| 2020 | Hierarchical Clustering Application on Extended Sufficient Dimension Reduction Methods | 유채연 | Master's Thesis |
| 2014 | High-throughput data dimension reduction via seeded canonical correlation analysis | 유재근 | Article in Press |
| 2020 | Hyper-personalized customer prediction by machine learning | 박경빈 | Master's Thesis |
| 2012 | Inference of the central subspace through Informative Predictor Subspace | 엄혜연 | Master's Thesis |
| 2023 | Intensive comparison of semi-parametric and non-parametric dimension reduction methods in forward regression | 신민주 | Master's Thesis |
| 2017 | Intensive numerical studies of optimal sufficient dimension reduction with singularity | 유재근 | Article |
| 2021 | Iterative Projection Approach of Fused Sliced Inverse Regression | 한효선 | Master's Thesis |
| 2011 | K-means Clustering Inverse Regression에서의 BIC 선택에 관한 연구 | 안지현 | Master's Thesis |
| 2019 | Korean Food Image Classification Using Machine Learning Techniques | 강민정 | Master's Thesis |
| 2022 | Machine learning approach for study on subway passenger flow | 유재근; 김경원 | Article |
| 2024 | MBRDR: The First R-Package for Response Dimension Reduction in Multivariate Regression with its Extensive Application | 안희성 | Master's Thesis |
| 2022 | Model-based Functional Clustering of Fine Particulate Matter Time Series Data | 장서영 | Master's Thesis |
| 2011 | Model-free predictor tests in survival regression through sufficient dimension reduction | 유재근 | Article |
| 2011 | Modeling microRNA-mRNA interactions using PLS regression in human colon cancer | 유재근 | Article |
| 2019 | Modeling of the ARMA random effects covariance matrix in logistic random effects models | 유재근 | Article |
| 2012 | Modeling the random effects covariance matrix for generalized linear mixed models | 유재근 | Article |
| 2014 | Multivariate seeded dimension reduction | 유재근 | Article |
| 2014 | Non-parametric Variable Selection through Sufficient Dimension Reduction | 이경진 | Master's Thesis |
| 2019 | Note on response dimension reduction for multivariate regression | 유재근 | Article |
| 2018 | Novel Development of Statistical Methodologies for Forecasting and Testing in Linear Model | 송혜진 | Doctoral Thesis |
| 2020 | Numerical Comparison of Hierarchical and K-means Clustering Algorithm in K-means Inverse Regression | 유연주 | Master's Thesis |
| 2023 | On a nonlinear extension of the principal fitted component model | 유재근; 김경원 | Article |
| 2022 | On cross-distance selection algorithm for hybrid sufficient dimension reduction | 유재근; 김경원 | Article |
| 2019 | On fused dimension reduction in multivariate regression | 유재근 | Article |
| 2020 | On hierarchical clustering in sufficient dimension reduction | 유재근 | Article |
| 2017 | On R-package | 김보영 | Master's Thesis |
| 2010 | On the extension of sliced average variance estimation to multivariate regression | 유재근 | Article |
| 2018 | Partial least squares fusing unsupervised learning | 유재근 | Article |
| 2018 | Permutation Dimension Test of Fused Sliced Inverse Regression | 조유나 | Master's Thesis |
| 2014 | Permutation Predictor tests in Linear Regression | 류혜민 | Master's Thesis |
