Michael K. Ng

发表

Hy-Demosaicing: Hyperspectral Blind Reconstruction From Spectral Subsampling

José M. Bioucas-Dias, Lina Zhuang, Michael K. Ng, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations

José M. Bioucas-Dias, Lina Zhuang, Xiyou Fu, 2021, IEEE Transactions on Geoscience and Remote Sensing.

FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal

Lina Zhuang, Michael K. Ng, Lina Zhuang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Hyperspectral Image Mixed Noise Removal Using Subspace Representation and Deep CNN Image Prior

Lina Zhuang, Michael K. Ng, Xiyou Fu, 2021, Remote. Sens..

Non-Local Robust Quaternion Matrix Completion for Color Images and Videos Inpainting

Michael K. Ng, Zhigang Jia, Qiyu Jin, 2020, 2011.08675.

Error Bound of Empirical 𝓁2 Risk Minimization for Noisy Standard and Generalized Phase Retrieval Problems

Michael K. Ng, Junren Chen, 2022, ArXiv.

Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss

Michael K. Ng, Junren Chen, 2022, ArXiv.

Error Bound of Empirical 𝓁2 Risk Minimization for Noisy Standard and Generalized Phase Retrieval Problems

Michael K. Ng, Junren Chen, 2022, ArXiv.

High Dimensional Statistical Estimation Under Uniformly Dithered One-Bit Quantization

Michael K. Ng, Cheng Wang, Junren Chen, 2022, IEEE Transactions on Information Theory.

Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss

Michael K. Ng, Junren Chen, 2022, SIAM Journal on Imaging Sciences.

Phase Retrieval of Quaternion Signal via Wirtinger Flow

Michael K. Ng, Junren Chen, 2022, 2210.14170.

Uniform Exact Reconstruction of Sparse Signals and Low-rank Matrices from Phase-Only Measurements

Michael K. Ng, Junren Chen, 2022, 2209.12824.

Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss

Michael K. Ng, Junren Chen, 2022, SIAM J. Imaging Sci..

Image colorization by using graph bi-Laplacian

Michael K. Ng, Fang Li, 2019, Advances in Computational Mathematics.

Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery

Michael K. Ng, Junren Chen, Di Wang, 2022, ArXiv.

Stability and Convergence Analysis of Finite Difference Schemes for Time-Dependent Space-Fractional Diffusion Equations with Variable Diffusion Coefficients

Michael K. Ng, Hai-wei Sun, Xue-lei Lin, 2017, Journal of Scientific Computing.

Quantized Low-Rank Multivariate Regression with Random Dithering

Michael K. Ng, Yueqi Wang, Junren Chen, 2023, ArXiv.

A nonlocal low rank model for poisson noise removal

You-Wei Wen, Michael K. Ng, Hongwei Li, 2021, Inverse Problems & Imaging.

Graph Spectral Image Processing

Enrico Magli, Michael K. Ng, Gene Cheung, 2018, Proceedings of the IEEE.

Nonlocal Self-Similarity-Based Hyperspectral Remote Sensing Image Denoising With 3-D Convolutional Neural Network

Michael K. Ng, Bing Zhang, Lianru Gao, 2022, IEEE Transactions on Geoscience and Remote Sensing.

3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model

Gene Cheung, Cheng Yang, Jin Zeng, 2018, IEEE Transactions on Image Processing.

Experimental Study on Generative Adversarial Network for Precipitation Nowcasting

Michael K. Ng, Xutao Li, Yunming Ye, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Cross-Track Illumination Correction for Hyperspectral Pushbroom Sensor Images Using Low-Rank and Sparse Representations

Michael K. Ng, Lina Zhuang, Yao Liu, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Analysis of the ratio of ℓ1 and ℓ2 norms for signal recovery with partial support information

Michael K. Ng, Wengu Chen, Huanmin Ge, 2023, Information and Inference: A Journal of the IMA.

Phase Retrieval of Quaternion Signal via Wirtinger Flow

Michael K. Ng, Junren Chen, 2022, IEEE Transactions on Signal Processing.

A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate

Michael K. Ng, Junren Chen, 2023, ArXiv.

Transfer Learning With Singular Value Decomposition of Multichannel Convolution Matrices

Michael K. Ng, S. See, T. S. A. Yeung, 2023, Neural Computation.

A Self-Supervised Deep Denoiser for Hyperspectral and Multispectral Image Fusion

Michael K. Ng, Lina Zhuang, Zhicheng Wang, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Eigenimage2Eigenimage (E2E): A Self-Supervised Deep Learning Network for Hyperspectral Image Denoising.

Michael K. Ng, Lina Zhuang, Zhicheng Wang, 2023, IEEE transactions on neural networks and learning systems.