michael K. Ng:
Dedication to Robert J. Plemmons. Numer. Linear Algebra Appl. 22(5): 793-794 (2015) - [j206]Xinxin Li, Michael K. Ng, Xiaoming Yuan:
Median filtering-based methods for static background extraction from surveillance video. Numer. Linear Algebra Appl. 22(5): 845-865 (2015) - [j205]Chuan Chen, Xutao Li, Michael K. Ng, Xiaoming Yuan:
Total variation based tensor decomposition for multi-dimensional data with time dimension. Numer. Linear Algebra Appl. 22(6): 999-1019 (2015) - [j204]Wen Li, Michael K. Ng:
Some bounds for the spectral radius of nonnegative tensors. Numerische Mathematik 130(2): 315-335 (2015) - [j203]Guojun Gan, Michael Kwok-Po Ng:
Subspace clustering using affinity propagation. Pattern Recognit. 48(4): 1455-1464 (2015) - [j202]Guojun Gan, Michael Kwok-Po Ng:
Subspace clustering with automatic feature grouping. Pattern Recognit. 48(11): 3703-3713 (2015) - [j201]Shuqin Zhang, Hongyu Zhao, Michael K. Ng:
Functional Module Analysis for Gene Coexpression Networks with Network Integration. IEEE ACM Trans. Comput. Biol. Bioinform. 12(5): 1146-1160 (2015) - [j200]Chuan Chen, Michael K. Ng, Xi-Le Zhao:
Alternating Direction Method of Multipliers for Nonlinear Image Restoration Problems. IEEE Trans. Image Process. 24(1): 33-43 (2015) - [j199]Jin Xiao, Michael Kwok-Po Ng, Yu-Fei Yang:
On the Convergence of Nonconvex Minimization Methods for Image Recovery. IEEE Trans. Image Process. 24(5): 1587-1598 (2015) - [j198]Liu Yang, Liping Jing, Michael K. Ng:
Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning. IEEE Trans. Image Process. 24(12): 4701-4714 (2015) - [j197]Delin Chu, Li-Zhi Liao, Michael Kwok-Po Ng, Xiaoyan Wang:
Incremental Linear Discriminant Analysis: A Fast Algorithm and Comparisons. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2716-2735 (2015) - 2014
- [j196]Wen Li, Michael K. Ng:
The Perturbation Bound for the Spectral Radius of a Nonnegative Tensor. Adv. Numer. Anal. 2014: 109525:1-109525:10 (2014) - [j195]Hongmin Cai, Peiying Ruan, Michael Kwok-Po Ng, Tatsuya Akutsu:
Feature weight estimation for gene selection: a local hyperlinear learning approach. BMC Bioinform. 15: 70 (2014) - [j194]Qingyao Wu, Yunming Ye, Michael K. Ng, Shen-Shyang Ho, Ruichao Shi:
Collective prediction of protein functions from protein-protein interaction networks. BMC Bioinform. 15(S-2): S9 (2014) - [j193]Qingyao Wu, Michael K. Ng, Yunming Ye:
Cotransfer Learning Using Coupled Markov Chains with Restart. IEEE Intell. Syst. 29(4): 26-33 (2014) - [j192]Xiao-Shan Chen, Wen Li, Michael K. Ng:
On condition numbers of the spectral projections associated with periodic eigenproblems. J. Comput. Appl. Math. 272: 417-429 (2014) - [j191]Qingyao Wu, Michael K. Ng, Yunming Ye, Xutao Li, Ruichao Shi, Yan Li:
Multi-label collective classification via Markov chain based learning method. Knowl. Based Syst. 63: 1-14 (2014) - [j190]Qingyao Wu, Yunming Ye, Haijun Zhang, Michael K. Ng, Shen-Shyang Ho:
ForesTexter: An efficient random forest algorithm for imbalanced text categorization. Knowl. Based Syst. 67: 105-116 (2014) - [j189]Xi-Le Zhao, Fan Wang, Michael K. Ng:
A New Convex Optimization Model for Multiplicative Noise and Blur Removal. SIAM J. Imaging Sci. 7(1): 456-475 (2014) - [j188]Zhengmeng Jin, Fang Li, Michael K. Ng:
A Variational Approach for Image Decolorization by Variance Maximization. SIAM J. Imaging Sci. 7(2): 944-968 (2014) - [j187]Lu-Bin Cui, Wen Li, Michael K. Ng:
Birkhoff-von Neumann Theorem for Multistochastic Tensors. SIAM J. Matrix Anal. Appl. 35(3): 956-973 (2014) - [j186]Michael K. Ng, Jianyu Pan:
Weighted Toeplitz Regularized Least Squares Computation for Image Restoration. SIAM J. Sci. Comput. 36(1) (2014) - [j185]Jianyu Pan, Rihuan Ke, Michael K. Ng, Hai-Wei Sun:
Preconditioning Techniques for Diagonal-times-Toeplitz Matrices in Fractional Diffusion Equations. SIAM J. Sci. Comput. 36(6) (2014) - [j184]Michael K. Ng, Henry Y. T. Ngan, Xiaoming Yuan, Wenxing Zhang:
Patterned Fabric Inspection and Visualization by the Method of Image Decomposition. IEEE Trans Autom. Sci. Eng. 11(3): 943-947 (2014) - [j183]Liping Jing, Michael K. Ng:
Sparse Label-Indicator Optimization Methods for Image Classification. IEEE Trans. Image Process. 23(3): 1002-1014 (2014) - [j182]Xutao Li, Michael K. Ng, Yunming Ye:
MultiComm: Finding Community Structurein Multi-Dimensional Networks. IEEE Trans. Knowl. Data Eng. 26(4): 929-941 (2014) - [j181]Huibin Chang, Michael K. Ng, Tieyong Zeng:
Reducing Artifacts in JPEG Decompression Via a Learned Dictionary. IEEE Trans. Signal Process. 62(3): 718-728 (2014) - 2013
- [j180]Fan Wang, Michael K. Ng:
A fast minimization method for blur and multiplicative noise removal. Int. J. Comput. Math. 90(1): 48-61 (2013) - [j179]Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng:
Superlinear Convergence of a General Algorithm for the Generalized Foley-Sammon Discriminant Analysis. J. Optim. Theory Appl. 157(3): 853-865 (2013) - [j178]Qingyao Wu, Michael K. Ng, Yunming Ye:
Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm. Knowl. Inf. Syst. 37(1): 83-104 (2013) - [j177]Lek-Heng Lim, Michael K. Ng, Liqun Qi:
The spectral theory of tensors and its applications. Numer. Linear Algebra Appl. 20(6): 889-890 (2013) - [j176]Wen Li, Lu-Bin Cui, Michael K. Ng:
The perturbation bound for the Perron vector of a transition probability tensor. Numer. Linear Algebra Appl. 20(6): 985-1000 (2013) - [j175]Delin Chu, Li-Zhi Liao, Michael K. Ng, Xiaowei Zhang:
Sparse Canonical Correlation Analysis: New Formulation and Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 3050-3065 (2013) - [j174]Yunming Ye, Qingyao Wu, Joshua Zhexue Huang, Michael K. Ng, Xutao Li:
Stratified sampling for feature subspace selection in random forests for high dimensional data. Pattern Recognit. 46(3): 769-787 (2013) - [j173]Wei Wang, Michael K. Ng:
A Variational Approach for Image Stitching I. SIAM J. Imaging Sci. 6(3): 1318-1344 (2013) - [j172]Michael K. Ng, Wei Wang:
A Variational Approach for Image Stitching II: Using Image Gradients. SIAM J. Imaging Sci. 6(3): 1345-1366 (2013) - [j171]Wei Wang, Michael K. Ng:
A Variational Histogram Equalization Method for Image Contrast Enhancement. SIAM J. Imaging Sci. 6(3): 1823-1849 (2013) - [j170]Mila Nikolova, Michael K. Ng, Chi-Pan Tam:
On 퓁1 Data Fitting and Concave Regularization for Image Recovery. SIAM J. Sci. Comput. 35(1) (2013) - [j169]Xi-Le Zhao, Wei Wang, Tieyong Zeng, Ting-Zhu Huang, Michael K. Ng:
Total Variation Structured Total Least Squares Method for Image Restoration. SIAM J. Sci. Comput. 35(6) (2013) - [j168]Xi-Le Zhao, Fan Wang, Ting-Zhu Huang, Michael K. Ng, Robert J. Plemmons:
Deblurring and Sparse Unmixing for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 51(7-1): 4045-4058 (2013) - [j167]Michael K. Ng, Xiaoming Yuan, Wenxing Zhang:
Coupled Variational Image Decomposition and Restoration Model for Blurred Cartoon-Plus-Texture Images With Missing Pixels. IEEE Trans. Image Process. 22(6): 2233-2246 (2013) - [j166]Xiangnan Kong, Michael K. Ng, Zhi-Hua Zhou:
Transductive Multilabel Learning via Label Set Propagation. IEEE Trans. Knowl. Data Eng. 25(3): 704-719 (2013) - [j165]Liping Jing, Michael K. Ng, Tieyong Zeng:
Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. 24(8): 1188-1199 (2013) - 2012
- [j164]Billy K. L. So, Michael Kwok-Po Ng, Peiyao Zhang, Hui Lin:
GIS in urban cultural studies: reflections from the project on Republican Beijing. Ann. GIS 18(1): 81-92 (2012) - [j163]Wen Li, Lu-Bin Cui, Michael K. Ng:
