| 2018 | ICMLA | Teacher/Student Deep Semi-Supervised Learning for Training with Noisy Labels. | Zeyad Hailat, Xue-wen Chen |
| 2018 | ICPR | Deep Semi-Supervised Learning. | Zeyad Hailat, Artem Komarichev, Xue-wen Chen |
| 2017 | ICMLA | On Classifying Facial Races with Partial Occlusions and Pose Variations. | Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xue-wen Chen |
| 2016 | ICDM | Learning Deep Networks from Noisy Labels with Dropout Regularization. | Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen |
| 2016 | ICMLA | Latent Topic-Semantic Indexing Based Automatic Text Summarization. | Jiangsheng Yu, Xue-wen Chen |
| 2015 | ICMLA | Unsupervised Learning and Image Classification in High Performance Computing Cluster. | Itauma Itauma, Melih S. Aslan, Flavio Villanustre, Xue-wen Chen |
| 2015 | WWW | Topic and Sentiment Unification Maximum Entropy Model for Online Review Analysis. | Changlin Ma, Meng Wang, Xue-wen Chen |
| 2014 | DSAA | Learning sparse and scale-free networks. | Melih S. Aslan, Xue-wen Chen, Hong Cheng |
| 2014 | DSAA | Pseudo labels for imbalanced multi-label learning. | Wenrong Zeng, Xue-wen Chen, Hong Cheng |
| 2010 | CIKM | Mr.KNN: soft relevance for multi-label classification. | Xiaotong Lin, Xue-wen Chen |
| 2009 | CIKM | Learning to rank with a novel kernel perceptron method. | Xue-wen Chen, Haixun Wang, Xiaotong Lin |
| 2008 | ADMA | Integrative Neural Network Approach for Protein Interaction Prediction from Heterogeneous Data. | Xue-wen Chen, Mei Liu, Yong Hu |
| 2008 | ICMLA | Gene Network Learning Using Regulated Dynamic Bayesian Network Methods. | Xiaotong Lin, Xue-wen Chen |
| 2008 | KDD | FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems. | Xue-wen Chen, Michael Wasikowski |
| 2007 | ICML | Minimum reference set based feature selection for small sample classifications. | Xue-wen Chen, Jong Cheol Jeong |
| 2007 | ICMLA | Enhanced recursive feature elimination. | Xue-wen Chen, Jong Cheol Jeong |
| 2007 | ICMLA | Normalized Linear Transform for Cross-Platform Microarray Data Integration. | Huilin Xiong, Ya Zhang, Xue-wen Chen |
| 2006 | ICONIP | Comparison of One-Class SVM and Two-Class SVM for Fold Recognition. | Alexander Senf, Xue-wen Chen, Anne Zhang |
| 2005 | CIBCB | Optimized Kernel Machine for Cancer Classification Using Gene Expression Data. | Huilin Xiong, Xue-wen Chen |
| 2005 | IJCNN | Pruning support vectors for imbalanced data classification. | Xue-wen Chen, Byron Gerlach, David P. Casasent |
| 2005 | ISMB | Bayesian neural network approaches to ovarian cancer identification from high-resolution mass spectrometry data. | Jiangsheng Yu, Xue-wen Chen |
| 2004 | ICARCV | Locally optimal search method for identifying genes from microarray data. | Xue-wen Chen, Huaixin Chen |
| 2003 | IJCNN | Confidence-clustering supervised radial basis function neural networks. | David P. Casasent, Xue-wen Chen |