Robust Unsupervised Feature Selection M Qian, C Zhai Proceedings of the 23rd International Joint Conference on Artificial …, 2013 | 335 | 2013 |
Unsupervised feature selection for multi-view clustering on text-image web news data M Qian, C Zhai Proceedings of the 23rd ACM International Conference on Information and …, 2014 | 59 | 2014 |
Kernel k-means based framework for aggregate outputs classification S Chen, B Liu, M Qian, C Zhang 2009 IEEE International Conference on Data Mining Workshops, 356-361, 2009 | 25 | 2009 |
Joint adaptive loss and l2/l0-norm minimization for unsupervised feature selection M Qian, C Zhai 2015 international joint conference on neural networks (IJCNN), 1-8, 2015 | 20 | 2015 |
MHC2MIL: a novel multiple instance learning based method for MHC II peptide binding prediction by considering peptide flanking region and residue positions S Xu, Yichang and Luo, Cheng and Qian, Mingjie and Huang, Xiaodi and Zhu BMC Genomics, 2014 | 17 | 2014 |
Efficient multi-class unlabeled constrained semi-supervised SVM M Qian, F Nie, C Zhang Proceedings of the 18th ACM International Conference on Information and …, 2009 | 12 | 2009 |
Probabilistic Labeled Semi-supervised SVM M Qian, F Nie, C Zhang 2009 IEEE International Conference on Data Mining Workshops, 394-399, 2009 | 8 | 2009 |
Sparse norm-regularized reconstructive coefficients learning B Liu, S Chen, M Qian, C Zhang 2009 Ninth IEEE International Conference on Data Mining, 854-859, 2009 | 6 | 2009 |
Temporal Reflected Logistic Regression for Probabilistic Heart Failure Survival Score Prediction M Qian, J Pathak, NL Pereira, C Zhai Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on …, 2017 | 5 | 2017 |
Text-image topic discovery for web news data M Qian Advances in Information Retrieval: 36th European Conference on IR Research …, 2014 | 5 | 2014 |
Structured Sparse Regression for Recommender Systems M Qian, L Hong, Y Shi, S Rajan Proceedings of the 24th ACM International Conference on Information and …, 2015 | 3 | 2015 |
The equivalence of logistic regression and maximum entropy modeling M Qian | 3 | 2013 |
How about utilizing ordinal information from the distribution of unlabeled data M Qian, B Chen, H Xu, H Qi Proceedings of the 19th ACM International Conference on Information and …, 2010 | 2 | 2010 |
Unsupervised feature analysis for high dimensional big data M Qian University of Illinois at Urbana-Champaign, 2015 | 1 | 2015 |
Instance-and bag-level manifold regularization for aggregate outputs classification S Chen, B Liu, M Qian, C Zhang Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | | 2009 |
A speed-up algorithm for Poisson Propagation B Liu, M Qian 2009 International Joint Conference on Neural Networks, 1843-1848, 2009 | | 2009 |
Appendix for Text-Image Topic Discovery for Web News Data M Qian, C Zhai | | |