google scholar

Preparation

• Shinjeong Hwang, Minseol Kang, Hosik Choi, A literature-driven AOP estimation: from event extraction to pathway optimization
• 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+

• 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
• 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
• Sungjun Lim, Yeongjun Choi, Minhoi Park, Jaekyeong Jung, Taekyoung Kim, Hosik Choi, Kyungwoo Song(2025). Edu Llama, submitted
• Jung & Hwang et al.(2024+) Self-supervised classification for functional data using language model, revision.