An empirical study of using Rotation Forest to improve regressors. - Chun-Xia Zhang 002; Jiang-She Zhang 001; Guan-Wei Wang (Appl. Math. Comput., 2008)

Research and application of manifold learning to fault diagnosis of reciprocating compressor. - Guan-Wei Wang; Jian Zhuang; Dehong Yu (FSKD, 2010)

Boosting variable selection algorithm for linear regression models. - Chun-Xia Zhang 002; Guan-Wei Wang (ICNC, 2014)

Clustering with Prim's sequential representation of minimum spanning tree. - Guan-Wei Wang; Chun-Xia Zhang 002; Jian Zhuang (Appl. Math. Comput., 2014)

IRUSRT: A Novel Imbalanced Learning Technique by Combining Inverse Random Under Sampling and Random Tree. - Chun-Xia Zhang 002; Guan-Wei Wang; Jiang-She Zhang 001; Gao Guo; Qing-Yan Ying (Commun. Stat. Simul. Comput., 2014)

Building variable selection ensembles for linear regression models by adding noise. - Guan-Wei Wang; Chun-Xia Zhang 002 (ICMLC, 2015)

A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models. - Chun-Xia Zhang 002; Jiang-She Zhang 001; Guan-Wei Wang (MCS, 2015)

Investigating the Effect of Randomly Selected Feature Subsets on Bagging and Boosting. - Guan-Wei Wang; Chun-Xia Zhang 002; Gao Guo (Commun. Stat. Simul. Comput., 2015)

Randomizing outputs to increase variable selection accuracy. - Chun-Xia Zhang 002; Nan-Nan Ji; Guan-Wei Wang (Neurocomputing, 2016)