Prediction of Type 2 Diabetes using Genome-Wide Polygenic Risk Score and Metabolic Profiles: A Machine Learning Analysis of Population-based 10-year Prospective Cohort Study SJ Hahn, S Kim, YS Choi, J Lee, J Kang EBioMedicine, 2022 | 36 | 2022 |
Connecting Low-Loss Subspace for Personalized Federated Learning SJ Hahn, M Jeong, J Lee ACM Knowledge Discovery and Data Mining Conference (KDD), 2022, 2022 | 19* | 2022 |
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data SJ Hahn, J Lee Conference of Korean Institute of Industrial Engineers (KIIE), Fall 2019, 2019 | 13 | 2019 |
CAFO: Feature-Centric Explanation on Time Series Classification J Kim, SJ Hahn, Y Hwang, J Lee, S Lee ACM Knowledge Discovery and Data Mining Conference (KDD), 2024, 2024 | | 2024 |
Algorithms for Collaborative Machine Learning under Statistical Heterogeneity SJ Hahn Ph.D. dissertation, 2024 | | 2024 |
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making SJ Hahn, GS Kim, J Lee International Conference of Machine Learning (ICML), 2024, 2024 | | 2024 |
Anomaly Detection in Multivariate Time Series for Variable Refrigerant Flow System M Lee, SJ Hahn, Y Kim, J Son, H Jung, D Sunwoo, K Kim, J Lee Conference of Korean Institute of Industrial Engineers (KIIE), Spring 2022, 2022 | | 2022 |