An empirical study on classification methods for alarms from a bug-finding static C analyzer. - Kwangkeun Yi; Hosik Choi; Jaehwang Kim; Yongdai Kim (Inf. Process. Lett., 2007)

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)

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

Tracking concept drift using a constrained penalized regression combiner. - Li-Yu Wang; Cheolwoo Park; Kyupil Yeon; 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)

The sparse Luce model. - Jong-June Jeon; Hosik Choi (Appl. Intell., 2018)

Convex clustering for binary data. - Hosik Choi; Seokho Lee (Adv. Data Anal. Classif., 2019)

Primal path algorithm for compositional data analysis. - Jong-June Jeon; Yongdai Kim; Sungho Won; Hosik Choi (Comput. Stat. Data Anal., 2020)

EXoN: EXplainable encoder Network. - Seunghwan An; Hosik Choi; Jong-June Jeon (CoRR, 2021)

Negative binomial graphical model with excess zeros. - Beomjin Park; Hosik Choi; Changyi Park (Stat. Anal. Data Min., 2021)

Learning Fair Representation via Distributional Contrastive Disentanglement. - Changdae Oh; Heeji Won; Junhyuk So; Taero Kim; Yewon Kim; Hosik Choi; Kyungwoo Song (KDD, 2022)

Moving Object Tracking Based on Sparse Optical Flow with Moving Window and Target Estimator. - Hosik Choi; Byungmun Kang; DaeEun Kim (Sensors, 2022)

BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. - Changdae Oh; Hyeji Hwang; Hee Young Lee; YongTaek Lim; Geunyoung Jung; Jiyoung Jung; Hosik Choi; Kyungwoo Song (CVPR, 2023)

Reformulating land-use regression method as sign-constrained regularized regressions: Advantages and improvements. - Soon-Sun Kwon; Hosik Choi; Whanhee Lee; Yeonjin Kim; Hwan-Cheol Kim; Woojoo Lee (Environ. Model. Softw., 2023)

Fréchet distance-based cluster analysis for multi-dimensional functional data. - Il-Suk Kang; Hosik Choi; Young Joo Yoon; Junyoung Park; Soon-Sun Kwon; Cheolwoo Park (Stat. Comput., 2023)

Quantile estimation for encrypted data. - Minje Park; Jaeseon Kim; Sungchul Shin; Cheolwoo Park; Jong-June Jeon; Soon-Sun Kwon; Hosik Choi (Appl. Intell., 2023)

Robust Adaptation of Foundation Models with Black-Box Visual Prompting. - Changdae Oh; Gyeongdeok Seo; Geunyoung Jung; Zhi-Qi Cheng; Hosik Choi; Jiyoung Jung; Kyungwoo Song (CoRR, 2024)

Deep Symbolic Learning for Histogram-Valued Regression Data. - Il-Suk Kang; Donghwa Kim; Hosik Choi; Young Joo Yoon; Cheolwoo Park (Stat. Anal. Data Min., 2025)

TC-BERT: large-scale language model for Korean technology commercialization documents. - Taero Kim; Changdae Oh; Hyeji Hwang; Eunkyeong Lee; Yewon Kim; Yunjeong Choi; Sungjin Kim; Hosik Choi; Kyungwoo Song (J. Supercomput., 2025)

Multi-purpose technology commercialization recommender system with large-scale Korean language model. - Kangjun Noh; Hyeji Hwang; YongTaek Lim; Changdae Oh; Seungyeon Kim; Eunkyeong Lee; Yunjeong Choi; Sungjin Kim; Hosik Choi; Kyungwoo Song (J. Supercomput., 2025)