On computation of the steady-state probability distribution of probabilistic Boolean networks with gene perturbation. J. Comput. Appl. Math. 236(16): 4067-4081 (2012) - [j162]Michael K. Ng, Raymond H. Chan, Xiaojun Chen, Liqun Qi, Franklin T. Luk, Eugene Tyrtyshnikov:
Structured matrices and tensors. Numer. Linear Algebra Appl. 19(1): 1-2 (2012) - [j161]Jun-Feng Yin, Guo-Jian Yin, Michael K. Ng:
On adaptively accelerated Arnoldi method for computing PageRank. Numer. Linear Algebra Appl. 19(1): 73-85 (2012) - [j160]Fang Li, Michael K. Ng, Robert J. Plemmons:
Coupled segmentation and denoising/deblurring models for hyperspectral material identification. Numer. Linear Algebra Appl. 19(1): 153-173 (2012) - [j159]Zhong-Zhi Bai, Michael K. Ng:
Erratum. Numer. Linear Algebra Appl. 19(5): 891 (2012) - [j158]Xiao-Shan Chen, Wen Li, Michael K. Ng:
Perturbation Analysis for Antitriangular Schur Decomposition. SIAM J. Matrix Anal. Appl. 33(2): 325-335 (2012) - [j157]Delin Chu, Li-Zhi Liao, Michael K. Ng:
Sparse Orthogonal Linear Discriminant Analysis. SIAM J. Sci. Comput. 34(5) (2012) - [j156]Luonan Chen, Michael K. Ng:
Guest Editorial: Bioinformatics and Computational Systems Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 9(4): 945-946 (2012) - [j155]Wei Wang, Michael K. Ng:
A Variational Method for Multiple-Image Blending. IEEE Trans. Image Process. 21(4): 1809-1822 (2012) - [j154]Yan Nei Law, Hwee Kuan Lee, Michael K. Ng, Andy M. Yip:
A Semisupervised Segmentation Model for Collections of Images. IEEE Trans. Image Process. 21(6): 2955-2968 (2012) - [j153]Liping Jing, Chao Zhang, Michael K. Ng:
SNMFCA: Supervised NMF-Based Image Classification and Annotation. IEEE Trans. Image Process. 21(11): 4508-4521 (2012) - [j152]Yu-Mei Huang, Lionel Moisan, Michael K. Ng, Tieyong Zeng:
Multiplicative Noise Removal via a Learned Dictionary. IEEE Trans. Image Process. 21(11): 4534-4543 (2012) - [j151]Xiaojun Chen, Michael K. Ng, Chao Zhang:
Non-Lipschitz lp-Regularization and Box Constrained Model for Image Restoration. IEEE Trans. Image Process. 21(12): 4709-4721 (2012) - 2011
- [j150]Liping Jing, Michael K. Ng, Tieyong Zeng:
On gene Selection and Classification for Cancer microarray Data Using Multi-Step Clustering and Sparse Representation. Adv. Data Sci. Adapt. Anal. 3(1-2): 127-148 (2011) - [j149]You-Wei Wen, Wai-Ki Ching, Michael K. Ng:
Approximate inverse-free preconditioners for Toeplitz matrices. Appl. Math. Comput. 217(16): 6856-6867 (2011) - [j148]Yang Liu, Yiu Lee, Michael K. Ng:
SNP and gene networks construction and analysis from classification of copy number variations data. BMC Bioinform. 12(S-5): S4 (2011) - [j147]Andy C. Yau, Xue-Cheng Tai, Michael K. Ng:
Compression and denoising using l0-norm. Comput. Optim. Appl. 50(2): 425-444 (2011) - [j146]Michele Benzi, Michael K. Ng, Qiang Niu, Zhen Wang:
A Relaxed Dimensional Factorization preconditioner for the incompressible Navier-Stokes equations. J. Comput. Phys. 230(16): 6185-6202 (2011) - [j145]Michael K. Ng, Fan Wang, Xiao-Ming Yuan:
Fast minimization methods for solving constrained total-variation superresolution image reconstruction. Multidimens. Syst. Signal Process. 22(1-3): 259-286 (2011) - [j144]Michael K. Ng, Li-Zhi Liao, Lei-Hong Zhang:
On sparse linear discriminant analysis algorithm for high-dimensional data classification. Numer. Linear Algebra Appl. 18(2): 223-235 (2011) - [j143]Yu Xiao, Tieyong Zeng, Jian Yu, Michael K. Ng:
Restoration of images corrupted by mixed Gaussian-impulse noise via l1-l0 minimization. Pattern Recognit. 44(8): 1708-1720 (2011) - [j142]Michael K. Ng, Wei Wang:
A Total Variation Model for Retinex. SIAM J. Imaging Sci. 4(1): 345-365 (2011) - [j141]Michael K. Ng, Fan Wang, Xiaoming Yuan:
Inexact Alternating Direction Methods for Image Recovery. SIAM J. Sci. Comput. 33(4): 1643-1668 (2011) - [j140]Haiyong Liao, Michael K. Ng:
Blind Deconvolution Using Generalized Cross-Validation Approach to Regularization Parameter Estimation. IEEE Trans. Image Process. 20(3): 670-680 (2011) - 2010
- [j139]Yu-Mei Huang, Michael K. Ng:
Product-type block preconditioners for electromagnetic cavity problems. Appl. Math. Comput. 216(6): 1741-1751 (2010) - [j138]Liping Jing, Michael K. Ng:
Prior knowledge based mining functional modules from Yeast PPI networks with gene ontology. BMC Bioinform. 11(S-11): S3 (2010) - [j137]Yang Liu, Michael K. Ng:
Shrunken methodology to genome-wide SNPs selection and construction of SNPs networks. BMC Syst. Biol. 4(S-2): S5 (2010) - [j136]Michael K. Ng, Guoping Qiu, Andy M. Yip:
Numerical methods for interactive multiple-class image segmentation problems. Int. J. Imaging Syst. Technol. 20(3): 191-201 (2010) - [j135]Yang Liu, Mark Junjie Li, Yiu-ming Cheung, Pak Chung Sham, Michael K. Ng:
SKM-SNP: SNP markers detection method. J. Biomed. Informatics 43(2): 233-239 (2010) - [j134]Liping Jing, Michael K. Ng, Joshua Zhexue Huang:
Knowledge-based vector space model for text clustering. Knowl. Inf. Syst. 25(1): 35-55 (2010) - [j133]Fu-Rong Lin, Michael K. Ng:
Inverse product Toeplitz preconditioners for non-Hermitian Toeplitz systems. Numer. Algorithms 54(2): 279-295 (2010) - [j132]Xutao Li, Yunming Ye, Mark Junjie Li, Michael K. Ng:
On cluster tree for nested and multi-density data clustering. Pattern Recognit. 43(9): 3130-3143 (2010) - [j131]Fang Li, Michael K. Ng, Chunming Li:
Variational Fuzzy Mumford--Shah Model for Image Segmentation. SIAM J. Appl. Math. 70(7): 2750-2770 (2010) - [j130]Fang Li, Michael K. Ng, Chaomin Shen:
Multiplicative Noise Removal with Spatially Varying Regularization Parameters. SIAM J. Imaging Sci. 3(1): 1-20 (2010) - [j129]Fang Li, Michael K. Ng, Tieyong Zeng, Chunli Shen:
A Multiphase Image Segmentation Method Based on Fuzzy Region Competition. SIAM J. Imaging Sci. 3(3): 277-299 (2010) - [j128]Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng:
Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis. SIAM J. Matrix Anal. Appl. 31(4): 1584-1605 (2010) - [j127]Nicola Mastronardi, Michael K. Ng, E. E. Tyrtyshnikov:
Decay in Functions of Multiband Matrices. SIAM J. Matrix Anal. Appl. 31(5): 2721-2737 (2010) - [j126]Michael K. Ng, Jianyu Pan:
Approximate Inverse Circulant-plus-Diagonal Preconditioners for Toeplitz-plus-Diagonal Matrices. SIAM J. Sci. Comput. 32(3): 1442-1464 (2010) - [j125]Michael K. Ng, Pierre Weiss, Xiaoming Yuan:
Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods. SIAM J. Sci. Comput. 32(5): 2710-2736 (2010) - [j124]Kelvin Wong, Chi-Pan Tam, Michael K. Ng:
Accurate Vascular Delay Estimation from Low-Temporal Resolution Image Data Set [Life Sciences]. IEEE Signal Process. Mag. 27(3): 155-158 (2010) - [j123]Tieyong Zeng, Michael K. Ng:
On the Total Variation Dictionary Model. IEEE Trans. Image Process. 19(3): 821-825 (2010) - [j122]Mila Nikolova, Michael K. Ng, Chi-Pan Tam:
Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction. IEEE Trans. Image Process. 19(12): 3073-3088 (2010) - [j121]Liping Jing, Michael K. Ng, Ying Liu:
Construction of gene networks with hybrid approach from expression profile and gene ontology. IEEE Trans. Inf. Technol. Biomed. 14(1): 107-118 (2010) - 2009
- [j120]Huanfeng Shen, Michael K. Ng, Pingxiang Li, Liangpei Zhang:
Super-Resolution Reconstruction Algorithm To MODIS Remote Sensing Images. Comput. J. 52(1): 90-100 (2009) - [j119]Tak Kuen Siu, Wai-Ki Ching, Eric S. Fung, Michael K. Ng, Xun Li:
