14. A sparse empirical Bayes approach to high-dimensional Gaussian process-based varying coefficient models, Kim Myungjin, Neural Networks, 2024

13. Improved weight initialization for deep and narrow feedforward neural network, Yang Seung Yeop, Topology and its Applications, 2024

12. On geometric realizations of the extreme Khovanov homology of pretzel links, Yang Seung Yeop,Topology and its Applications, 2024

11. Effective data reduction alogrithm for topological data analysis, Yang Seung Yeop, Applied Mathematics and Computation,2024

10. Objective Bayesian multiple testing for k normal populations, Kim Yong Ku, Journal of the korean statistical society, 2024

09. Nonparametric Bayesian modeling for non-normal data through a transformation, Kim Yong Ku, AIMS Mathematics, 2024

08. Machine learning of kesterite materials using cost-effective hybrid density functional theory, Kim Sooran, Current Applied Physics, 2024

07. An Ab Initio Study of the Origin of Structural Stability in P2-NaMnO2 with Li Doping at High Voltage, Kim Sooran, the Journal of Physical Chemistry Letters, 2024