Michael Ng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Nonnegative Matrix

Stochastic Processes

Top Venues

SIAM J. Matrix Anal. Appl.

Publications

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 (2024)
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 (2024)
Michael Ng, Hanrui Wu, Andy M. Yip
Stability and Generalization of Hypergraph Collaborative Networks. Mach. Intell. Res. 21 (1) (2024)
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 (2024)
Shiyong Zhu, Jianquan Lu, Jinde Cao, Lin Lin, James Lam, Michael Ng, Shun-Uchi Azuma
Undetectable Attacks on Boolean Networks. CDC (2023)
Junren Chen, Michael Ng
Signal Reconstruction from Phase-Only Measurements: Uniqueness Condition, Minimal Measurement Number and Beyond. SIAM J. Appl. Math. 83 (4) (2023)
Junren Chen, Jonathan Scarlett, Michael Ng, Zhaoqiang Liu
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing. NeurIPS (2023)
Junjun Pan, Michael Ng
Coseparable Nonnegative Matrix Factorization. SIAM J. Matrix Anal. Appl. 44 (3) (2023)
Yihang Gao, Yiqi Gu, Michael Ng
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks. ICML (2023)
Yihang Gao, Man-Chung Yue, Michael Ng
Approximate Secular Equations for the Cubic Regularization Subproblem. NeurIPS (2022)
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) (2022)
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) (2022)
You-Wei Wen, Mingchao Zhao, Michael Ng
Cartoon and texture decomposition for color image in opponent color space. Appl. Math. Comput. 414 (2022)
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)
Xue-lei Lin, Michael Ng
An All-at-Once Preconditioner for Evolutionary Partial Differential Equations. SIAM J. Sci. Comput. 43 (4) (2021)
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 (2020)
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 (2018)