Ensemble Learning for Customers Targeting. - Yu Wang 135; Hongshan Xiao (KSEM, 2011)

Dynamic k-means clustering for risk decision making and its application to China's customs targeting. - Yu Wang 135; Hongshan Xiao (ICEC, 2012)

Ensemble classification based on supervised clustering for credit scoring. - Hongshan Xiao; Zhi Xiao; Yu Wang 135 (Appl. Soft Comput., 2016)

A Deep Learning Based Pipeline for Image Grading of Diabetic Retinopathy. - Yu Wang 135; G. Alan Wang; Weiguo Fan; Jiexun Li (ICSH, 2018)

A systematical approach to classification problems with feature space heterogeneity. - Hongshan Xiao; Yu Wang 135 (Kybernetes, 2019)

Forecasting the overnight return direction of stock market index combining global market indices: A multiple-branch deep learning approach. - Ruize Gao; Xin Zhang; Hongwu Zhang; Quanwu Zhao; Yu Wang 135 (Expert Syst. Appl., 2022)

Integrating the sentiments of multiple news providers for stock market index movement prediction: A deep learning approach based on evidential reasoning rule. - Ruize Gao; Shaoze Cui; Hongshan Xiao; Weiguo Fan; Hongwu Zhang; Yu Wang 135 (Inf. Sci., 2022)

K-nearest neighbors rule combining prototype selection and local feature weighting for classification. - Xin Zhang; Hongshan Xiao; Ruize Gao; Hongwu Zhang; Yu Wang 135 (Knowl. Based Syst., 2022)