Multi-view clustering and feature learning via structured sparsity H Wang, F Nie, H Huang
International Conference on Machine Learning, 352-360, 2013
330 2013 Robust Principal Component Analysis with Non-Greedy F Nie, H Huang, C Ding, D Luo, H Wang
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
281 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
178 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
166 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
164 2011 Robust matrix completion via joint schatten F Nie, H Wang, X Cai, H Huang, C Ding
2012 IEEE 12th International Conference on Data Mining, 566-574, 2012
162 2012 Joint Schatten 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
142 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 H Wang, F Nie, H Huang
International Conference on Machine Learning, 1836-1844, 2014
116 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
110 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
110 2012 Unsupervised and semi-supervised learning via F Nie, H Wang, H Huang, C Ding
Computer Vision (ICCV), 2011 IEEE International Conference on, 2268-2273, 2011
110 * 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
92 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 Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization H Wang, H Huang, C Ding, F Nie
Research in Computational Molecular Biology, 314-325, 2012
82 2012