Fuzzy Canonical Discriminant Analysis: Theory and Practice. - Ben-Chang Shia; Jianping Zhu; Kuangnan Fang; Shuangge Ma (Commun. Stat. Simul. Comput., 2011)

Variable Selection for Credit Risk Model Using Data Mining technique. - Kuangnan Fang; Hong Huang (J. Comput., 2011)

Small and Medium Enterprises Risky Prediction System Based On Cloud Computing. - Malin Song 001; Ben-Chang Shia; Hailiang Yao; Wei Wang; Kuangnan Fang (J. Softw., 2012)

Guest Editorial. - Malin Song 001; Li Yang; Kuangnan Fang (J. Softw., 2012)

A New Ratio DEA Software for Measuring Efficiency of Industrial Departments. - Linbing Tang; Qingmei Tan; Kuangnan Fang (J. Softw., 2012)

Mass Data Analysis and Forecasting Based on Cloud Computing. - Tong Yang; Ben-Chang Shia; Jinrui Wei; Kuangnan Fang (J. Softw., 2012)

Regional environmental efficiency evaluation in China: Analysis based on the Super-SBM model with undesirable outputs. - Hong Li; Kuangnan Fang; Wei Yang; Di Wang 014; Xiaoxin Hong (Math. Comput. Model., 2013)

Chinese regional energy efficiency change and its determinants analysis: Malmquist index and Tobit model. - Wendong Lv; Xiaoxin Hong; Kuangnan Fang (Ann. Oper. Res., 2015)

Customer profitability forecasting using Big Data analytics: A case study of the insurance industry. - Kuangnan Fang; Yefei Jiang; Malin Song 001 (Comput. Ind. Eng., 2016)

Identification of proportionality structure with two-part models using penalization. - Kuangnan Fang; Xiaoyan Wang; Ben-Chang Shia; Shuangge Ma (Comput. Stat. Data Anal., 2016)

A Multistage Chi-square Test for Measurement of the Degree of Association in Two-way Table. - Jianping Zhu; Kuangnan Fang (Commun. Stat. Simul. Comput., 2016)

Testing covariates in high dimension linear regression with latent factors. - Wei Lan; Yue Ding; Zheng Fang; Kuangnan Fang (J. Multivar. Anal., 2016)

Integrative sparse principal component analysis. - Kuangnan Fang; Xinyan Fan; Qingzhao Zhang; Shuangge Ma (J. Multivar. Anal., 2018)

Nonparametric additive beta regression for fractional response with application to body fat data. - Kuangnan Fang; Xinyan Fan; Wei Lan; Bingquan Wang (Ann. Oper. Res., 2019)

Structured analysis of the high-dimensional FMR model. - Mengque Liu; Qingzhao Zhang; Kuangnan Fang; Shuangge Ma (Comput. Stat. Data Anal., 2020)

Conditional score matching for high-dimensional partial graphical models. - Xinyan Fan; Qingzhao Zhang; Shuangge Ma; Kuangnan Fang (Comput. Stat. Data Anal., 2021)

iSFun: an R package for integrative dimension reduction analysis. - Kuangnan Fang; Rui Ren; Qingzhao Zhang; Shuangge Ma (Bioinform., 2022)

Biclustering analysis of functionals via penalized fusion. - Kuangnan Fang; Yuanxing Chen; Shuangge Ma; Qingzhao Zhang (J. Multivar. Anal., 2022)

Subgroup analysis for high-dimensional functional regression. - Xiaochen Zhang; Qingzhao Zhang; Shuangge Ma; Kuangnan Fang (J. Multivar. Anal., 2022)

FunctanSNP: an R package for functional analysis of dense SNP data (with interactions). - Rui Ren; Kuangnan Fang; Qingzhao Zhang; Shuangge Ma (Bioinform., 2023)

Generalized latent space model for one-mode networks with awareness of two-mode networks. - Xinyan Fan; Kuangnan Fang; Dan Pu; Ruixuan Qin (Comput. Stat. Data Anal., 2024)

Functional Linear Model with Prior Information of Subjects' Network. - Xiaochen Zhang; Qingzhao Zhang; Kuangnan Fang (J. Comput. Graph. Stat., 2024)

Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis. - Yuanxing Chen; Qingzhao Zhang; Shuangge Ma; Kuangnan Fang (J. Mach. Learn. Res., 2024)

A novel communication-efficient heterogeneous federated positive and unlabeled learning method for credit scoring. - Yongqin Qiu; Yuanxing Chen; Kan Fang; Kuangnan Fang (Comput. Oper. Res., 2025)

Community influence analysis in social networks. - Yuanxing Chen; Kuangnan Fang; Wei Lan; Chih-Ling Tsai; Qingzhao Zhang (Comput. Stat. Data Anal., 2025)

Fraud Detection by Integrating Multisource Heterogeneous Presence-Only Data. - Yongqin Qiu; Yuanxing Chen; Kan Fang; Lean Yu; Kuangnan Fang (INFORMS J. Comput., 2025)

Joint modeling of mixed outcomes using a rank-based sparse neural network. - Jiajing Xue; Yaqing Xu; Jingmao Li; Shuangge Ma; Kuangnan Fang (J. Biomed. Informatics, 2025)