| Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm Y Hong, S Kwong, Y Chang, Q Ren Pattern Recognition 41 (9), 2742-2756, 2008 | 188 | 2008 |
| Resampling-based selective clustering ensembles Y Hong, S Kwong, H Wang, Q Ren Pattern recognition letters 30 (3), 298-305, 2009 | 89 | 2009 |
| Consensus unsupervised feature ranking from multiple views Y Hong, S Kwong, Y Chang, Q Ren Pattern Recognition Letters 29 (5), 595-602, 2008 | 87 | 2008 |
| Estimation of distribution algorithm based on copula theory LF Wang, JC Zeng, Y Hong 2009 IEEE Congress on Evolutionary Computation, 1057-1063, 2009 | 67 | 2009 |
| Learning assignment order of instances for the constrained k-means clustering algorithm Y Hong, S Kwong IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2008 | 59 | 2008 |
| To combine steady-state genetic algorithm and ensemble learning for data clustering Y Hong, S Kwong Pattern Recognition Letters 29 (9), 1416-1423, 2008 | 57 | 2008 |
| Learning a mixture of sparse distance metrics for classification and dimensionality reduction Y Hong, Q Li, J Jiang, Z Tu 2011 International Conference on Computer Vision, 906-913, 2011 | 56 | 2011 |
| Unsupervised video shot detection using clustering ensemble with a color global scale-invariant feature transform descriptor Y Chang, DJ Lee, Y Hong, J Archibald EURASIP Journal on Image and Video Processing 2008, 1-10, 2007 | 51 | 2007 |
| Unsupervised learning of compositional sparse code for natural image representation Y Hong, Z Si, W Hu, SC Zhu, YN Wu Quarterly of Applied Mathematics, 373-406, 2014 | 28 | 2014 |
| Unsupervised learning of dictionaries of hierarchical compositional models J Dai, Y Hong, W Hu, SC Zhu, Y Nian Wu Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 26 | 2014 |
| Spatial co-training for semi-supervised image classification Y Hong, W Zhu Pattern Recognition Letters 63, 59-65, 2015 | 19 | 2015 |
| Genetic-guided semi-supervised clustering algorithm with instance-level constraints Y Hong, S Kwong, H Xiong, Q Ren Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008 | 18 | 2008 |
| Using deep learning to preserve data confidentiality W Li, P Meng, Y Hong, X Cui Applied Intelligence 50 (2), 341-353, 2020 | 17 | 2020 |
| A Robust Color Image Quantization Algorithm Based on Knowledge Reuse of K-Means Clustering Ensemble. Y Chang, DJ Lee, Y Hong, J Archibald, D Liang Journal of Multimedia 3 (2), 2008 | 16 | 2008 |
| Adaptive population size for univariate marginal distribution algorithm Y Hong, Q Ren, J Zeng 2005 IEEE Congress on Evolutionary Computation 2, 1396-1402, 2005 | 16 | 2005 |
| A comprehensive comparison between real population based tournament selection and virtual population based tournament selection Y Hong, S Kwong, Q Ren, X Wang 2007 IEEE Congress on Evolutionary Computation, 445-452, 2007 | 13 | 2007 |
| Over-Selection: An attempt to boost EDA under small population size Y Hong, S Kwong, Q Ren, X Wang 2007 IEEE Congress on Evolutionary Computation, 1075-1082, 2007 | 12 | 2007 |
| Decision-based median filter using k-nearest noise-free pixels Y Hong, S Kwong, H Wang 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 11 | 2009 |
| Optimization of noisy fitness functions with univariate marginal distribution algorithm Y Hong, Q Ren, J Zeng 2005 IEEE congress on evolutionary computation 2, 1410-1417, 2005 | 11 | 2005 |
| Estimation of distribution algorithms making use of both high quality and low quality individuals Y Hong, G Zhu, S Kwong, Q Ren 2009 IEEE International Conference on Fuzzy Systems, 1806-1813, 2009 | 10 | 2009 |