A high-order Markov-switching model for risk measurement. Comput. Math. Appl. 58(1): 1-10 (2009) - [j118]Kevin Y. Yip, Lin Cheung, David W. Cheung, Liping Jing, Michael K. Ng:
A semi-supervised approach to projected clustering with applications to microarray data. Int. J. Data Min. Bioinform. 3(3): 229-259 (2009) - [j117]Liping Jing, Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang:
SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters. Int. J. Data Min. Model. Manag. 1(2): 149-177 (2009) - [j116]Michael K. Ng, Liping Jing:
A new fuzzy k-modes clustering algorithm for categorical data. Int. J. Granul. Comput. Rough Sets Intell. Syst. 1(1): 105-119 (2009) - [j115]Yu-Mei Huang, Michael K. Ng, You-Wei Wen:
A New Total Variation Method for Multiplicative Noise Removal. SIAM J. Imaging Sci. 2(1): 20-40 (2009) - [j114]Zhong-Zhi Bai, Michael K. Ng, Zeng-Qi Wang:
Constraint Preconditioners for Symmetric Indefinite Matrices. SIAM J. Matrix Anal. Appl. 31(2): 410-433 (2009) - [j113]Michael K. P. Ng, Liqun Qi, Guanglu Zhou:
Finding the Largest Eigenvalue of a Nonnegative Tensor. SIAM J. Matrix Anal. Appl. 31(3): 1090-1099 (2009) - [j112]Zhong-Zhi Bai, Yu-Mei Huang, Michael K. Ng:
On Preconditioned Iterative Methods for Certain Time-Dependent Partial Differential Equations. SIAM J. Numer. Anal. 47(2): 1019-1037 (2009) - [j111]Xiaoxia Guo, Fang Li, Michael K. Ng:
A Fast l1-TV Algorithm for Image Restoration. SIAM J. Sci. Comput. 31(3): 2322-2341 (2009) - [j110]Yu-Mei Huang, Michael K. Ng, You-Wei Wen:
Fast Image Restoration Methods for Impulse and Gaussian Noises Removal. IEEE Signal Process. Lett. 16(6): 457-460 (2009) - [j109]Xiaohua Hu, Michael K. Ng, Fang-Xiang Wu, Bahrad A. Sokhansanj:
Mining, Modeling, and Evaluation of Subnetworks From Large Biomolecular Networks and Its Comparison Study. IEEE Trans. Inf. Technol. Biomed. 13(2): 184-194 (2009) - 2008
- [j108]Haiyong Liao, Michael K. Ng, Eric S. Fung, Pak Chung Sham:
Unidimensional nonnegative scaling for genome-wide Linkage Disequilibrium maps. Int. J. Bioinform. Res. Appl. 4(4): 417-434 (2008) - [j107]Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K. Ng, Jiali Xia Jiangxi, Xiaohua Zhou:
Medical Document Clustering Using Ontology-Based Term Similarity Measures. Int. J. Data Warehous. Min. 4(1): 62-73 (2008) - [j106]Yu-Mei Huang, Michael K. Ng, You-Wei Wen:
A Fast Total Variation Minimization Method for Image Restoration. Multiscale Model. Simul. 7(2): 774-795 (2008) - [j105]Mila Nikolova, Michael K. Ng, Shuqin Zhang, Wai-Ki Ching:
Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization. SIAM J. Imaging Sci. 1(1): 2-25 (2008) - [j104]You-Wei Wen, Michael K. Ng, Wai-Ki Ching:
Iterative Algorithms Based on Decoupling of Deblurring and Denoising for Image Restoration. SIAM J. Sci. Comput. 30(5): 2655-2674 (2008) - [j103]You-Wei Wen, Michael K. Ng, Yu-Mei Huang:
Efficient Total Variation Minimization Methods for Color Image Restoration. IEEE Trans. Image Process. 17(11): 2081-2088 (2008) - [j102]Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang:
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters. IEEE Trans. Knowl. Data Eng. 20(11): 1519-1534 (2008) - 2007
- [j101]Linzhang Lu, Michael K. Ng:
Maximum inverse positive matrices. Appl. Math. Lett. 20(1): 65-69 (2007) - [j100]Yimin Wei, Naimin Zhang, Michael K. Ng, Wei Xu:
Tikhonov regularization for weighted total least squares problems. Appl. Math. Lett. 20(1): 82-87 (2007) - [j99]Pak Chung Sham, Sio Iong Ao, Johnny S. H. Kwan, P. Kao, F. Cheung, Pui-Yee Fong, Michael K. Ng:
Combining functional and linkage disequilibrium information in the selection of tag SNPs. Bioinform. 23(1): 129-131 (2007) - [j98]Wai-Ki Ching, Shuqin Zhang, Michael K. Ng, Tatsuya Akutsu:
An approximation method for solving the steady-state probability distribution of probabilistic Boolean networks. Bioinform. 23(12): 1511-1518 (2007) - [j97]Sio Iong Ao, Michael K. Ng, Pak Chung Sham:
Constrained unidimensional scaling with application to genomics. Comput. Stat. Data Anal. 52(1): 201-210 (2007) - [j96]Michael K. Ng, Huanfeng Shen, Edmund Y. Lam, Liangpei Zhang:
A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video. EURASIP J. Adv. Signal Process. 2007 (2007) - [j95]Shuqin Zhang, Morihiro Hayashida, Tatsuya Akutsu, Wai-Ki Ching, Michael Kwok-Po Ng:
Algorithms for Finding Small Attractors in Boolean Networks. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - [j94]Lin Cheung, David W. Cheung, Ben Kao, Kevin Y. Yip, Michael K. Ng:
On mining micro-array data by Order-Preserving Submatrix. Int. J. Bioinform. Res. Appl. 3(1): 42-64 (2007) - [j93]Shuqin Zhang, Wai-Ki Ching, Michael K. Ng, Tatsuya Akutsu:
Simulation study in Probabilistic Boolean Network models for genetic regulatory networks. Int. J. Data Min. Bioinform. 1(3): 217-240 (2007) - [j92]Michael K. Ng, Liqun Qi, Yu-Fei Yang, Yu-Mei Huang:
On Semismooth Newton's Methods for Total Variation Minimization. J. Math. Imaging Vis. 27(3): 265-276 (2007) - [j91]Michael K. Ng, Edmund Y. Lam, Chong-Sze Tong:
Superresolution imaging: Theory, Algorithms and Applications. Multidimens. Syst. Signal Process. 18(2-3): 57-58 (2007) - [j90]Wai-San Chan, Edmund Y. Lam, Michael K. Ng, Giuseppe Y. Mak:
Super-resolution reconstruction in a computational compound-eye imaging system. Multidimens. Syst. Signal Process. 18(2-3): 83-101 (2007) - [j89]Andy C. Yau, N. K. Bose, Michael K. Ng:
An efficient algorithm for superresolution in medium field imaging. Multidimens. Syst. Signal Process. 18(2-3): 173-188 (2007) - [j88]Zhong-Zhi Bai, Gene H. Golub, Michael K. Ng:
On successive-overrelaxation acceleration of the Hermitian and skew-Hermitian splitting iterations. Numer. Linear Algebra Appl. 14(4): 319-335 (2007) - [j87]Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He:
On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 503-507 (2007) - [j86]Michael K. Ng, Elaine Y. Chan, Meko M. C. So, Wai-Ki Ching:
A semi-supervised regression model for mixed numerical and categorical variables. Pattern Recognit. 40(6): 1745-1752 (2007) - [j85]Wai-Ki Ching, Michael K. Ng, You-Wei Wen:
Block Diagonal and Schur Complement Preconditioners for Block-Toeplitz Systems with Small Size Blocks. SIAM J. Matrix Anal. Appl. 29(4): 1101-1119 (2007) - [j84]Zhong-Zhi Bai, Yu-Mei Huang, Michael K. Ng:
On Preconditioned Iterative Methods for Burgers Equations. SIAM J. Sci. Comput. 29(1): 415-439 (2007) - [j83]Andy M. Yip, Michael K. Ng, Edmond HaoCun Wu, Tony F. Chan:
Strategies for Identifying Statistically Significant Dense Regions in Microarray Data. IEEE ACM Trans. Comput. Biol. Bioinform. 4(3): 415-429 (2007) - [j82]Liping Jing, Michael K. Ng, Joshua Zhexue Huang:
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data. IEEE Trans. Knowl. Data Eng. 19(8): 1026-1041 (2007) - 2006
- [j81]Zhong-Zhi Bai, Wai-Ki Ching, Michael K. Ng:
Preface. Appl. Math. Comput. 172(2): 679-681 (2006) - [j80]Linzhang Lu, Michael K. Ng:
Effects of a parameter on a nonsymmetric algebraic Riccati equation. Appl. Math. Comput. 172(2): 753-761 (2006) - [j79]Jianyu Pan, Michael K. Ng, Zhong-Zhi Bai:
New preconditioners for saddle point problems. Appl. Math. Comput. 172(2): 762-771 (2006) - [j78]Yimin Wei, Huaian Diao, Michael K. Ng:
On Drazin inverse of singular Toeplitz matrix. Appl. Math. Comput. 172(2): 809-817 (2006) - [j77]Nirmal K. Bose, Michael Kwok-Po Ng, Andy C. Yau:
