| 2023 | ICDE | A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract. | Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu |
| 2023 | ICDE | Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). | Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu |
| 2023 | ICMLC | On Reinforcement Learning in Stabilizability of Probabilistic Boolean Control Networks. | Lin Lin, James Lam, Peng Shi, Michael K. Ng, Hak-Keung Lam |
| 2020 | IJCAI | MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product. | Zhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng |
| 2020 | MICCAI | Deep Reinforcement Active Learning for Medical Image Classification. | Jingwen Wang, Yuguang Yan, Yubing Zhang, Guiping Cao, Ming Yang, Michael K. Ng |
| 2019 | AAAI | Oversampling for Imbalanced Data via Optimal Transport. | Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu |
| 2018 | ICPR | Structured Convex Optimization Method for Orthogonal Nonnegative Matrix Factorization. | JunJun Pan, Michael K. Ng, Xiongjun Zhang |
| 2017 | ICDM | Tensor Based Relations Ranking for Multi-relational Collective Classification. | Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen |
| 2017 | IGARSS | Miss data reconstruction in remote sensing images with a double weighted tensor low rank model. | Qiangqiang Yuan, Michael K. Ng, Huanfeng Shen, Liangpei Zhang, Jie Li |
| 2015 | CVPR | Semi-supervised low-rank mapping learning for multi-label classification. | Liping Jing, Liu Yang, Jian Yu, Michael K. Ng |
| 2014 | SDM | Mixed-Transfer: Transfer Learning over Mixed Graphs. | Ben Tan, Erheng Zhong, Michael K. Ng, Qiang Yang |
| 2012 | SDM | HAR: Hub, Authority and Relevance Scores in Multi-Relational Data for Query Search. | Xutao Li, Michael K. Ng, Yunming Ye |
| 2010 | AAAI | Multi-Instance Dimensionality Reduction. | Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou |
| 2010 | ICASSP | Fast total variation image restoration with parameter estimation using bayesian inference. | Bruno Amizic, S. Derin Babacan, Michael K. Ng, Rafael Molina, Aggelos K. Katsaggelos |
| 2010 | PRICAI | Exploiting Word Cluster Information for Unsupervised Feature Selection. | Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang |
| 2009 | PAKDD | Budget Semi-supervised Learning. | Zhi-Hua Zhou, Michael K. Ng, Qiao-Qiao She, Yuan Jiang |
| 2007 | DASFAA | A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering. | Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K. Ng, Xiaohua Zhou |
| 2006 | APBC | On the Complexity of Finding Control Strategies for Boolean Networks. | Tatsuya Akutsu, Morihiro Hayashida, Wai-Ki Ching, Michael K. Ng |
| 2006 | APBC | A Recursive Method for Solving Haplotype Frequencies in Multiple Loci Linkage Analysis. | Michael K. Ng |
| 2006 | ICASSP | Investigation of Computational Compound-Eye Imaging System With Super-Resolution Reconstruction. | Wai-San Chan, Edmund Y. Lam, Michael K. Ng |
| 2006 | ICDM | Clustering of SNP Data with Application to Genomics. | Michael K. Ng, Mark Junjie Li, Sio Iong Ao, Pak Chung Sham, Yiu-ming Cheung, Joshua Zhexue Huang |
| 2006 | ICDM | Input Validation for Semi-supervised Clustering. | Kevin Y. Yip, Michael K. Ng, David W. Cheung |
| 2006 | ICPR | Extending the Depth of Field in a Compound-Eye Imaging System with Super-Resolution Reconstruction. | Wai-San Chan, Edmund Y. Lam, Michael K. Ng |
| 2005 | GRC | A linear control model for gene intervention in a genetic regulatory network. | Shuqin Zhang, Michael K. Ng, Wai-Ki Ching, Tatsuya Akutsu |
| 2005 | ICCSA | Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration. | Haoying Fu, Michael K. Ng, Mila Nikolova, Jesse L. Barlow, Wai-Ki Ching |
| 2005 | ICDE | On Mining Micro-array data by Order-Preserving Submatrix. | Lin Cheung, Kevin Y. Yip, David W. Cheung, Ben Kao, Michael K. Ng |
| 2005 | ICDE | On Discovery of Extremely Low-Dimensional Clusters using Semi-Supervised Projected Clustering. | Kevin Y. Yip, David W. Cheung, Michael K. Ng |
