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2020 – today
- 2024
[i5]Changdae Oh, Gyeongdeok Seo, Geunyoung Jung, Zhi-Qi Cheng
, Hosik Choi, Jiyoung Jung, Kyungwoo Song:
Robust Adaptation of Foundation Models with Black-Box Visual Prompting. CoRR abs/2407.17491 (2024)- 2023
- [j15]Minje Park, Jaeseon Kim, Sungchul Shin, Cheolwoo Park, Jong-June Jeon, Soon-Sun Kwon, Hosik Choi:
Quantile estimation for encrypted data. Appl. Intell. 53(21): 24782-24791 (2023) - [j14]Soon-Sun Kwon, Hosik Choi, Whanhee Lee, Yeonjin Kim, Hwan-Cheol Kim, Woojoo Lee:
Reformulating land-use regression method as sign-constrained regularized regressions: Advantages and improvements. Environ. Model. Softw. 162: 105653 (2023) - [j13]Il-Suk Kang, Hosik Choi, Young Joo Yoon, Junyoung Park, Soon-Sun Kwon, Cheolwoo Park:
Fréchet distance-based cluster analysis for multi-dimensional functional data. Stat. Comput. 33(4): 75 (2023) - [c2]Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song:
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. CVPR 2023: 24224-24235 - [i4]Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song:
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. CoRR abs/2303.14773 (2023) - 2022
- [j12]Hosik Choi, Byungmun Kang, DaeEun Kim:
Moving Object Tracking Based on Sparse Optical Flow with Moving Window and Target Estimator. Sensors 22(8): 2878 (2022) - [c1]Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song:
Learning Fair Representation via Distributional Contrastive Disentanglement. KDD 2022: 1295-1305 - [i3]Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song:
Learning Fair Representation via Distributional Contrastive Disentanglement. CoRR abs/2206.08743 (2022) - 2021
- [j11]Beomjin Park, Hosik Choi, Changyi Park:
Negative binomial graphical model with excess zeros. Stat. Anal. Data Min. 14(5): 449-465 (2021) - [i2]SeungHwan An, Hosik Choi, Jong-June Jeon:
EXoN: EXplainable encoder Network. CoRR abs/2105.10867 (2021) - 2020
- [j10]Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi:
Primal path algorithm for compositional data analysis. Comput. Stat. Data Anal. 148: 106958 (2020)
2010 – 2019
- 2019
- [j9]Hosik Choi, Seokho Lee:
Convex clustering for binary data. Adv. Data Anal. Classif. 13(4): 991-1018 (2019) - 2018
- [j8]Jong-June Jeon, Hosik Choi:
The sparse Luce model. Appl. Intell. 48(8): 1953-1964 (2018) - [i1]Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi:
Primal path algorithm for compositional data analysis. CoRR abs/1812.08954 (2018) - 2017
- [j7]Li-Yu Wang, Cheolwoo Park, Kyupil Yeon, Hosik Choi:
Tracking concept drift using a constrained penalized regression combiner. Comput. Stat. Data Anal. 108: 52-69 (2017) - [j6]Jong-June Jeon, Sunghoon Kwon, Hosik Choi:
Homogeneity detection for the high-dimensional generalized linear model. Comput. Stat. Data Anal. 114: 61-74 (2017) - [j5]Hosik Choi, Yongdai Kim, Sunghoon Kwon, Changyi Park:
A robust support vector machine for labeling errors. Commun. Stat. Simul. Comput. 46(8): 6061-6073 (2017) - 2012
- [j4]Yongdai Kim, Sunghoon Kwon, Hosik Choi:
Consistent Model Selection Criteria on High Dimensions. J. Mach. Learn. Res. 13: 1037-1057 (2012) - 2011
- [j3]Sunghoon Kwon, Hosik Choi, Yongdai Kim:
Quadratic approximation on SCAD penalized estimation. Comput. Stat. Data Anal. 55(1): 421-428 (2011) - [j2]Hosik Choi, Donghwa Yeo, Sunghoon Kwon, Yongdai Kim:
Gene selection and prediction for cancer classification using support vector machines with a reject option. Comput. Stat. Data Anal. 55(5): 1897-1908 (2011)
2000 – 2009
- 2007
- [j1]Kwangkeun Yi, Hosik Choi, Jaehwang Kim, Yongdai Kim:
An empirical study on classification methods for alarms from a bug-finding static C analyzer. Inf. Process. Lett. 102(2-3): 118-123 (2007)
Coauthor Index
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