A Fast Algorithm for Image Super-Resolution from Blurred Observations. EURASIP J. Adv. Signal Process. 2006 (2006) - [j76]Michael K. P. Ng, Tony F. Chan, Moon Gi Kang, Peyman Milanfar:
Super-Resolution Imaging: Analysis, Algorithms, and Applications. EURASIP J. Adv. Signal Process. 2006 (2006) - [j75]Vicenç Torra, Josep Domingo-Ferrer, Josep Maria Mateo-Sanz, Michael K. Ng:
Regression for ordinal variables without underlying continuous variables. Inf. Sci. 176(4): 465-474 (2006) - [j74]Michael K. Ng, Eric S. Fung, Yiu-Fai Lee, Wai-Ki Ching:
A Recursive Method for Solving Haplotype Frequencies with Application to Genetics. J. Bioinform. Comput. Biol. 4(6): 1269-1286 (2006) - [j73]Michele Benzi, Michael K. Ng:
Preconditioned Iterative Methods for Weighted Toeplitz Least Squares Problems. SIAM J. Matrix Anal. Appl. 27(4): 1106-1124 (2006) - [j72]Haoying Fu, Michael K. Ng, Mila Nikolova, Jesse L. Barlow:
Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration. SIAM J. Sci. Comput. 27(6): 1881-1902 (2006) - [j71]Haoying Fu, Michael K. Ng, Jesse L. Barlow:
Structured Total Least Squares for Color Image Restoration. SIAM J. Sci. Comput. 28(3): 1100-1119 (2006) - [j70]Sio Iong Ao, Michael K. Ng:
Gene expression time series modeling with principal component and neural network. Soft Comput. 10(4): 351-358 (2006) - [j69]Michael K. Ng, Shuqin Zhang, Wai-Ki Ching, Tatsuya Akutsu:
A Control Model for Markovian Genetic Regulatory Networks. Trans. Comp. Sys. Biology 5: 36-48 (2006) - 2005
- [j68]Michael K. Ng, Wilson C. Kwan:
Image restoration by cosine transform-based iterative regularization. Appl. Math. Comput. 160(2): 499-515 (2005) - [j67]Andy C. Ho, Michael K. Ng:
Iterative methods for Robbins problems. Appl. Math. Comput. 165(1): 103-125 (2005) - [j66]Sio Iong Ao, Kevin Y. Yip, Michael K. Ng, David Wai-Lok Cheung, Pui-Yee Fong, Ian Melhado, Pak Chung Sham:
CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs. Bioinform. 21(8): 1735-1736 (2005) - [j65]Teresa K. C. Woo, Vincent K. W. Cheng, Christopher D. Beling, Michael K. P. Ng:
An evaluation of algorithms for the deconvolution of Doppler broadening positron annihilation radiation spectroscopy spectra. Comput. Phys. Commun. 168(3): 177-186 (2005) - [j64]Wai-Ki Ching, Michael K. Ng, Eric S. Fung, Tatsuya Akutsu:
On construction of stochastic genetic networks based on gene expression sequences. Int. J. Neural Syst. 15(4): 297-310 (2005) - [j63]Michael K. Ng, Andy C. Yau:
Super-Resolution Image Restoration from Blurred Low-Resolution Images. J. Math. Imaging Vis. 23(3): 367-378 (2005) - [j62]Raymond H. Chan, Wai-Ki Ching, Franklin T. Luk, Michael Kwok-Po Ng:
Structured matrices with applications. Numer. Linear Algebra Appl. 12(2-3): 87 (2005) - [j61]Yimin Wei, Michael K. Ng:
Displacement structure of group inverses. Numer. Linear Algebra Appl. 12(2-3): 103-110 (2005) - [j60]Michael K. Ng, Stefano Serra Capizzano, Cristina Tablino Possio:
Numerical behaviour of multigrid methods for symmetric Sinc-Galerkin systems. Numer. Linear Algebra Appl. 12(2-3): 261-269 (2005) - [j59]Wai-Ki Ching, Michael K. Ng, Kenton N. Sze, Andy C. Yau:
Super-resolution image reconstruction using multisensors. Numer. Linear Algebra Appl. 12(2-3): 271-281 (2005) - [j58]Jianyu Pan, Zhong-Zhi Bai, Michael K. Ng:
Two-step waveform relaxation methods for implicit linear initial value problems. Numer. Linear Algebra Appl. 12(2-3): 293-304 (2005) - [j57]Daniele Bertaccini, You-Wei Wen, Michael K. Ng:
The eigenvalues of preconditioned matrices for linear multistep formulas in boundary value form. Numer. Linear Algebra Appl. 12(2-3): 315-325 (2005) - [j56]Man-Kiu Ho, Michael K. Ng:
Splitting iterations for circulant-plus-diagonal systems. Numer. Linear Algebra Appl. 12(8): 779-792 (2005) - [j55]Wai-Ki Ching, Michael K. Ng, Wai-On Yuen:
A direct method for solving block-Toeplitz with near-circulant-block systems with applications to hybrid manufacturing systems. Numer. Linear Algebra Appl. 12(10): 957-966 (2005) - [j54]Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong, Zichen Li:
Automated Variable Weighting in k-Means Type Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 657-668 (2005) - [j53]Henry Y. T. Ngan, Grantham K. H. Pang, S. P. Yung, Michael Kwok-Po Ng:
Wavelet based methods on patterned fabric defect detection. Pattern Recognit. 38(4): 559-576 (2005) - [j52]Zhong-Zhi Bai, Michael K. Ng:
On Inexact Preconditioners for Nonsymmetric Matrices. SIAM J. Sci. Comput. 26(5): 1710-1724 (2005) - [j51]Fu-Rong Lin, Michael K. Ng, Wai-Ki Ching:
Factorized Banded Inverse Preconditioners for Matrices with Toeplitz Structure. SIAM J. Sci. Comput. 26(6): 1852-1870 (2005) - [j50]Mila Nikolova, Michael K. Ng:
Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery. SIAM J. Sci. Comput. 27(3): 937-966 (2005) - 2004
- [j49]Yimin Wei, Michael K. Ng:
Weighted Tikhonov filter matrices for ill-posed problems. Appl. Math. Comput. 149(2): 411-422 (2004) - [j48]Linzhang Lu, Wai-Ki Ching, Michael K. Ng:
Exact algorithms for singular tridiagonal systems with applications to Markov chains. Appl. Math. Comput. 159(1): 275-289 (2004) - [j47]You-Wei Wen, Michael K. Ng, Wai-Ki Ching, Hong Liu:
A note on the stability of Toeplitz matrix inversion formulas. Appl. Math. Lett. 17(8): 903-907 (2004) - [j46]Joshua Zhexue Huang, Michael K. Ng, Edmond HaoCun Wu:
A data warehousing and data mining framework for web usage management. Commun. Inf. Syst. 4(4): 301-324 (2004) - [j45]Nirmal K. Bose, Raymond H. Chan, Michael K. Ng:
Guest editorial. Int. J. Imaging Syst. Technol. 14(2): 35 (2004) - [j44]You-Wei Wen, Michael K. Ng, Wai-Ki Ching:
High-resolution image reconstruction from rotated and translated low-resolution images with multisensors. Int. J. Imaging Syst. Technol. 14(2): 75-83 (2004) - [j43]Michael K. Ng, C. K. Sze, S. P. Yung:
Wavelet algorithms for deblurring models. Int. J. Imaging Syst. Technol. 14(3): 113-121 (2004) - [j42]Ronald R. Peeters, Pierre Kornprobst, Mila Nikolova, Stefan Sunaert, Thierry Viéville, Grégoire Malandain, Rachid Deriche, Olivier D. Faugeras, Michael K. P. Ng, Paul Van Hecke:
The use of super-resolution techniques to reduce slice thickness in functional MRI. Int. J. Imaging Syst. Technol. 14(3): 131-138 (2004) - [j41]Kevin Y. Yip, David W. Cheung, Michael K. Ng, Kei-Hoi Cheung:
Identifying projected clusters from gene expression profiles. J. Biomed. Informatics 37(5): 345-357 (2004) - [j40]Wai-Ki Ching, Michael K. Ng, Ka-Kuen Wong, Eitan Altman:
Customer lifetime value: stochastic optimization approach. J. Oper. Res. Soc. 55(8): 860-868 (2004) - [j39]Yimin Wei, Jianfeng Cai, Michael K. Ng:
Computing Moore-Penrose inverses of Toeplitz matrices by Newton's iteration. Math. Comput. Model. 40(1-2): 181-191 (2004) - [j38]Linzhang Lu, Michael K. Ng:
On sufficient and necessary conditions for the Jacobi matrix inverse eigenvalue problem. Numerische Mathematik 98(1): 167-176 (2004) - [j37]Elaine Y. Chan, Wai-Ki Ching, Michael K. Ng, Joshua Zhexue Huang:
An optimization algorithm for clustering using weighted dissimilarity measures. Pattern Recognit. 37(5): 943-952 (2004) - [j36]Fu-Rong Lin, Wai-Ki Ching, Michael K. Ng:
Fast inversion of triangular Toeplitz matrices. Theor. Comput. Sci. 315(2-3): 511-523 (2004) - [j35]Kevin Y. Yip, David W. Cheung, Michael K. Ng:
HARP: A Practical Projected Clustering Algorithm. IEEE Trans. Knowl. Data Eng. 16(11): 1387-1397 (2004) - 2003
- [j34]Zhexue Huang, Michael K. Ng:
A Note on K-modes Clustering. J. Classif. 20(2): 257-261 (2003) - [j33]Wai-Ki Ching, Michael K. Ng, Kenton N. Sze, Andy C. Yau:
