Michael K. Ng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 75

Top Topics

Domain Adaptation

Total Variation

Top Venues

SIAM J. Imaging Sci.

IEEE Trans. Knowl. Data Eng.

IEEE Trans. Neural Networks Learn. Syst.

Publications

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 (2024)
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 (2024)
Hanrui Wu, Nuosi Li, Jia Zhang, Sentao Chen, Michael K. Ng, Jinyi Long
Collaborative contrastive learning for hypergraph node classification. Pattern Recognit. 146 (2024)
Xiaoling Zhou, Ou Wu, Michael K. Ng, Hao Jiang
Data Valuation by Leveraging Global and Local Statistical Information. CoRR (2024)
Junren Chen, Zhaoqiang Liu, Meng Ding, Michael K. Ng
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors. CoRR (2024)
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) (2024)
Xue-Lei Lin, Michael K. Ng
A τ-preconditioner for space fractional diffusion equation with non-separable variable coefficients. CoRR (2024)
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) (2024)
Junjun Pan, Michael K. Ng
Block-Diagonalization of Quaternion Circulant Matrices with Applications. SIAM J. Matrix Anal. Appl. 45 (3) (2024)
Zhantao Ma, Michael K. Ng
Multispectral Image Restoration by Generalized Opponent Transformation Total Variation. CoRR (2024)
Chengyang Liu, Michael K. Ng
A One-step Image Retargeing Algorithm Based on Conformal Energy. CoRR (2024)
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 (2024)
Xue-Lei Lin, Michael K. Ng
A τ-Preconditioner for Space Fractional Diffusion Equation with Non-separable Variable Coefficients. J. Sci. Comput. 100 (1) (2024)
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) (2024)
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) (2024)
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 (2024)
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) (2024)
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) (2023)
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) (2023)
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) (2023)
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) (2023)
Yiqi Gu, Michael K. Ng
Quadrature rule based discovery of dynamics by data-driven denoising. J. Comput. Phys. 486 (2023)
Xutao Li, Michael K. Ng, Guangning Xu, Andy Yip
Multi-relational graph convolutional networks: Generalization guarantees and experiments. Neural Networks 161 (2023)
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 (2023)
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) (2023)
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) (2023)
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)
Yiqi Gu, Michael K. Ng
Deep Neural Networks for Solving Large Linear Systems Arising from High-Dimensional Problems. SIAM J. Sci. Comput. 45 (5) (2023)
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) (2023)
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) (2023)
Junren Chen, Shuai Huang, Michael K. Ng, Zhaoqiang Liu
Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors. CoRR (2023)
Junren Chen, Yueqi Wang, Michael K. Ng
Quantized Low-Rank Multivariate Regression With Random Dithering. IEEE Trans. Signal Process. 71 (2023)
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 (2023)
Junren Chen, Michael K. Ng
A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate. CoRR (2023)
Lina Zhuang, Michael K. Ng
FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
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) (2023)
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)
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) (2023)
Yihang Gao, Michael K. Ng, Mingjie Zhou
Approximating Probability Distributions by Using Wasserstein Generative Adversarial Networks. SIAM J. Math. Data Sci. 5 (4) (2023)
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)
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) (2023)
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) (2023)
Junjun Pan, Michael K. Ng
Separable Quaternion Matrix Factorization for Polarization Images. SIAM J. Imaging Sci. 16 (3) (2023)
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 (2023)
Xiongjun Zhang, Michael K. Ng
Sparse Nonnegative Tucker Decomposition and Completion under Noisy Observations. CoRR (2022)
Yihang Gao, Michael K. Ng
Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks. J. Comput. Phys. 463 (2022)
Yihang Gao, Huafeng Liu, Michael K. Ng, Mingjie Zhou
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization. CoRR (2022)
Junren Chen, Michael K. Ng
Risk Minimization for Noisy Standard and Generalized Phase Retrieval Problems. CoRR (2022)
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 (2022)
Yiqi Gu, Michael K. Ng
Deep Adaptive Basis Galerkin Method for High-Dimensional Evolution Equations With Oscillatory Solutions. SIAM J. Sci. Comput. 44 (5) (2022)
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) (2022)
Limei Huo, Wengu Chen, Huanmin Ge, Michael K. Ng
Stable Image Reconstruction Using Transformed Total Variation Minimization. SIAM J. Imaging Sci. 15 (3) (2022)
Xiongjun Zhang, Michael K. Ng
Sparse Nonnegative Tensor Factorization and Completion With Noisy Observations. IEEE Trans. Inf. Theory 68 (4) (2022)
Wei Wang, Yuming Yang, Michael K. Ng
A Spatial Color Compensation Model Using Saturation-Value Total Variation. SIAM J. Imaging Sci. 15 (3) (2022)
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) (2022)
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 (2022)
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 (2022)
Ningning Han, Juan Nie, Jian Lu, Michael K. Ng
Stochastic Variance Reduced Gradient for affine rank minimization problem. CoRR (2022)
Yihang Gao, Ka Chun Cheung, Michael K. Ng
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. CoRR (2022)
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) (2022)
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) (2022)
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 (2022)
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) (2022)
Yiqi Gu, Michael K. Ng
Deep neural networks for solving extremely large linear systems. CoRR (2022)
Xiongjun Zhang, Michael K. Ng
Low Rank Tensor Completion With Poisson Observations. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
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) (2022)
Yi-Si Luo, Xile Zhao, Zhemin Li, Michael K. Ng, Deyu Meng
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery. CoRR (2022)
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) (2022)
Yihang Gao, Ka Chun Cheung, Michael K. Ng
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. SSCI (2022)
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) (2022)
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) (2022)
Junjun Pan, Michael K. Ng
Separable Quaternion Matrix Factorization for Polarization Images. CoRR (2022)
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 (2022)
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)
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)