| 2005 | PAKDD | Subspace Clustering of Text Documents with Feature Weighting | Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang |
| 2004 | APWEB | An Efficient Multidimensional Data Model for Web Usage Mining. | Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang |
| 2004 | BIBE | Identifying Projected Clusters from Gene Expression Profiles. | Kevin Y. Yip, David W. Cheung, Michael K. Ng, Kei-Hoi Cheung |
| 2004 | CIS | Discretization of Multidimensional Web Data for Informative Dense Regions Discovery. | Edmond HaoCun Wu, Michael K. Ng, Andy M. Yip, Tony F. Chan |
| 2004 | DASFAA | On Improving Website Connectivity by Using Web-Log Data Streams. | Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang |
| 2004 | IDEAL | Building Genetic Networks for Gene Expression Patterns. | Wai-Ki Ching, Eric S. Fung, Michael K. Ng |
| 2004 | IDEAL | A Clustering Model for Mining Evolving Web User Patterns in Data Stream Environment. | Edmond HaoCun Wu, Michael K. Ng, Andy M. Yip, Tony F. Chan |
| 2004 | IDEAL | Unsupervised Dense Regions Discovery in DNA Microarray Data. | Andy M. Yip, Edmond HaoCun Wu, Michael K. Ng, Tony F. Chan |
| 2004 | MDAI | A Feature Weighting Approach to Building Classification Models by Interactive Clustering. | Liping Jing, Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong |
| 2004 | PAKDD | Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models. | Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Michael K. Ng |
| 2004 | PAKDD | An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams. | Andy M. Yip, Edmond HaoCun Wu, Michael K. Ng, Tony F. Chan |
| 2003 | ICCSA | A Direct Method for Block-Toeplitz Systems with Applications to Re-manufacturing Systems. | Wai-Ki Ching, Michael K. Ng, Wai-On Yuen |
| 2003 | IDEAL | Higher-Order Hidden Markov Models with Applications to DNA Sequences. | Wai-Ki Ching, Eric S. Fung, Michael K. Ng |
| 2003 | KDD | A highly-usable projected clustering algorithm for gene expression profiles. | Kevin Y. Yip, David W. Cheung, Michael K. Ng |
| 2003 | PAKDD | A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules. | Edmond HaoCun Wu, Michael K. Ng |
| 2002 | ICIP | Comparison of the main forms of half-quadratic regularization. | Michael K. Ng, Mila Nikolova |
| 2002 | PAKDD | M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining. | Michael K. Ng, Joshua Zhexue Huang |
| 2001 | DASFAA | An Empirical Study on the Visual Cluster Validation Method with Fastmap. | Zhexue Huang, Michael K. Ng, David Wai-Lok Cheung |
| 2001 | ICIP | Fast image reconstruction algorithms combining half-quadratic regularization and preconditioning. | Mila Nikolova, Michael K. Ng |
| 2001 | KDD | A Cube Model and Cluster Analysis for Web Access Sessions. | Joshua Zhexue Huang, Michael K. Ng, Wai-Ki Ching, Joe Ng, David Wai-Lok Cheung |
| 2001 | PAKDD | Patterns Discovery Based on Time-Series Decomposition. | Jeffrey Xu Yu, Michael K. Ng, Joshua Zhexue Huang |
| 2000 | ICPADS | An efficient parallel algorithm for high resolution color image reconstruction. | Michael K. Ng |
| 2000 | IDEAL | An Interactive Approach to Building Classification Models by Clustering and Cluster Validation. | Zhexue Huang, Michael K. Ng, Tao Lin, David Wai-Lok Cheung |
| 2000 | IDEAL | A Tabu Search Based Algorithm for Clustering Categorical Data Sets. | Joyce C. Wong, Michael K. Ng |
| 1999 | ICIP | Iterative Methods for Phase Diversity-Based Blind Deconvolution in Atmospheric Optics. | Wilson C. Kwan, Michael K. Ng |
| 1999 | ICIP | Map Regularized Image Reconstruction with Multisensors. | Michael K. Ng, Wilson C. Kwan |
| 1998 | PAKDD | Data-Mining Massive Time Series Astronomical Data Sets - A Case Study. | Michael K. Ng, Zhexue Huang, Markus Hegland |
| 1995 | ICIP | Nonlinear image restoration using FFT-based conjugate gradient methods. | Michael K. Ng |