ET-Lasso: Efficient Tuning of Lasso for High-Dimensional Data. - Songshan Yang; Jiawei Wen; Xiang Zhan; Daniel Kifer (CoRR, 2018)

ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data. - Songshan Yang; Jiawei Wen; Xiang Zhan; Daniel Kifer (KDD, 2019)

Prioritizing genetic variants in GWAS with lasso using permutation-assisted tuning. - Songshan Yang; Jiawei Wen; Scott T. Eckert; Yaqun Wang; Dajiang J. Liu; Rongling Wu; Runze Li 001; Xiang Zhan (Bioinform., 2020)

An overview of tests on high-dimensional means. - Yuan Huang; Changcheng Li; Runze Li 001; Songshan Yang (J. Multivar. Anal., 2022)

Regularized Linear Programming Discriminant Rule with Folded Concave Penalty for Ultrahigh-Dimensional Data. - Changcheng Li; Runze Li 001; Jiawei Wen; Songshan Yang; Xiang Zhan (J. Comput. Graph. Stat., 2023)

Compositional variable selection in quantile regression for microbiome data with false discovery rate control. - Runze Li; Jin Mu; Songshan Yang; Cong Ye; Xiang Zhan (Stat. Anal. Data Min., 2024)

Nonconvex Dantzig selector and its parallel computing algorithm. - Jiawei Wen; Songshan Yang; Delin Zhao (Stat. Comput., 2024)

Kernel Angle Dependence Measures in Metric Spaces. - Yilin Zhang; Songshan Yang (J. Comput. Graph. Stat., 2025)