Research
This page highlights selected publications (focused on recent works) and recently submitted papers (under review & revision), focusing on topics we aim to expand, generalize, or further explore. The purpose of sharing this list is primarily to foster collaboration and communication. The complete list of all papers and projects is always available upon request.
Selected Publications
2025
- ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization EffectThe 39th Annual AAAI Conferenec on Artificial Intelligence, 2025
2024
- Effect of dimensionality on convergence rates of kernel ridge regression estimatorJournal of Statistical Planning and Inference, 2024
- Dynamics of COVID-19 risk perception and predictors in South Korea: a two-year longitudinal study from the pandemic’s beginning (2020-2021)Jouranl of Risk Research, 2024
- An adaptive neural network regression method for structure identificationJournal of Computational and Graphical Statistics, 2024
2023
- Minimax density estimation under radial symmetryIEEE Access, 2023
- Minimax estimation in multi-task regression under low-rank structuresJournal of Nonparametric Statistics, 2023
- Intrinsic spherical smoothing method based on generalized Bezier curves and sparsity inducing penalizationJournal of Applied Statistics, 2023
2022
- Sparse neural network regression with variable selectionComputational Intelligence, 2022
- Penalized additvie neural network regressionIntelligent Data Analysis, 2022
- Additive regression splines with total variation and non negative garrote penaltiesCommunications in Statistics - Theory and Methods, 2022
- Linear Methodology (선형방법론)Freedom Academy, 2022
2021
- Nonparametric matrix regression function estimation over symmetric positive definite matricesJournal of the Korean Statistical Society, 2021
- Penalized logspline density estimation using total variation penaltyComputational Statistics & Data Analysis, 2021
Recently Submitted Papers (Under Review & Revision)
Last updated: November 22, 2024.
- Comparison of cognitive and affective dimensions of multi-risk perception according to sociodemographic characteristics in a South Korean population
Political party preference, accountability, and risk perception: Crowd crush in South Korea
Linear covariance selelction model via ℓ1 penalization
Minimax optimality of kernel ridge regression when kernel eigenvalues decay polynomially or exponentially
Calibrating a simulated exposure distribution
spheresmooth: a penalized piecewie geodeisc curve fitting on a sphere
Adaptive log-wavelet density estimation with resolution identification
Super-precision change point detection using weighted total variation penalty
Low-dimension adaptive neural network regression with directional change dDetection via nuclear norm Penalization
Nonparametric multi-task regression under group sparsity and low-rank structures
Dimensionality reduction in nultivariate nonparametric regression via nuclear norm penalization
Multi-task nonparametric regression under joint sparsity