Mortar method for nonconforming finite elements. - Kyungsoo Kim 002; Dokkyun Yi; Sungyun Lee (Appl. Math. Comput., 2005)

Fourth-order partial differential equations for image enhancement. - Dokkyun Yi; Sungyun Lee (Appl. Math. Comput., 2006)

Convergence of a fixed point iteration method for the OSV model. - Dokkyun Yi; Do-Hyung Kim; Eunyoun Kim; Sung-Dae Yang (Appl. Math. Comput., 2009)

An effective method for solving nonlinear equations and its application. - Dokkyun Yi; Booyong Choi; Eunyoun Kim (Appl. Math. Comput., 2013)

An Iterative Scheme for Total Variation-Based Image Denoising. - Dokkyun Yi (J. Sci. Comput., 2014)

Development of semi-Lagrangian gyrokinetic code for full-f turbulence simulation in general tokamak geometry. - Jae-Min Kwon; Dokkyun Yi; Xiangfan Piao 001; Philsu Kim (J. Comput. Phys., 2015)

An Iteration Free Backward Semi-Lagrangian Scheme for Guiding Center Problems. - Xiangfan Piao 001; Sang Dong Kim; Philsu Kim; Jae-Min Kwon; Dokkyun Yi (SIAM J. Numer. Anal., 2015)

Experimental Study on Image Interpolation for Concealed Object Detection. - Dokkyun Yi; Su-Yeon Kim; Seokwon Yeom; Mun-Kyo Lee; Sang-Won Jung (MFI, 2017)

A mass conservative scheme for solving the Vlasov-Poisson equation using characteristic curve. - Dokkyun Yi; Sunyoung Bu (J. Comput. Appl. Math., 2017)

An Enhanced Algorithm of RNN Using Trend in Time-Series. - Dokkyun Yi; Sunyoung Bu; Inmi Kim (Symmetry, 2019)

An Enhanced Optimization Scheme Based on Gradient Descent Methods for Machine Learning. - Dokkyun Yi; Sangmin Ji; Sunyoung Bu (Symmetry, 2019)

Analysis of Recurrent Neural Network and Predictions. - Jieun Park; Dokkyun Yi; Sangmin Ji (Symmetry, 2020)

A Novel Learning Rate Schedule in Optimization for Neural Networks and It's Convergence. - Jieun Park; Dokkyun Yi; Sangmin Ji (Symmetry, 2020)

Robust Deep Support Vector Data Description for Unreliable Data. - Tai Le Gia; Dokkyun Yi; Jaehyun Ahn (BCD, 2022)