Bayesian cluster ensembles H Wang, H Shan, A Banerjee Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (1), 54-70, 2011 | 201 | 2011 |
Microblog topic detection based on LDA model and single-pass clustering B Huang, Y Yang, A Mahmood, H Wang International Conference on Rough Sets and Current Trends in Computing, 166-171, 2012 | 77 | 2012 |
Hierarchical cluster ensemble model based on knowledge granulation J Hu, T Li, H Wang, H Fujita Knowledge-Based Systems 91, 179-188, 2016 | 74 | 2016 |
Semi-supervised hierarchical clustering ensemble and its application W Xiao, Y Yang, H Wang, T Li, H Xing Neurocomputing 173, 1362-1376, 2016 | 66 | 2016 |
Robust graph regularized nonnegative matrix factorization for clustering S Huang, H Wang, T Li, T Li, Z Xu Data Mining and Knowledge Discovery 32, 483-503, 2018 | 61 | 2018 |
Multi-view data clustering via non-negative matrix factorization with manifold regularization GA Khan, J Hu, T Li, B Diallo, H Wang International Journal of Machine Learning and Cybernetics, 1-13, 2022 | 60 | 2022 |
Spectral co-clustering ensemble S Huang, H Wang, D Li, Y Yang, T Li Knowledge-Based Systems 84, 46-55, 2015 | 59 | 2015 |
Constraint neighborhood projections for semi-supervised clustering H Wang, T Li, T Li, Y Yang IEEE Transactions on Cybernetics 44 (5), 636-643, 2014 | 40 | 2014 |
A factor graph model for unsupervised feature selection H Wang, Y Zhang, J Zhang, T Li, L Peng Information Sciences 480, 144-159, 2019 | 37 | 2019 |
Hyper-ellipsoidal clustering technique for evolving data stream MZ Rehman, T Li, Y Yang, H Wang Knowledge-Based Systems 70, 3-14, 2014 | 36 | 2014 |
Soft-voting clustering ensemble H Wang, Y Yang, H Wang, D Chen Multiple Classifier Systems: 11th International Workshop, MCS 2013, Nanjing …, 2013 | 35 | 2013 |
Restricted boltzmann machines with gaussian visible units guided by pairwise constraints J Chu, H Wang, H Meng, P Jin, T Li IEEE transactions on cybernetics 49 (12), 4321-4334, 2018 | 34 | 2018 |
Long sequence time-series forecasting with deep learning: A survey Z Chen, M Ma, T Li, H Wang, C Li Information Fusion 97, 101819, 2023 | 32 | 2023 |
An iterative locally auto-weighted least squares method for microarray missing value estimation Z Yu, T Li, SJ Horng, Y Pan, H Wang, Y Jing IEEE transactions on nanobioscience 16 (1), 21-33, 2016 | 32 | 2016 |
Linear discriminant analysis guided by unsupervised ensemble learning P Deng, H Wang, T Li, SJ Horng, X Zhu Information Sciences 480, 211-221, 2019 | 31 | 2019 |
RapidMic: rapid computation of the maximal information coefficient D Tang, M Wang, W Zheng, H Wang Evolutionary bioinformatics 10, EBO. S13121, 2014 | 29 | 2014 |
A novel role-based access control model in cloud environments J Luo, H Wang, X Gong, T Li International Journal of Computational Intelligence Systems 9 (1), 1-9, 2016 | 28 | 2016 |
Nonnegative matrix factorization for clustering ensemble based on dark knowledge W Ye, H Wang, S Yan, T Li, Y Yang Knowledge-Based Systems 163, 624-631, 2019 | 27 | 2019 |
Semi-supervised evolutionary ensembles for Web video categorization A Mahmood, T Li, Y Yang, H Wang, M Afzal Knowledge-Based Systems 76, 53-66, 2015 | 26 | 2015 |
Graph regularized sparse non-negative matrix factorization for clustering P Deng, T Li, H Wang, D Wang, SJ Horng, R Liu IEEE Transactions on Computational Social Systems, 2022 | 23 | 2022 |