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Professor Michael Ng
Chair Professor
Department of Mathematics
michael.ng@hku.hk 2859 2260
Room 407, Run Run Shaw Building, Department of Mathematics, HKU
Key expertise
Applied and Computational Mathematics, Artificial Intelligence and Machine
Learning
About me

https://hkumath.hku.hk/~mng/

Selected Publications
  • Tai-Xiang Jiang, Michael K. Ng, Junjun Pan, and Guang-Jing Song. “Nonnegative low rank tensor approximations with multidimensional image applications.” Numerische Mathematik 153(1): 141-170, (2023).
  • Yihang Gao, and Michael K. Ng. “Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks.” J. Comput. Phys. 463: 111270, (2022).
  • Xiongjun Zhang, and Michael K. Ng. “Low Rank Tensor Completion With Poisson Observations.” IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4239-4251, (2022).
  • Jing Guo, Yu Guo, Qiyu Jin, Michael K. Ng, and Shuping Wang. “Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising.” SIAM J. Imaging Sci. 15(4): 1601-1622, (2022).
  • Yiqi Gu, and 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).
  • Yiqi Gu, and Michael K. Ng. “Deep Adaptive Basis Galerkin Method for High-Dimensional Evolution Equations With Oscillatory Solutions.” SIAM J. Sci. Comput. 44(5): 3130, (2022).
  • Zhicheng Wang, Michael K. Ng, Lina Zhuang, Lianru Gao, and Bing Zhang. “Nonlocal Self-Similarity-Based Hyperspectral Remote Sensing Image Denoising With 3-D Convolutional Neural Network.” IEEE Transactions on Geoscience and Remote Sensing 60: 1-17, (2022).
  • Hanrui Wu, and 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).
  • Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, and Michael K. Ng. “Transferable Feature Selection for Unsupervised Domain Adaptation.” IEEE Trans. Knowl. Data Eng. 34(11): 5536-5551, (2022).
  • Hanrui Wu, Qingyao Wu, and Michael K. Ng. “Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation.” ACM Trans. Inf. Syst. 40(1): 16:1-16:29, (2022).
 
Research Interests
Scientific Computing; Data and Imaging Sciences; Machine Learning