Superresolution image reconstruction from blurred observations by multisensors. Int. J. Imaging Syst. Technol. 13(3): 153-160 (2003) - [j32]Qiang Yang, Joshua Zhexue Huang, Michael K. Ng:
A Data Cube Model for Prediction-Based Web Prefetching. J. Intell. Inf. Syst. 20(1): 1-30 (2003) - [j31]W.-K. Ching, E. S. Fung, Michael K. Ng:
A higher-order Markov model for the Newsboy's problem. J. Oper. Res. Soc. 54(3): 291-298 (2003) - [j30]Zhong-Zhi Bai, Michael K. Ng:
Preconditioners for nonsymmetric block toeplitz-like-plus-diagonal linear systems. Numerische Mathematik 96(2): 197-220 (2003) - [j29]Zhong-Zhi Bai, Gene H. Golub, Michael K. Ng:
Hermitian and Skew-Hermitian Splitting Methods for Non-Hermitian Positive Definite Linear Systems. SIAM J. Matrix Anal. Appl. 24(3): 603-626 (2003) - [j28]James G. Nagy, Michael K. Ng, Lisa Perrone:
Kronecker Product Approximations forImage Restoration with Reflexive Boundary Conditions. SIAM J. Matrix Anal. Appl. 25(3): 829-841 (2003) - [j27]Michael K. Ng, Hai-Wei Sun, Xiao-Qing Jin:
Recursive-Based PCG Methods for Toeplitz Systems with Nonnegative Generating Functions. SIAM J. Sci. Comput. 24(5): 1507-1529 (2003) - [j26]Michael K. Ng, Nirmal Kumar Bose:
Mathematical analysis of super-resolution methodology. IEEE Signal Process. Mag. 20(3): 62-74 (2003) - 2002
- [j25]Michael K. Ng, Jaehoon Koo, Nirmal K. Bose:
Constrained total least-squares computations for high-resolution image reconstruction with multisensors. Int. J. Imaging Syst. Technol. 12(1): 35-42 (2002) - [j24]Michael K. Ng, Nirmal K. Bose:
Fast color image restoration with multisensors. Int. J. Imaging Syst. Technol. 12(5): 189-197 (2002) - [j23]Raymond H. Chan, Michael K. Ng, Andy M. Yip:
The best circulant preconditioners for Hermitian Toeplitz systems II: The multiple-zero case. Numerische Mathematik 92(1): 17-40 (2002) - [j22]Michael K. Ng, Joyce C. Wong:
Clustering categorical data sets using tabu search techniques. Pattern Recognit. 35(12): 2783-2790 (2002) - [j21]Michael K. Ng, Daniel Potts:
Fast Iterative Methods for Sinc Systems. SIAM J. Matrix Anal. Appl. 24(2): 581-598 (2002) - 2001
- [j20]Michael K. Ng, Wilson C. Kwan:
High-Resolution Color Image Reconstruction with Neumann Boundary Conditions. Ann. Oper. Res. 103(1-4): 99-113 (2001) - [j19]Michael K. Ng, Andy M. Yip:
A Fast MAP Algorithm for High-Resolution Image Reconstruction with Multisensors. Multidimens. Syst. Signal Process. 12(2): 143-164 (2001) - [j18]Michael K. Ng, Wilson C. Kwan:
Comments on "Least squares restoration of multichannel images". IEEE Trans. Signal Process. 49(11): 2885 (2001) - 2000
- [j17]Michael K. Ng:
K-Means-Type Algorithms on Distributed Memory Computer. Int. J. High Speed Comput. 11(2): 75-91 (2000) - [j16]Michael K. Ng:
Clustering methods for printed circuit board insertion problems. J. Oper. Res. Soc. 51(10): 1205-1211 (2000) - [j15]Michael K. Ng:
A note on constrained k-means algorithms. Pattern Recognit. 33(3): 515-519 (2000) - [j14]Raymond H. Chan, Andy M. Yip, Michael K. Ng:
The Best Circulant Preconditioners for Hermitian Toeplitz Systems. SIAM J. Numer. Anal. 38(3): 876-896 (2000) - [j13]Michael K. Ng:
Preconditioned Lanczos Methods for the Minimum Eigenvalue of a Symmetric Positive Definite Toeplitz Matrix. SIAM J. Sci. Comput. 21(6): 1973-1986 (2000) - [j12]Michael K. Ng, Robert J. Plemmons, Sanzheng Qiao:
Regularization of RIF blind image deconvolution. IEEE Trans. Image Process. 9(6): 1130-1134 (2000) - 1999
- [j11]Michael K. Ng, Zhexue Huang:
Data-mining massive time series astronomical data: challenges, problems and solutions. Inf. Softw. Technol. 41(9): 545-556 (1999) - [j10]Michael K. Ng:
A note on policy algorithms for discounted Markov decision problems. Oper. Res. Lett. 25(4): 195-197 (1999) - [j9]Tony F. Chan, Michael K. Ng:
Galerkin Projection Methods for Solving Multiple Linear Systems. SIAM J. Sci. Comput. 21(3): 836-850 (1999) - [j8]Michael K. Ng, Raymond H. Chan, Wun-Cheung Tang:
A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions. SIAM J. Sci. Comput. 21(3): 851-866 (1999) - [j7]Zhexue Huang, Michael K. Ng:
A fuzzy k-modes algorithm for clustering categorical data. IEEE Trans. Fuzzy Syst. 7(4): 446-452 (1999) - 1998
- [j6]Michael K. Ng:
Heuristics approach to printed circuit board insertion problem. J. Oper. Res. Soc. 49(10): 1051-1059 (1998) - 1996
- [j5]Raymond H. Chan, Michael K. Ng, Robert J. Plemmons:
Generalization of Strang's Preconditioner with Applications to Toeplitz Least Squares Problems. Numer. Linear Algebra Appl. 3(1): 45-64 (1996) - [j4]Raymond H. Chan, Michael K. Ng:
Conjugate Gradient Methods for Toeplitz Systems. SIAM Rev. 38(3): 427-482 (1996) - [j3]Michael K. Ng, Robert J. Plemmons:
Fast Recursive Least Squares Adaptive Filtering by Fast Fourier Transform-Based Conjugate Gradient Iterations. SIAM J. Sci. Comput. 17(4): 920-941 (1996) - 1994
- [j2]Michael K. Ng, Raymond H. Chan:
Fastiterative methods for least squares estimations. Numer. Algorithms 6(2): 353-378 (1994) - 1993
- [j1]Raymond H. Chan, Michael Kwok-Po Ng:
Fast Iterative Solvers for Toeplitz-Plus-Band Systems. SIAM J. Sci. Comput. 14(5): 1013-1019 (1993)
Conference and Workshop Papers
- 2024
- [c101]Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai, Michael Kwok-Po Ng:
An Optimal Transport View for Subspace Clustering and Spectral Clustering. AAAI 2024: 16281-16289 - [c100]Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng:
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. AAAI 2024: 16290-16298 - 2023
- [c99]Shiyong Zhu, Jianquan Lu, Jinde Cao, Lin Lin, James Lam, Michael Ng, Shun-Uchi Azuma:
Undetectable Attacks on Boolean Networks. CDC 2023: 1698-1703 - [c98]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 - [c97]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 - [c96]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 - [c95]Yihang Gao, Yiqi Gu, Michael Ng:
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks. ICML 2023: 10676-10707 - [c94]Lin Lin, James Lam, Peng Shi, Michael K. Ng, Hak-Keung Lam:
On Reinforcement Learning in Stabilizability of Probabilistic Boolean Control Networks. ICMLC 2023: 295-302 - [c93]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 - [c92]Junren Chen, Jonathan Scarlett, Michael Ng, Zhaoqiang Liu:
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing. NeurIPS 2023 - 2022
- [c91]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 - [c90]Yihang Gao, Man-Chung Yue, Michael Ng:
Approximate Secular Equations for the Cubic Regularization Subproblem. NeurIPS 2022 - [c89]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 - 2020
- [c88]Mingjie Zhou, Michael Ng, Zixin Cai, Ka Chun Cheung:
Self-Attention-Based Fully-Inception Networks for Continuous Sign Language Recognition. ECAI 2020: 2832-2839 - [c87]Lina Zhuang, Michael K. Ng:
Cross-track Illumination Correction For Hyperspectral Pushbroom Sensors Using Total Variation and Sparsity Regularization. SAM 2020: 1-5 - [c86]Zhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng:
MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product. IJCAI 2020: 1258-1264 - [c85]Jingwen Wang, Yuguang Yan, Yubing Zhang, Guiping Cao, Ming Yang, Michael K. Ng:
Deep Reinforcement Active Learning for Medical Image Classification. MICCAI (1) 2020: 33-42 - 2019
- [c84]Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu:
Oversampling for Imbalanced Data via Optimal Transport. AAAI 2019: 5605-5612 - [c83]Miaomiao Cheng, Liping Jing, Michael Kwok-Po Ng:
