Multi-view clustering and feature learning via structured sparsity H Wang, F Nie, H Huang International Conference on Machine Learning, 352-360, 2013 | 331 | 2013 |
Robust Principal Component Analysis with Non-Greedy -Norm Maximization F Nie, H Huang, C Ding, D Luo, H Wang Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 282 | 2011 |
Identifying Quantitative Trait Loci via Group-Sparse Multi-Task Regression and Feature Selection: An Imaging Genetics Study of the ADNI Cohort H Wang, F Nie, H Huang, S Kim, K Nho, SL Risacher, AJ Saykin, L Shen Bioinformatics, 2011 | 194 | 2011 |
Multi-label linear discriminant analysis H Wang, C Ding, H Huang Computer Vision–ECCV 2010, 126-139, 2010 | 179 | 2010 |
Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering H Wang, F Nie, H Huang, F Makedon Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 168 | 2011 |
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance H Wang, F Nie, H Huang, S Risacher, C Ding, AJ Saykin, L Shen 2011 International Conference on Computer Vision, 557-562, 2011 | 166 | 2011 |
Robust matrix completion via joint schatten -norm and -norm minimization F Nie, H Wang, X Cai, H Huang, C Ding 2012 IEEE 12th International Conference on Data Mining, 566-574, 2012 | 163 | 2012 |
Joint Schatten -norm and -norm robust matrix completion for missing value recovery F Nie, H Wang, H Huang, C Ding Knowledge and Information Systems 42 (3), 525-544, 2015 | 146 | 2015 |
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning H Wang, F Nie, H Huang, SL Risacher, AJ Saykin, L Shen, ... Bioinformatics 28 (12), i127-i136, 2012 | 143 | 2012 |
Image annotation using multi-label correlated green's function H Wang, H Huang, C Ding 2009 IEEE 12th International Conference on Computer Vision, 2029-2034, 2009 | 136 | 2009 |
Robust distance metric learning via simultaneous -norm minimization and maximization H Wang, F Nie, H Huang International Conference on Machine Learning, 1836-1844, 2014 | 117 | 2014 |
Adaptive loss minimization for semi-supervised elastic embedding F Nie, H Wang, H Huang, C Ding Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 116 | 2013 |
Joint stage recognition and anatomical annotation of drosophila gene expression patterns X Cai, H Wang, H Huang, C Ding Bioinformatics 28 (12), i16-i24, 2012 | 113 | 2012 |
Unsupervised and semi-supervised learning via -norm graph F Nie, H Wang, H Huang, C Ding Computer Vision (ICCV), 2011 IEEE International Conference on, 2268-2273, 2011 | 111* | 2011 |
Image annotation using bi-relational graph of images and semantic labels H Wang, H Huang, C Ding CVPR 2011, 793-800, 2011 | 106 | 2011 |
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction H Wang, F Nie, H Huang, J Yan, S Kim, S Risacher, A Saykin, L Shen Advances in Neural Information Processing Systems 25, 1286-1294, 2012 | 105 | 2012 |
Heterogeneous visual features fusion via sparse multimodal machine H Wang, F Nie, H Huang, C Ding Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 93 | 2013 |
Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization H Wang, H Huang, C Ding Proceedings of the 20th ACM international conference on Information and …, 2011 | 88 | 2011 |
Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization H Wang, H Huang, F Nie, C Ding Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 86 | 2011 |
Early active learning via robust representation and structured sparsity F Nie, H Wang, H Huang, C Ding Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 83 | 2013 |