Multiclass sparse logistic regression for classification of multiple cancer types using gene expression data. - Yongdai Kim; Sunghoon Kwon; Seuck Heun Song (Comput. Stat. Data Anal., 2006)

Gene selection and prediction for cancer classification using support vector machines with a reject option. - Hosik Choi; Donghwa Yeo; Sunghoon Kwon; Yongdai Kim (Comput. Stat. Data Anal., 2011)

Quadratic approximation on SCAD penalized estimation. - Sunghoon Kwon; Hosik Choi; Yongdai Kim (Comput. Stat. Data Anal., 2011)

Consistent Model Selection Criteria on High Dimensions. - Yongdai Kim; Sunghoon Kwon; Hosik Choi (J. Mach. Learn. Res., 2012)

Moderately clipped LASSO. - Sunghoon Kwon; Sangin Lee; Yongdai Kim (Comput. Stat. Data Anal., 2015)

The use of random-effect models for high-dimensional variable selection problems. - Sunghoon Kwon; Seungyoung Oh; Youngjo Lee 001 (Comput. Stat. Data Anal., 2016)

A modified local quadratic approximation algorithm for penalized optimization problems. - Sangin Lee; Sunghoon Kwon; Yongdai Kim (Comput. Stat. Data Anal., 2016)

A New Algorithm and Theory for Penalized Regression-based Clustering. - Chong Wu; Sunghoon Kwon; Xiaotong Shen; Wei Pan (J. Mach. Learn. Res., 2016)

Homogeneity detection for the high-dimensional generalized linear model. - Jong-June Jeon; Sunghoon Kwon; Hosik Choi (Comput. Stat. Data Anal., 2017)

A robust support vector machine for labeling errors. - Hosik Choi; Yongdai Kim; Sunghoon Kwon; Changyi Park (Commun. Stat. Simul. Comput., 2017)

A Unified Algorithm for the Non-Convex Penalized Estimation: The ncpen Package. - Dongshin Kim 003; Sangin Lee; Sunghoon Kwon (R J., 2020)

GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer. - Yongju Lee; Hyunho Lee; Kyoungseob Shin; Sunghoon Kwon (AAAI, 2023)