Hosik Choi

26 papers A* 2B 1Journal 23
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep Symbolic Learning for Histogram-Valued Regression Data.
Stat. Anal. Data Min.
Il-Suk Kang, Donghwa Kim, Hosik Choi, Young Joo Yoon, Cheolwoo Park
2025 J jnl
Multi-purpose technology commercialization recommender system with large-scale Korean language model.
J. Supercomput.
Kangjun Noh, Hyeji Hwang, YongTaek Lim, Changdae Oh, Seungyeon Kim, Eunkyeong Lee, Yunjeong Choi, Sungjin Kim, Hosik Choi, Kyungwoo Song
2025 B conf
RAILL: Retrieval-Augmented Instruction Tuning for Low-Resource Language Model Training.
IEEE Big Data
Youngjun Choi, Sungjun Lim, Minhoi Park, Jaekyeong Jung, Taekyung Kim, Eunsik Kim, Chul-Su Kim, Kyongjae Lee, Hosik Choi, Kyungwoo Song
2025 J jnl
TC-BERT: large-scale language model for Korean technology commercialization documents.
J. Supercomput.
Taero Kim, Changdae Oh, Hyeji Hwang, Eunkyeong Lee, Yewon Kim, Yunjeong Choi, Sungjin Kim, Hosik Choi, Kyungwoo Song
2024 J jnl
Robust Adaptation of Foundation Models with Black-Box Visual Prompting.
CoRR
Changdae Oh, Gyeongdeok Seo, Geunyoung Jung, Zhi-Qi Cheng, Hosik Choi, Jiyoung Jung, Kyungwoo Song
2023 A* conf
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning.
CVPR
Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song
2023 J jnl
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning.
CoRR
Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song
2023 J jnl
Fréchet distance-based cluster analysis for multi-dimensional functional data.
Stat. Comput.
Il-Suk Kang, Hosik Choi, Young Joo Yoon, Junyoung Park, Soon-Sun Kwon, Cheolwoo Park
2023 J jnl
Quantile estimation for encrypted data.
Appl. Intell.
Minje Park, Jaeseon Kim, Sungchul Shin, Cheolwoo Park, Jong-June Jeon, Soon-Sun Kwon, Hosik Choi
2023 J jnl
Reformulating land-use regression method as sign-constrained regularized regressions: Advantages and improvements.
Environ. Model. Softw.
Soon-Sun Kwon, Hosik Choi, Whanhee Lee, Yeonjin Kim, Hwan-Cheol Kim, Woojoo Lee
2022 A* conf
Learning Fair Representation via Distributional Contrastive Disentanglement.
KDD
Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
2022 J jnl
Learning Fair Representation via Distributional Contrastive Disentanglement.
CoRR
Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
2022 J jnl
Moving Object Tracking Based on Sparse Optical Flow with Moving Window and Target Estimator.
Sensors
Hosik Choi, Byungmun Kang, DaeEun Kim
2021 J jnl
EXoN: EXplainable encoder Network.
CoRR
Seunghwan An, Hosik Choi, Jong-June Jeon
2021 J jnl
Negative binomial graphical model with excess zeros.
Stat. Anal. Data Min.
Beomjin Park, Hosik Choi, Changyi Park
2020 J jnl
Primal path algorithm for compositional data analysis.
Comput. Stat. Data Anal.
Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi
2019 J jnl
Convex clustering for binary data.
Adv. Data Anal. Classif.
Hosik Choi, Seokho Lee
2018 J jnl
Primal path algorithm for compositional data analysis.
CoRR
Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi
2018 J jnl
The sparse Luce model.
Appl. Intell.
Jong-June Jeon, Hosik Choi
2017 J jnl
A robust support vector machine for labeling errors.
Commun. Stat. Simul. Comput.
Hosik Choi, Yongdai Kim, Sunghoon Kwon, Changyi Park
2017 J jnl
Homogeneity detection for the high-dimensional generalized linear model.
Comput. Stat. Data Anal.
Jong-June Jeon, Sunghoon Kwon, Hosik Choi
2017 J jnl
Tracking concept drift using a constrained penalized regression combiner.
Comput. Stat. Data Anal.
Li-Yu Wang, Cheolwoo Park, Kyupil Yeon, Hosik Choi
2012 J jnl
Consistent Model Selection Criteria on High Dimensions.
J. Mach. Learn. Res.
Yongdai Kim, Sunghoon Kwon, Hosik Choi
2011 J jnl
Gene selection and prediction for cancer classification using support vector machines with a reject option.
Comput. Stat. Data Anal.
Hosik Choi, Donghwa Yeo, Sunghoon Kwon, Yongdai Kim
2011 J jnl
Quadratic approximation on SCAD penalized estimation.
Comput. Stat. Data Anal.
Sunghoon Kwon, Hosik Choi, Yongdai Kim
2007 J jnl
An empirical study on classification methods for alarms from a bug-finding static C analyzer.
Inf. Process. Lett.
Kwangkeun Yi, Hosik Choi, Jaehwang Kim, Yongdai Kim