Methods of Decreasing the Number of Support Vectors via k-Mean Clustering. - Xiao-Lei Xia; Michael R. Lyu; Tat-Ming Lok; Guang-Bin Huang (ICIC (1), 2005)

Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification. - Zhong-Hua Quan; De-Shuang Huang; Xiao-Lei Xia; Michael R. Lyu; Tat-Ming Lok (ICPR (2), 2006)

A New Score Correlation Analysis Multi-class Support Vector Machine for Microarray. - Xiao-Lei Xia; Kang Li (IJCNN, 2007)

Tree-Structured Learning of Multi-class SVMs with Triple Learning Units. - Xiao-Lei Xia; Kang Li (ICNC (1), 2009)

Two-stage gene selection for support vector machine classification of microarray data. - Xiao-Lei Xia; Kang Li 002; George W. Irwin (Int. J. Model. Identif. Control., 2009)

Sparse learning for support vector machines with biological applications. - Xiao-Lei Xia (2010)

A hierarchical multiclass support vector machine incorporated with holistic triple learning units. - Xiao-Lei Xia; Kang Li 002; George W. Irwin (Soft Comput., 2011)

A novel sparse least-squares support vector machine. - Xiao-Lei Xia (BMEI, 2012)

Improving the performance of the BioHEL learning classifier system. - Xiao-Lei Xia; Huanlai Xing (Expert Syst. Appl., 2013)

Training sparse least squares support vector machines by the QR decomposition. - Xiao-Lei Xia (Neural Networks, 2018)

Enhancing Sparsity of Support Vector Machines by Ridge Regression. - Xiao-Lei Xia; Mingxing Ouyang (IJCNN, 2022)

A Recursive Learning Algorithm for the Least Squares SVM. - Xiao-Lei Xia; Mingxing Ouyang (PRICAI (1), 2024)

ieGENES: A machine learning method for selecting differentially expressed genes in cancer studies. - Xiao-Lei Xia; Shang-Ming Zhou; Yunguang Liu; Na Lin; Ian M. Overton (J. Biomed. Informatics, 2025)