Current Research Interests

Applied and Computational Mathematics, Artificial Intelligence and Machine Learning, Data Science and Scientific Computing

 

 

Selected Publications

• T. Jiang, M. Ng, J. Pan, G. Song: Nonnegative low rank tensor approximations with multidimensional image applications. Numerische Mathematik 153(1): 141-170 (2023)
• H. Wu, Y. Yan, M. Ng: Hypergraph Collaborative Network on Vertices and Hyperedges. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3245-3258 (2023)
• J. Chen, M. Ng: Signal Reconstruction from Phase-Only Measurements: Uniqueness Condition, Minimal Measurement Number and Beyond. SIAM J. Appl. Math. 83(4): 1341-1365 (2023)
• Y. Liu, J. Pan, M. Ng: Tucker network: Expressive power and comparison. Neural Networks 160: 63-83 (2023)
• J. Pan, M. Ng: Separable Quaternion Matrix Factorization for Polarization Images. SIAM J. Imaging Sci. 16(3): 1281-1307 (2023)
• L. Zhuang, M. Ng, Y. 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)
• J. Chen, C. Wang, M. Ng, D. Wang: High Dimensional Statistical Estimation Under Uniformly Dithered One-Bit Quantization. IEEE Trans. Inf. Theory 69(8): 5151-5187 (2023)
• T. Jiang, X. Zhao, H. Zhang, M. Ng: Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion. IEEE Trans. Neural Networks Learn. Syst. 34(2): 932-946 (2023)
• L. Zhuang, M. Ng: FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4702-4716 (2023)
• H. Wu, J. Long, N. Li, D. Yu, M. 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)