| Agglomerative fuzzy k-means clustering algorithm with selection of number of clusters MJ Li, MK Ng, Y Cheung, JZ Huang IEEE transactions on knowledge and data engineering 20 (11), 1519-1534, 2008 | 354 | 2008 |
| On the impact of dissimilarity measure in k-modes clustering algorithm MK Ng, MJ Li, JZ Huang, Z He IEEE transactions on pattern analysis and machine intelligence 29 (3), 503-507, 2007 | 247 | 2007 |
| Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests TT Nguyen, JZ Huang, Q Wu, TT Nguyen, MJ Li BMC genomics 16, 1-11, 2015 | 114 | 2015 |
| Forecasting time series water levels on Mekong river using machine learning models TT Nguyen, QN Huu, MJ Li 2015 Seventh International Conference on Knowledge and Systems Engineering …, 2015 | 40 | 2015 |
| On cluster tree for nested and multi-density data clustering X Li, Y Ye, MJ Li, MK Ng Pattern Recognition 43 (9), 3130-3143, 2010 | 30 | 2010 |
| Scalable random forests for massive data B Li, X Chen, MJ Li, JZ Huang, S Feng Advances in Knowledge Discovery and Data Mining: 16th Pacific-Asia …, 2012 | 27 | 2012 |
| Fronto-parietal white matter microstructural deficits are linked to performance IQ in a first-episode schizophrenia Han Chinese sample Q Wang, C Cheung, W Deng, M Li, C Huang, X Ma, Y Wang, L Jiang, ... Psychological medicine 43 (10), 2047-2056, 2013 | 20 | 2013 |
| Grey relational analysis using Gaussian process regression method for dissolved gas concentration prediction SX Lu, G Lin, H Que, MJJ Li, CH Wei, JK Wang International Journal of Machine Learning and Cybernetics 10, 1313-1322, 2019 | 16 | 2019 |
| Extensions to quantile regression forests for very high-dimensional data NT Tung, JZ Huang, I Khan, MJ Li, G Williams Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014 | 14 | 2014 |
| SKM-SNP: SNP markers detection method Y Liu, M Li, YM Cheung, PC Sham, MK Ng Journal of biomedical informatics 43 (2), 233-239, 2010 | 14 | 2010 |
| HSGAN: Reducing mode collapse in GANs by the latent code distance of homogeneous samples S Yu, K Zhang, C Xiao, JZ Huang, MJ Li, M Onizuka Computer Vision and Image Understanding 214, 103314, 2022 | 12 | 2022 |
| A hierarchical Gamma Mixture Model-based method for estimating the number of clusters in complex data M Azhar, JZ Huang, MA Masud, MJ Li, L Cui Applied Soft Computing 87, 105891, 2020 | 12 | 2020 |
| Application of wavelet-based clustering approach to load profiling on AMI measurements Y Xiao, J Yang, H Que, MJ Li, Q Gao 2014 China International Conference on Electricity Distribution (CICED …, 2014 | 12 | 2014 |
| Hybrid random forests: Advantages of mixed trees in classifying text data B Xu, JZ Huang, G Williams, MJ Li, Y Ye Advances in Knowledge Discovery and Data Mining: 16th Pacific-Asia …, 2012 | 12 | 2012 |
| Investigators of the Hong Kong Cardiovascular Risk Factor Prevalence Study. Association of genetic variants in the adiponectin gene with adiponectin level and hypertension in … KL Ong, M Li, AW Tso, A Xu, SS Cherny, PC Sham, HF Tse, TH Lam, ... Eur J Endocrinol 163 (2), 251-257, 2010 | 11 | 2010 |
| A new feature sampling method in random forests for predicting high-dimensional data TT Nguyen, H Zhao, JZ Huang, TT Nguyen, MJ Li Pacific-Asia Conference on Knowledge Discovery and Data Mining, 459-470, 2015 | 10 | 2015 |
| ASP-based discovery of semi-Markovian causal models under weaker assumptions J Zhang, F Eberhardt, W Mayer, MJ Li arXiv preprint arXiv:1906.02385, 2019 | 9 | 2019 |
| Clustering of SNP data with application to genomics MK Ng, MJ Li, SI Ao, PC Sham, Y Cheung, JZ Huang Sixth IEEE International Conference on Data Mining-Workshops (ICDMW'06), 158-162, 2006 | 9 | 2006 |
| A hierarchical gamma mixture model-based method for classification of high-dimensional data M Azhar, MJ Li, J Zhexue Huang Entropy 21 (9), 906, 2019 | 4 | 2019 |
| Load pattern shape clustering analysis for manufacturing MJ Li, W Liu Smart Computing and Communication: Second International Conference, SmartCom …, 2018 | 3 | 2018 |
