Dimensionality reduction by soft-margin support vector machine. - Ruipeng Dong; Hua Meng 001; Zhiguo Long; Hailiang Zhao (ICA, 2017)

Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix. - Kun Chen 002; Ruipeng Dong; Wanwan Xu; Zemin Zheng (CoRR, 2020)

Parallel integrative learning for large-scale multi-response regression with incomplete outcomes. - Ruipeng Dong; Daoji Li; Zemin Zheng (Comput. Stat. Data Anal., 2021)

Best Subset Selection in Reduced Rank Regression. - Canhong Wen; Ruipeng Dong; Xueqin Wang; Weiyu Li; Heping Zhang (CoRR, 2022)

Fast Stagewise Sparse Factor Regression. - Kun Chen 002; Ruipeng Dong; Wanwan Xu; Zemin Zheng (J. Mach. Learn. Res., 2022)

Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression. - Canhong Wen; Zhenduo Li; Ruipeng Dong; Yijin Ni; Wenliang Pan (INFORMS J. Comput., 2023)

Communication-efficient estimation for distributed subset selection. - Yan Chen; Ruipeng Dong; Canhong Wen (Stat. Comput., 2023)

Robust Parallel Pursuit for Large-Scale Association Network Learning. - Wenhui Li; Xin Zhou; Ruipeng Dong; Zemin Zheng (INFORMS J. Comput., 2025)