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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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2020 – today
- 2025
[j429]Yu Guo
, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng:
Quaternion Nuclear Norm Minus Frobenius Norm Minimization for color image reconstruction. Pattern Recognit. 158: 110986 (2025)- 2024
- [j428]Hong Zhu, Xiaoxia Liu, Lin Huang, Zhaosong Lu, Jian Lu, Michael K. Ng:
Augmented Lagrangian method for tensor low-rank and sparsity models in multi-dimensional image recovery. Adv. Comput. Math. 50(4): 75 (2024) - [j427]Yujia Xie, Wengu Chen, Huanmin Ge, Michael K. Ng:
Deep image prior and weighted anisotropic-isotropic total variation regularization for solving linear inverse problems. Appl. Math. Comput. 482: 128952 (2024) - [j426]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) - [j425]Michael Ng, Hanrui Wu, Andy M. Yip:
Stability and Generalization of Hypergraph Collaborative Networks. Mach. Intell. Res. 21(1): 184-196 (2024) - [j424]Wei Liu, Pingping Zhang, Hongxing Qin, Xiaolin Huang, Jie Yang, Michael Ng:
Fast Global Image Smoothing via Quasi Weighted Least Squares. Int. J. Comput. Vis. 132(12): 6039-6068 (2024) - [j423]Hongzhi Tong, Michael Ng:
Spectral algorithms for learning with dependent observations. J. Comput. Appl. Math. 437: 115437 (2024) - [j422]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) - [j421]Weiyang Ding, Michael K. Ng, Wenxing Zhang:
A generalized alternating direction implicit method for consensus optimization: application to distributed sparse logistic regression. J. Glob. Optim. 90(3): 727-753 (2024) - [j420]Xue-Lei Lin, Michael K. Ng:
A τ-Preconditioner for Space Fractional Diffusion Equation with Non-separable Variable Coefficients. J. Sci. Comput. 100(1): 28 (2024) - [j419]Hanrui Wu, Yanxin Wu, Nuosi Li, Min Yang, Jia Zhang, Michael K. Ng, Jinyi Long:
High-order proximity and relation analysis for cross-network heterogeneous node classification. Mach. Learn. 113(9): 6247-6272 (2024) - [j418]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) - [j417]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) - [j416]Yongcheng Zong, Qiankun Zuo, Michael Kwok-Po Ng, Baiying Lei, Shuqiang Wang:
A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10389-10403 (2024) - [j415]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) - [j414]Hanrui Wu, Lei Tian, Yanxin Wu, Jia Zhang, Michael K. P. Ng, Jinyi Long:
Transferable graph auto-encoders for cross-network node classification. Pattern Recognit. 150: 110334 (2024) - [j413]Ningning Han, Juan Nie, Jian Lu, Michael K. P. Ng:
Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem. SIAM J. Imaging Sci. 17(2): 1118-1144 (2024) - [j412]Hong Zhu, Michael K. Ng:
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors. SIAM J. Imaging Sci. 17(3): 1795-1819 (2024) - [j411]Junren Chen, Zhaoqiang Liu, Meng Ding, Michael K. Ng:
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors. SIAM J. Imaging Sci. 17(3): 1909-1977 (2024) - [j410]Junjun Pan, Michael K. Ng:
Block-Diagonalization of Quaternion Circulant Matrices with Applications. SIAM J. Matrix Anal. Appl. 45(3): 1429-1454 (2024) - [j409]Yigong Zhang, Zhihui Tu, Jian Lu, Chen Xu, Michael K. Ng:
Cyclic tensor singular value decomposition with applications in low-rank high-order tensor recovery. Signal Process. 225: 109628 (2024) - [j408]Weijie Liang, Zhihui Tu, Jian Lu, Kai Tu, Michael K. Ng, Chen Xu:
Fixed-Point Convergence of Multi-Block PnP ADMM and Its Application to Hyperspectral Image Restoration. IEEE Trans. Computational Imaging 10: 1571-1587 (2024) - [j407]Guangning Xu, Michael K. Ng, Yunming Ye, Xutao Li, Ge Song, Bowen Zhang, Zhichao Huang:
TLS-MWP: A Tensor-Based Long- and Short-Range Convolution for Multiple Weather Prediction. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8382-8397 (2024) - [j406]Zhu Han, Ce Zhang, Lianru Gao, Zhiqiang Zeng, Michael K. Ng, Bing Zhang, Jocelyn Chanussot:
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j405]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) - [j404]Guangning Xu, Michael K. Ng, Yunming Ye, Bowen Zhang:
FHDTIE: Fine-Grained Heterogeneous Data Fusion for Tropical Cyclone Intensity Estimation. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j403]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) - [j402]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) - [j401]Fengcheng Lu, Michael Kwok-Po Ng:
FastHGNN: A New Sampling Technique for Learning with Hypergraph Neural Networks. ACM Trans. Knowl. Discov. Data 18(8): 184:1-184:26 (2024) - [j400]Huafeng Liu, Liping Jing, Jian Yu, Michael K. Ng:
Learning Hierarchical Preferences for Recommendation With Mixture Intention Neural Stochastic Processes. IEEE Trans. Knowl. Data Eng. 36(7): 3237-3251 (2024) - [j399]Lina Zhuang, Michael Ng, Lianru Gao, Joseph Michalski, Zhicheng Wang:
Eigenimage2Eigenimage (E2E): A Self-Supervised Deep Learning Network for Hyperspectral Image Denoising. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16262-16276 (2024) - [j398]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) - [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 - [i74]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) - [i73]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) - [i72]Chengyang Liu, Michael K. Ng:
A One-step Image Retargeing Algorithm Based on Conformal Energy. CoRR abs/2402.18074 (2024) - [i71]Zhantao Ma, Michael K. Ng:
Multispectral Image Restoration by Generalized Opponent Transformation Total Variation. CoRR abs/2403.12770 (2024) - [i70]Xue-Lei Lin, Michael K. Ng:
A τ-preconditioner for space fractional diffusion equation with non-separable variable coefficients. CoRR abs/2404.11390 (2024) - [i69]Zhigang Jia, Yuelian Xiang, Meixiang Zhao, Tingting Wu, Michael K. Ng:
