On Choosing Significant Neuron Clusters. - Young Ju Lee; William A. Porter (IC-AI, 1999)

A Study on the Subjectivity of Sensibility Quality Factors Affecting the Selection of the Smart-Phone. - Young Ju Lee (FGIT-MulGraB/BSBT/IUrC, 2012)

Evaluation of User Sensibility Experience by Comparing the Product Use. - Young Ju Lee (FGIT-MulGraB/BSBT/IUrC, 2012)

Label-Free Detection of Salivary Pepsin Using Gold Nanoparticle/Polypyrrole Nanocoral Modified Screen-Printed Electrode. - Doyeon Lee; Young Ju Lee; Young-Gyu Eun; Gi-Ja Lee (Sensors, 2018)

Optimization of Saliva Collection and Immunochromatographic Detection of Salivary Pepsin for Point-of-Care Testing of Laryngopharyngeal Reflux. - Young Ju Lee; Jiyoon Kwon; Sanggyeong Shin; Young-Gyu Eun; Jae Ho Shin; Gi-Ja Lee (Sensors, 2020)

Locally Conservative Immersed Finite Element Method for Elliptic Interface Problems. - Gwanghyun Jo; Do Young Kwak 001; Young Ju Lee (J. Sci. Comput., 2021)

2D and 3D image reconstruction from slice data based on a constrained bilateral smoothing and dynamic mode decomposition. - Gwanghyun Jo; Young Ju Lee; Iván Ojeda-Ruiz (Appl. Math. Comput., 2022)

Helicity-conservative Physics-informed Neural Network Model for Navier-Stokes Equations. - Ziqian Li; Jiwei Jia; Young Ju Lee; Zheng Lu (CoRR, 2022)

Locally conservative discontinuous bubble scheme for Darcy flow and its application to Hele-Shaw equation based on structured grids. - Yoonjeong Choi; Gwanghyun Jo; Do-Young Kwak 001; Young Ju Lee (Numer. Algorithms, 2023)

Companion-based multi-level finite element method for computing multiple solutions of nonlinear differential equations. - Wenrui Hao; Sun Lee; Young Ju Lee (Comput. Math. Appl., 2024)

An Unconstrained Formulation of Some Constrained Partial Differential Equations and its Application to Finite Neuron Methods. - Jiwei Jia; Young Ju Lee; Ruitong Shan (CoRR, 2024)

Green Multigrid Network. - Ye Lin; Young Ju Lee; Jiwei Jia (CoRR, 2024)

fOGA: Orthogonal Greedy Algorithm for Fractional Laplace Equations. - Ruitong Shan; Young Ju Lee; Jiwei Jia (CoRR, 2024)

Greedy Algorithm for Neural Networks for Indefinite Elliptic Problems. - Qingguo Hong; Jiwei Jia; Young Ju Lee; Ziqian Li (CoRR, 2024)

Orthogonal greedy algorithm for linear operator learning with shallow neural network. - Ye Lin; Jiwei Jia; Young Ju Lee; Ran Zhang (J. Comput. Phys., 2025)

Positivity and Maximum Principle Preserving Discontinuous Galerkin Finite Element Schemes for a Coupled Flow and Transport. - Shihua Gong; Young Ju Lee; Yukun Li; Yue Yu (J. Sci. Comput., 2025)

R-PINN: Recovery-type a-posteriori estimator enhanced adaptive PINN. - Rongxin Lu; Jiwei Jia; Young Ju Lee; Zheng Lu; Chensong Zhang (CoRR, 2025)