| 2011 | PAKDD | Using Classifier-Based Nominal Imputation to Improve Machine Learning. | Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Amri Napolitano |
| 2009 | FlAIRS | VipBoost: A More Accurate Boosting Algorithm. | Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner |
| 2008 | FlAIRS | A Mixture Imputation-Boosted Collaborative Filter. | Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner |
| 2008 | ICPR | VoB predictors: Voting on bagging classifications. | Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu |
| 2008 | IRI | VCI predictors: Voting on classifications from imputed learning sets. | Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu |
| 2008 | ICTAI | Using Imputation Techniques to Help Learn Accurate Classifiers. | Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner |
| 2008 | SAC | Imputation-boosted collaborative filtering using machine learning classifiers. | Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Russell Greiner |
| 2007 | ICIP | Arbitrarily-Shaped Window Based Stereo Matching using the Go-Light Optimization Algorithm. | Xiaoyuan Su, Taghi M. Khoshgoftaar |
| 2007 | ISVC | A Progressive Edge-Based Stereo Correspondence Method. | Xiaoyuan Su, Taghi M. Khoshgoftaar |
| 2007 | ISVC | Rule-Based Multiple Object Tracking for Traffic Surveillance Using Collaborative Background Extraction. | Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Andres Folleco |
| 2006 | ICTAI | Collaborative Filtering for Multi-class Data Using Belief Nets Algorithms. | Xiaoyuan Su, Taghi M. Khoshgoftaar |
| 2005 | ICTAI | Query Size Estimation Using Clustering Techniques. | Xiaoyuan Su, Miroslav Kubat, Moiez A. Tapia, Chao Hu |
| 2003 | ICTAI | Discriminative Parameter Learning of General Bayesian Network Classifiers. | Bin Shen, Xiaoyuan Su, Russell Greiner, Petr Muslek, Corrine Cheng |