A New Cross-Space Total Variation Regularization Model for Color Image Restoration with Quaternion Blur Operator. CoRR abs/2405.12114 (2024) - [i68]Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li:
CAPE: Context-Adaptive Positional Encoding for Length Extrapolation. CoRR abs/2405.14722 (2024) - [i67]Xiaoling Zhou, Ou Wu, Michael K. Ng, Hao Jiang:
Data Valuation by Leveraging Global and Local Statistical Information. CoRR abs/2405.17464 (2024) - [i66]Ting Wang, Zipei Yan, Jizhou Li, Xile Zhao, Chao Wang, Michael Ng:
Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representations. CoRR abs/2405.17818 (2024) - [i65]Yihang Dong, Xuhang Chen, Yanyan Shen, Michael Kwok-Po Ng, Tao Qian, Shuqiang Wang:
Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition. CoRR abs/2405.19373 (2024) - [i64]Jifei Miao, Junjun Pan, Michael K. Ng:
Non-Negative Reduced Biquaternion Matrix Factorization with Applications in Color Face Recognition. CoRR abs/2408.05582 (2024) - [i63]Junren Chen, Zhaoqiang Liu, Michael Kwok-Po Ng, Jonathan Scarlett:
Robust Instance Optimal Phase-Only Compressed Sensing. CoRR abs/2408.06275 (2024) - [i62]Yu Guo, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng:
Quaternion Nuclear Norm minus Frobenius Norm Minimization for color image reconstruction. CoRR abs/2409.07797 (2024) - [i61]Chuanyang Zheng, Yihang Gao, Han Shi, Jing Xiong, Jiankai Sun, Jingyao Li, Minbin Huang, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li:
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation. CoRR abs/2410.04798 (2024) - [i60]Sijia Xia, Michael K. Ng, Xiongjun Zhang:
Low-Rank Tensor Learning by Generalized Nonconvex Regularization. CoRR abs/2410.18402 (2024) - 2023
- [j397]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) - [j396]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) - [j395]Yiqi Gu, Michael K. Ng:
Quadrature rule based discovery of dynamics by data-driven denoising. J. Comput. Phys. 486: 112102 (2023) - [j394]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) - [j393]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) - [j392]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) - [j391]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) - [j390]Ye Liu, Junjun Pan, Michael K. P. Ng:
Tucker network: Expressive power and comparison. Neural Networks 160: 63-83 (2023) - [j389]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) - [j388]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) - [j387]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) - [j386]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) - [j385]Junjun Pan, Michael K. Ng:
Separable Quaternion Matrix Factorization for Polarization Images. SIAM J. Imaging Sci. 16(3): 1281-1307 (2023) - [j384]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) - [j383]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) - [j382]Junjun Pan, Michael Ng:
Coseparable Nonnegative Matrix Factorization. SIAM J. Matrix Anal. Appl. 44(3): 1393-1420 (2023) - [j381]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) - [j380]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) - [j379]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) - [j378]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) - [j377]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) - [j376]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) - [j375]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) - [j374]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) - [j373]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) - [j372]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) - [j371]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) - [j370]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) - [j369]Junren Chen, Michael K. P. Ng:
Phase Retrieval of Quaternion Signal via Wirtinger Flow. IEEE Trans. Signal Process. 71: 2863-2878 (2023) - [j368]Junren Chen, Yueqi Wang, Michael K. Ng:
Quantized Low-Rank Multivariate Regression With Random Dithering. IEEE Trans. Signal Process. 71: 3913-3928 (2023) - [c99]Shiyong Zhu, Jianquan Lu, Jinde Cao, Lin Lin, James Lam, Michael Ng, Shun-ichi 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 - [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
- [j367]You-Wei Wen, Mingchao Zhao, Michael Ng:
Cartoon and texture decomposition for color image in opponent color space. Appl. Math. Comput. 414: 126654 (2022) - [j366]Yihang Gao, Michael K. Ng:
Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks. J. Comput. Phys. 463: 111270 (2022) - [j365]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) - [j364]Ye Liu, Michael K. Ng:
Deep neural network compression by Tucker decomposition with nonlinear response. Knowl. Based Syst. 241: 108171 (2022) - [j363]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) - [j362]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) - [j361]Xiongjun Zhang, Michael K. Ng:
Robust tensor train component analysis. Numer. Linear Algebra Appl. 29(1) (2022) - [j360]Xiongjun Zhang, Michael K. Ng:
Low Rank Tensor Completion With Poisson Observations. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4239-4251 (2022) - [j359]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) - [j358]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) - [j357]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) - [j356]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) - [j355]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) - [j354]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) - [j353]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) - [j352]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) - [j351]