A Weighted Tensor Factorization Method for Low-Rank Tensor Completion. BigMM 2019: 30-38 - [c82]Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael Kwok-Po Ng:
Constrained Low-Tubal-Rank Tensor Recovery for Hyperspectral Images Mixed Noise Removal by Bilateral Random Projections. IGARSS 2019: 1939-1942 - [c81]Qiang Jiang, Michael Ng:
Robust Low-Tubal-Rank Tensor Completion via Convex Optimization. IJCAI 2019: 2649-2655 - 2018
- [c80]Philip Lam, Lili Wang, Henry Y. T. Ngan, Nelson H. C. Yung, Michael K. Ng:
Outlier Detection in Large-Scale Traffic Data by Regression Analysis. IRIACV 2018: 1-6 - [c79]Sophia W. T. T. Liu, Henry Y. T. Ngan, Michael K. Ng, Steven J. Simske:
Accumulated Relative Density Outlier Detection For Large Scale Traffic Data. IRIACV 2018: 1-10 - [c78]JunJun Pan, Michael K. Ng, Xiongjun Zhang:
Structured Convex Optimization Method for Orthogonal Nonnegative Matrix Factorization. ICPR 2018: 459-464 - 2017
- [c77]Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen:
Tensor Based Relations Ranking for Multi-relational Collective Classification. ICDM 2017: 901-906 - [c76]Yancong Wei, Qiangqiang Yuan, Xiangchao Meng, Huanfeng Shen, Liangpei Zhang, Michael Kwok-Po Ng:
Multi-scale-and-depth convolutional neural network for remote sensed imagery pan-sharpening. IGARSS 2017: 3413-3416 - [c75]Qiangqiang Yuan, Michael K. Ng, Huanfeng Shen, Liangpei Zhang, Jie Li:
Miss data reconstruction in remote sensing images with a double weighted tensor low rank model. IGARSS 2017: 4036-4039 - [c74]Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu:
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. IJCAI 2017: 3252-3258 - 2015
- [c73]Liping Jing, Liu Yang, Jian Yu, Michael K. Ng:
Semi-supervised low-rank mapping learning for multi-label classification. CVPR 2015: 1483-1491 - 2014
- [c72]Ben Tan, Erheng Zhong, Michael K. Ng, Qiang Yang:
Mixed-Transfer: Transfer Learning over Mixed Graphs. SDM 2014: 208-216 - 2013
- [c71]Motong Qiao, Wei Wang, Michael K. Ng:
A Variational Method for Expanding the Bit-Depth of Low Contrast Image. EMMCVPR 2013: 54-65 - [c70]Chenyang Shen, Liping Jing, Michael K. Ng:
Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm. EMMCVPR 2013: 294-306 - 2012
- [c69]Xutao Li, Yunming Ye, Qingyao Wu, Michael K. Ng:
MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension. BIBM 2012: 1-6 - [c68]Hongmin Cai, Michael Kwok-Po Ng:
Optimal Combination of Feature Weight Learning and Classification Based on Local Approximation. ICDKE 2012: 86-94 - [c67]Yang Liu, Jin Zhou, Zhi-Ping Liu, Luonan Chen, Michael K. Ng:
Construction and analysis of genome-wide SNP networks. ISB 2012: 327-332 - [c66]Hongmin Cai, Michael K. P. Ng:
Feature Weighting by RELIEF Based on Local Hyperplane Approximation. PAKDD (2) 2012: 335-346 - [c65]Xutao Li, Michael K. Ng, Yunming Ye:
HAR: Hub, Authority and Relevance Scores in Multi-Relational Data for Query Search. SDM 2012: 141-152 - 2011
- [c64]Qingyao Wu, Yunming Ye, Yang Liu, Michael K. Ng:
Stratified Random Forest for Genome-wide Association Study. BIBM 2011: 10-15 - [c63]Michael Kwok-Po Ng, Xutao Li, Yunming Ye:
MultiRank: co-ranking for objects and relations in multi-relational data. KDD 2011: 1217-1225 - [c62]Wai Lam Fong, Michael K. Ng:
On selection of spatial-varying regularization parameters in total variation image restoration. nDS 2011: 1-5 - 2010
- [c61]Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou:
Multi-Instance Dimensionality Reduction. AAAI 2010: 587-592 - [c60]Yang Liu, Michael K. Ng, Jin Zhou:
SNP specific extraction and analysis using shrunken dissimilarity measure. BCB 2010: 378-381 - [c59]Yang Liu, Yiu-Fai Lee, Michael K. Ng:
Classification of genome-wide copy number variations and their associated SNP and gene networks analysis. BIBM 2010: 9-12 - [c58]Bruno Amizic, S. Derin Babacan, Michael K. Ng, Rafael Molina, Aggelos K. Katsaggelos:
Fast total variation image restoration with parameter estimation using bayesian inference. ICASSP 2010: 770-773 - [c57]Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang:
Exploiting Word Cluster Information for Unsupervised Feature Selection. PRICAI 2010: 292-303 - [c56]Fang Li, Michael K. Ng, Robert J. Plemmons, Sudhakar Prasad, Qiang Zhang:
Hyperspectral image segmentation, deblurring, and spectral analysis for material identification. Visual Information Processing 2010: 770103 - 2009
- [c55]Zhi-Hua Zhou, Michael K. Ng, Qiao-Qiao She, Yuan Jiang:
Budget Semi-supervised Learning. PAKDD 2009: 588-595 - [c54]Andy C. Yau, Xue-Cheng Tai, Michael K. Ng:
L0-Norm and Total Variation for Wavelet Inpainting. SSVM 2009: 539-551 - 2008
- [c53]Michael Ng:
Clustering Algorithms with Automatic Selection of Cluster Number. GrC 2008: 11 - 2007
- [c52]Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K. Ng, Xiaohua Zhou:
A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering. DASFAA 2007: 115-126 - [c51]You-Wei Wen, Michael K. Ng, Wai-Ki Ching:
CIDER: Corrected Inverse-Denoising Filter for Image Restoration. EMMCVPR 2007: 112-126 - [c50]Xiaohua Hu, Fang-Xiang Wu, Michael K. Ng, Bahrad A. Sokhansanj:
Mining and Dynamic Simulation of Sub-Networks from Large Biomolecular Networks. IC-AI 2007: 806-813 - 2006
- [c49]Tatsuya Akutsu, Morihiro Hayashida, Wai-Ki Ching, Michael K. Ng:
On the Complexity of Finding Control Strategies for Boolean Networks. APBC 2006: 99-108 - [c48]Michael K. Ng:
A Recursive Method for Solving Haplotype Frequencies in Multiple Loci Linkage Analysis. APBC 2006: 129-138 - [c47]Wai-San Chan, Edmund Y. Lam, Michael K. Ng:
Investigation of Computational Compound-Eye Imaging System With Super-Resolution Reconstruction. ICASSP (4) 2006: 1177-1180 - [c46]Michael K. Ng, Mark Junjie Li, Sio Iong Ao, Pak Chung Sham, Yiu-ming Cheung, Joshua Zhexue Huang:
Clustering of SNP Data with Application to Genomics. ICDM Workshops 2006: 158-162 - [c45]Kevin Y. Yip, Michael K. Ng, David W. Cheung:
Input Validation for Semi-supervised Clustering. ICDM Workshops 2006: 479-483 - [c44]Wai-San Chan, Edmund Y. Lam, Michael K. Ng:
Extending the Depth of Field in a Compound-Eye Imaging System with Super-Resolution Reconstruction. ICPR (3) 2006: 623-626 - [c43]You-Wei Wen, Wai-Ki Ching, Michael K. Ng:
Fast solvers for queueing systems with negative customers. VALUETOOLS 2006: 13 - 2005
- [c42]Shuqin Zhang, Michael K. Ng, Wai-Ki Ching, Tatsuya Akutsu:
A linear control model for gene intervention in a genetic regulatory network. GrC 2005: 354-358 - [c41]Haoying Fu, Michael K. Ng, Mila Nikolova, Jesse L. Barlow, Wai-Ki Ching:
Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration. ICCSA (4) 2005: 843-851 - [c40]Kevin Y. Yip, David W. Cheung, Michael K. Ng:
On Discovery of Extremely Low-Dimensional Clusters using Semi-Supervised Projected Clustering. ICDE 2005: 329-340 - [c39]Lin Cheung, Kevin Y. Yip, David W. Cheung, Ben Kao, Michael K. Ng:
On Mining Micro-array data by Order-Preserving Submatrix. ICDE Workshops 2005: 1153 - [c38]Andy C. Yau, Nirmal K. Bose, Michael Kwok-Po Ng:
Super-resolution image restoration from blurred observations. ISCAS (6) 2005: 6296-6299 - [c37]Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang:
Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm. PAKDD 2005: 802-812 - [c36]Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang:
On the Performance of Feature Weighting K-Means for Text Subspace Clustering. WAIM 2005: 502-512 - 2004
