google scholar

Preparation

• Hosik Choi, Learning rank axis in embedding space
• Sungchul Shin, Dongseok Park, Sehee Park, Hosik Choi, 거대언어모델을 활용한 EMR 의료정보 처리방법론, preparation
• Utilizing synthetic data for hyperparameter tuning in homomorphic encryption-based machine learning training, preparation
• Sinkhorn distance for encrypted data
• Sparse state space kalman filter model
• Data value assessment using LLM
• Dawun Lee et. al. (2024+). Sparse association rule analysis using combinatorial optimization, preparation
• Garam Lee, Sulgi Kim, Hosik Choi*. (2024+). Privacy preserving principal component analysis application to ancestry inference, preparation
• 최민호, 이가람, 최호식* (2023). Homomorphic data completion using homomorphic SVD, preparation

2025+

• Hosik Choi, Minje Park, Jaeseon Kim, Sungchul Shin, Cheolwoo Park, Changdae Oh, Kyungwoo Song, Jong-jun Jeon, Cheolwoo Park*(2025+) Group rank for encrypted data, submitted
• Shinjeong Hwang, Minseol Kang, Donghyeon Kim, Jinhee Choi, Yongjoo Park, Hosik Choi*, Automated Discovery of Adverse Outcome Pathways for Pulmonary Fibrosis: From Data Integration to Path Optimization, (abstract) submitted
• Aida, Ayano; Gwon, San; Choi, Hosik; Yu, Sejong; Lee, Jaeyong; Kim, Chungsik; Park, Chan*(2025+), Invasive species detection in heritage sites using UAV-based hyperspectral imagery and patch-based deep learning, submitted, Landscape and Ecological Engineering
• Jung et al.(2025+) FunctionalBERT: A language-model framework for tokenizing functional data in GMFCS level classification
• Kang, I., Park, J., Park, C., Choi, H. Kwon, S., (2025+) SFKml R package, submitted
• Hyungwoo Kim, Hosik, Choi, Woojoo Lee(2025). Partially privacy-protected logistic regression with L1 penalty and sign constraint, submitted
• Sungjun Lim, Yeongjun Choi, Minhoi Park, Jaekyeong Jung, Taekyoung Kim, Hosik Choi, Kyungwoo Song(2025). Edu Llama, submitted