Hosik Choi

According to our database, Hosik Choi authored at least 20 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 2025

2024

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

2023

Quantile estimation for encrypted data.

Minje Park, Jaeseon Kim, Sungchul Shin, Cheolwoo Park, Jong-June Jeon, Soon-Sun Kwon, Hosik Choi

Appl. Intell., November, 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., August, 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., April, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Moving Object Tracking Based on Sparse Optical Flow with Moving Window and Target Estimator.

Hosik Choi, Byungmun Kang, DaeEun Kim

Sensors, 2022

Learning Fair Representation via Distributional Contrastive Disentanglement.

Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Negative binomial graphical model with excess zeros.

Beomjin Park, Hosik Choi, Changyi Park

Stat. Anal. Data Min., 2021

EXoN: EXplainable encoder Network.

SeungHwan An, Hosik Choi, Jong-June Jeon

CoRR, 2021

2020

Primal path algorithm for compositional data analysis.

Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi

Comput. Stat. Data Anal., 2020

2019

Convex clustering for binary data.

Hosik Choi, Seokho Lee

Adv. Data Anal. Classif., 2019

2018

The sparse Luce model.

Jong-June Jeon, Hosik Choi

Appl. Intell., 2018

2017

A robust support vector machine for labeling errors.

Hosik Choi, Yongdai Kim, Sunghoon Kwon, Changyi Park

Commun. Stat. Simul. Comput., 2017

Tracking concept drift using a constrained penalized regression combiner.

Li-Yu Wang, Cheolwoo Park, Kyupil Yeon, Hosik Choi

Comput. Stat. Data Anal., 2017

Homogeneity detection for the high-dimensional generalized linear model.

Jong-June Jeon, Sunghoon Kwon, Hosik Choi

Comput. Stat. Data Anal., 2017

2012

Consistent Model Selection Criteria on High Dimensions.

Yongdai Kim, Sunghoon Kwon, Hosik Choi

J. Mach. Learn. Res., 2012

2011

Quadratic approximation on SCAD penalized estimation.

Sunghoon Kwon, Hosik Choi, Yongdai Kim

Comput. Stat. Data Anal., 2011

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

2007

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