- [c35]Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang:
An Efficient Multidimensional Data Model for Web Usage Mining. APWeb 2004: 373-383 - [c34]Kevin Y. Yip, David W. Cheung, Michael K. Ng, Kei-Hoi Cheung:
Identifying Projected Clusters from Gene Expression Profiles. BIBE 2004: 259-266 - [c33]Edmund Y. Lam, Michael K. Ng:
Restoration of images with optical aberrations and quantization in a transform domain. Computational Imaging 2004: 93-100 - [c32]Edmond HaoCun Wu, Michael K. Ng, Andy M. Yip, Tony F. Chan:
Discretization of Multidimensional Web Data for Informative Dense Regions Discovery. CIS 2004: 718-724 - [c31]Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang:
On Improving Website Connectivity by Using Web-Log Data Streams. DASFAA 2004: 352-364 - [c30]Wai-Ki Ching, Eric S. Fung, Michael K. Ng:
Building Genetic Networks for Gene Expression Patterns. IDEAL 2004: 17-24 - [c29]Andy M. Yip, Edmond HaoCun Wu, Michael K. Ng, Tony F. Chan:
Unsupervised Dense Regions Discovery in DNA Microarray Data. IDEAL 2004: 71-77 - [c28]Edmond HaoCun Wu, Michael K. Ng, Andy M. Yip, Tony F. Chan:
A Clustering Model for Mining Evolving Web User Patterns in Data Stream Environment. IDEAL 2004: 565-571 - [c27]Liping Jing, Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong:
A Feature Weighting Approach to Building Classification Models by Interactive Clustering. MDAI 2004: 284-294 - [c26]Andy M. Yip, Edmond HaoCun Wu, Michael K. Ng, Tony F. Chan:
An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams. PAKDD 2004: 116-120 - [c25]Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Michael K. Ng:
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models. PAKDD 2004: 549-558 - 2003
- [c24]Henry Y. T. Ngan, Grantham K. H. Pang, S. P. Yung, Michael K. Ng:
Defect Detection on Patterned Jacquard Fabric. AIPR 2003: 163-168 - [c23]Jessica K. Ting, Michael K. Ng, Hongqiang Rong, Joshua Zhexue Huang:
Statistical models for time sequences data mining. CIFEr 2003: 347-354 - [c22]Wai-Ki Ching, Michael K. Ng, Wai-On Yuen:
A Direct Method for Block-Toeplitz Systems with Applications to Re-manufacturing Systems. ICCSA (1) 2003: 912-920 - [c21]Michael Ng:
A Parallel Tabu Search Heuristic for Clustering Data Sets. ICPP Workshops 2003: 230-235 - [c20]Wai-Ki Ching, Eric S. Fung, Michael K. Ng:
Higher-Order Hidden Markov Models with Applications to DNA Sequences. IDEAL 2003: 535-539 - [c19]Kevin Y. Yip, David W. Cheung, Michael K. Ng:
A highly-usable projected clustering algorithm for gene expression profiles. BIOKDD 2003: 41-48 - [c18]Pierre Kornprobst, Ronald R. Peeters, Mila Nikolova, Rachid Deriche, Michael Kwok-Po Ng, Paul Van Hecke:
A Superresolution Framework for fMRI Sequences and Its Impact on Resulting Activation Maps. MICCAI (2) 2003: 117-125 - [c17]Edmond HaoCun Wu, Michael K. Ng:
A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules. PAKDD 2003: 178-190 - 2002
- [c16]Michael K. Ng, Mila Nikolova:
Comparison of the main forms of half-quadratic regularization. ICIP (1) 2002: 349-352 - [c15]Michael K. P. Ng, King Fung Ho, Vincent K. W. Cheng, Christopher D. Beling, Chat Ming Woo:
Parallel Image Processing Algorithms For Coincidence Doppler Broadening Spectra. ICPP Workshops 2002: 368-374 - [c14]Michael K. Ng, Joshua Zhexue Huang:
M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining. PAKDD 2002: 224-236 - 2001
- [c13]Zhexue Huang, Michael K. Ng, David Wai-Lok Cheung:
An Empirical Study on the Visual Cluster Validation Method with Fastmap. DASFAA 2001: 84-91 - [c12]Mila Nikolova, Michael K. Ng:
Fast image reconstruction algorithms combining half-quadratic regularization and preconditioning. ICIP (1) 2001: 277-280 - [c11]Joshua Zhexue Huang, Michael K. Ng, Wai-Ki Ching, Joe Ng, David Wai-Lok Cheung:
A Cube Model and Cluster Analysis for Web Access Sessions. WEBKDD 2001: 48-67 - [c10]Jeffrey Xu Yu, Michael K. Ng, Joshua Zhexue Huang:
Patterns Discovery Based on Time-Series Decomposition. PAKDD 2001: 336-347 - 2000
- [c9]Michael K. Ng:
An efficient parallel algorithm for high resolution color image reconstruction. ICPADS Workshops 2000: 547-552 - [c8]Zhexue Huang, Michael K. Ng, Tao Lin, David Wai-Lok Cheung:
An Interactive Approach to Building Classification Models by Clustering and Cluster Validation. IDEAL 2000: 23-28 - [c7]Joyce C. Wong, Michael K. Ng:
A Tabu Search Based Algorithm for Clustering Categorical Data Sets. IDEAL 2000: 559-564 - [c6]Daniele Bertaccini, Michael K. Ng:
Skew-Circulant Preconditioners for Systems of LMF-Based ODE Codes. NAA 2000: 93-101 - [c5]Michael K. Ng, Wilson C. Kwan, Raymond H. Chan:
A Fast Algorithm for High-Resolution Color Image Reconstruction with Multisensors. NAA 2000: 615-627 - 1999
- [c4]Wilson C. Kwan, Michael K. Ng:
Iterative Methods for Phase Diversity-Based Blind Deconvolution in Atmospheric Optics. ICIP (1) 1999: 198-200 - [c3]Michael K. Ng, Wilson C. Kwan:
Map Regularized Image Reconstruction with Multisensors. ICIP (3) 1999: 464-468 - 1998
- [c2]Michael K. Ng, Zhexue Huang, Markus Hegland:
Data-Mining Massive Time Series Astronomical Data Sets - A Case Study. PAKDD 1998: 401-402 - 1995
- [c1]Michael K. Ng:
Nonlinear image restoration using FFT-based conjugate gradient methods. ICIP 1995: 41-44
Parts in Books or Collections
- 2010
- [p3]Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K. Ng, Jiali Xia, Xiaohua Zhou:
Medical Document Clustering Using Ontology-Based Term Similarity Measures. Strategic Advancements in Utilizing Data Mining and Warehousing Technologies 2010: 121-132 - 2007
- [p2]Zhong-Zhi Bai, Michael K. Ng, Gene H. Golub:
Hermitian and Skew-Hermitian splitting methods for non-Hermitian positive definite linear systems. Milestones in Matrix Computation 2007: 102-128 - [p1]Edmond HaoCun Wu, Michael K. Ng:
Developing a Knowledge-based Intelligent Services System in Sports Websites. E-Service Intelligence 2007: 535-554
Editorship
- 2010
- [e1]Taesung Park, Stephen Kwok-Wing Tsui, Luonan Chen, Michael K. Ng, Limsoon Wong, Xiaohua Hu:
2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010, Hong Kong, China, December 18-21, 2010, Proceedings. IEEE Computer Society 2010, ISBN 978-1-4244-8306-8 [contents]
Reference Works
- 2009
- [r1]Liping Jing, Michael K. Ng, Joshua Zhexue Huang:
Soft Subspace Clustering for High-Dimensional Data. Encyclopedia of Data Warehousing and Mining 2009: 1810-1814
Informal and Other Publications
- 2024
- [i64]Junren Chen, Zhaoqiang Liu, Meng Ding, Michael K. Ng:
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors. CoRR abs/2401.08402 (2024) - [i63]Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael K. Ng, Zhenguo Li, Zhaoqiang Liu:
On the Expressive Power of a Variant of the Looped Transformer. CoRR abs/2402.13572 (2024) - [i62]Chengyang Liu, Michael K. Ng:
A One-step Image Retargeing Algorithm Based on Conformal Energy. CoRR abs/2402.18074 (2024) - [i61]Zhantao Ma, Michael K. Ng:
Multispectral Image Restoration by Generalized Opponent Transformation Total Variation. CoRR abs/2403.12770 (2024) - [i60]Xue-Lei Lin, Michael K. Ng:
A τ-preconditioner for space fractional diffusion equation with non-separable variable coefficients. CoRR abs/2404.11390 (2024) - 2023
- [i59]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) - [i58]Junren Chen, Yueqi Wang, Michael Kwok-Po Ng:
Quantized Low-Rank Multivariate Regression with Random Dithering. CoRR abs/2302.11197 (2023) - [i57]Michael Kwok-Po Ng, Hanrui Wu, Andy M. Yip:
