google scholar
Preparation
- Utilizing synthetic data for hyperparameter tuning in homomorphic encryption-based machine learning training, preparation
- Sinkhorn distance for encrpted data
- Sparse state space model
- 데이터 분석 관점의 가명처리와 동형암호 비교
- Data value assesment using LLM
- Prompt tuning for survey data
- Dawun Lee et. al. (2024+) Sparse assocation rule analysis using combinatorial optimization, preparation
- Garam Lee, Hosik Choi, Sulgi Kim. (2024+) Privacy preserving principal component analysis application to ancestry inference, preparation
2024
- 최민호, 이가람, 최호식* (2023). Homomorphic data completion using homomorphic SVD, preparation
- Minje Park, Jaeseon Kim, Sungchul Shin, Sulgi Kim, Cheolwoo Park, Changdae Oh, Kyungwoo Song, Hosik Choi*(2024) Group rank for encrypted data application to Spearman rank correlation, submitted
- Hwang et al. (2023+) Multi-purpose Technology Commercialization Recommender System with Large-scale Korean Language Model, submitted.
- Hwang et al. (2023+) TC-BERT: Large-scale Language Model for Korean Technology Commercialization Documents, submitted.
- Jung & Hwang et al.(2024+) Self-supervised classification for functional data using language model, revision.
- JK Lee, BK Kim, H Choi, SI Chang. (2024), Road-Pavement classification by artificial neural network model based on tire-pavement noise and road-surface image, Applied Acoustics, 225(5).
- Dokyung Kim et al. (2024), Data-driven approach to evaluate the Level-of-Service (LOS) of demand responsive transport for the Disabled (DRTD) with an ANFIS algorithm, Journal of Advanced Transportation.
- Beomjin Park, Changyi Park, Sungchul Hong, Hosik Choi*(2024), Sparse kernel kmeans clustering, Journal of Applied Statistics.
2023