Stability and Generalization of Hypergraph Collaborative Networks. CoRR abs/2308.02347 (2023) - [i56]Junren Chen, Michael K. Ng:
A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate. CoRR abs/2308.16059 (2023) - [i55]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) - [i54]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
- [i53]Junren Chen, Michael K. Ng:
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss. CoRR abs/2202.02063 (2022) - [i52]Junren Chen, Cheng-Long Wang, Michael K. Ng, Di Wang:
High Dimensional Statistical Estimation under One-bit Quantization. CoRR abs/2202.13157 (2022) - [i51]Yiqi Gu, Michael K. Ng:
Deep neural networks for solving extremely large linear systems. CoRR abs/2204.00313 (2022) - [i50]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) - [i49]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) - [i48]Junjun Pan, Michael K. Ng:
Separable Quaternion Matrix Factorization for Polarization Images. CoRR abs/2207.14039 (2022) - [i47]Xiongjun Zhang, Michael K. Ng:
Sparse Nonnegative Tucker Decomposition and Completion under Noisy Observations. CoRR abs/2208.08287 (2022) - [i46]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) - [i45]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) - [i44]Yihang Gao, Man-Chung Yue, Michael Kwok-Po Ng:
Approximate Secular Equations for the Cubic Regularization Subproblem. CoRR abs/2209.13268 (2022) - [i43]Yihang Gao, Michael Kwok-Po Ng:
A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization. CoRR abs/2210.05987 (2022) - [i42]Ningning Han, Juan Nie, Jian Lu, Michael K. Ng:
Stochastic Variance Reduced Gradient for affine rank minimization problem. CoRR abs/2211.02802 (2022) - [i41]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) - [i40]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) - [i39]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
- [i38]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 abs/2102.00363 (2021) - [i37]Xin Huang, Xue-Lei Lin, Michael K. Ng, Hai-Wei Sun:
Spectral analysis for preconditioning of multi-dimensional Riesz fractional diffusion equations. CoRR abs/2102.01371 (2021) - [i36]Yihang Gao, Michael K. Ng:
Approximation for Probability Distributions by Wasserstein GAN. CoRR abs/2103.10060 (2021) - [i35]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 abs/2105.14320 (2021) - [i34]Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng:
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing. CoRR abs/2107.07058 (2021) - [i33]Yiqi Gu, Michael K. Ng:
Deep Ritz method for the spectral fractional Laplacian equation using the Caffarelli-Silvestre extension. CoRR abs/2108.11592 (2021) - [i32]Yihang Gao, Michael K. Ng:
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks. CoRR abs/2108.13054 (2021) - [i31]Junjun Pan, Michael K. Ng:
Co-Separable Nonnegative Matrix Factorization. CoRR abs/2109.00749 (2021) - [i30]Lina Zhuang, Michael K. Ng:
FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal. CoRR abs/2109.08879 (2021) - [i29]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 abs/2111.12886 (2021) - [i28]Yiqi Gu, Michael K. Ng:
Deep adaptive basis Galerkin method for high-dimensional evolution equations with oscillatory solutions. CoRR abs/2112.14418 (2021) - 2020
- [i27]Weiwei Xu, Michael K. Ng:
Singular Vectors From Singular Values. CoRR abs/2002.00371 (2020) - [i26]Xue-Lei Lin, Michael K. Ng:
An all-at-once preconditioner for evolutionary partial differential equations. CoRR abs/2002.01108 (2020) - [i25]Rongjun Cao, Minghua Chen, Michael K. Ng, Yu-Jiang Wu:
Fast and High-order Accuracy Numerical Methods for Time-Dependent Nonlocal Problems in R2. CoRR abs/2002.03655 (2020) - [i24]Guang-Jing Song, Michael K. Ng:
Fast Alternating Projections on Manifolds Based on Tangent Spaces. CoRR abs/2003.10324 (2020) - [i23]Weiwei Xu, Michael K. Ng, Zheng-Jian Bai:
New Formulation and Computation for Generalized Singular Values of Grassman Matrix Pair. CoRR abs/2004.02180 (2020) - [i22]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 abs/2004.14273 (2020) - [i21]Xiongjun Zhang, Michael K. Ng:
Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations. CoRR abs/2007.10626 (2020) - [i20]Tai-Xiang Jiang, Michael K. Ng, Junjun Pan, Guang-Jing Song:
Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images. CoRR abs/2007.14137 (2020) - [i19]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 abs/2008.00748 (2020) - [i18]Guang-Jing Song, Michael K. Ng, Tai-Xiang Jiang:
Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix Approximation. CoRR abs/2009.03998 (2020) - [i17]Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng:
Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion. CoRR abs/2009.12507 (2020) - [i16]Zhigang Jia, Qiyu Jin, Michael K. Ng, Xile Zhao:
Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Images and Videos Inpainting. CoRR abs/2011.08675 (2020) - [i15]Jing Guo, Shuping Wang, Chen Luo, Qiyu Jin, Michael Kwok-Po Ng:
Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches. CoRR abs/2011.10290 (2020) - [i14]Guang-Jing Song, Michael K. Ng, Xiongjun Zhang:
On O( max {n1, n2} log ( max {n1, n2} n3)) Sample Entries for n1 × n2 × n3 Tensor Completion via Unitary Transformation. CoRR abs/2012.08784 (2020) - [i13]Guang-Jing Song, Weiyang Ding, Michael K. Ng:
Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices. CoRR abs/2012.15138 (2020) - 2019
- [i12]Wen-Hao Xu, Xi-Le Zhao, Michael Kwok-Po Ng:
A Fast Algorithm for Cosine Transform Based Tensor Singular Value Decomposition. CoRR abs/1902.03070 (2019) - [i11]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 abs/1905.04449 (2019) - [i10]Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael Kwok-Po Ng:
Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections. CoRR abs/1905.05941 (2019) - [i9]Ye Liu, JunJun Pan, Michael K. Ng:
Tucker Decomposition Network: Expressive Power and Comparison. CoRR abs/1905.09635 (2019) - [i8]Guang-Jing Song, Michael K. Ng, Xiongjun Zhang:
Robust Tensor Completion Using Transformed Tensor SVD. CoRR abs/1907.01113 (2019) - [i7]Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao, Ting-Zhu Huang:
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion. CoRR abs/1909.06982 (2019) - [i6]Jie Zhang, Yuping Duan, Yue Lu, Michael K. Ng, Huibin Chang:
Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal. CoRR abs/1910.08206 (2019) - [i5]Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, Hong Yan:
Orthogonal Nonnegative Tucker Decomposition. CoRR abs/1910.09979 (2019) - 2018
- [i4]Jin Zeng, Gene Cheung, Michael Ng, Jiahao Pang, Cheng Yang:
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model. CoRR abs/1803.07252 (2018) - 2017
- [i3]Jonathan Q. Jiang, Michael K. Ng:
Exact Tensor Completion from Sparsely Corrupted Observations via Convex Optimization. CoRR abs/1708.00601 (2017) - [i2]Jonathan Q. Jiang, Michael K. Ng:
Parallel Active Subspace Decomposition for Scalable and Efficient Tensor Robust Principal Component Analysis. CoRR abs/1712.09999 (2017) - 2015
- [i1]Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz:
Robust data assimilation using L1 and Huber norms. CoRR abs/1511.01593 (2015)
Coauthor Index
David Wai-Lok Cheung
aka: David W. Cheung
aka: David W. Cheung
Joshua Zhexue Huang
aka: Zhexue Huang
aka: Zhexue Huang
Xue-Lei Lin
aka: Xue-lei Lin
aka: Xue-lei Lin
JunJun Pan
aka: Junjun Pan
aka: Junjun Pan
Xi-Le Zhao
aka: Xile Zhao
aka: Xile Zhao
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