Physics-aware Reduced-order Modeling of Transonic Flow via β-Variational Autoencoder. - Yu-Eop Kang; Sunwoong Yang; Kwanjung Yee (CoRR, 2022)

Investigation of Operable Conditions and Excess Battery Energy for Quadrotors Under Wind Turbulence. - Hyeongseok Kim; Daejin Lim; Kwanjung Yee (J. Intell. Robotic Syst., 2022)

Towards Quantifying Calibrated Uncertainty via Deep Ensembles in Multi-output Regression Task. - Sunwoong Yang; Kwanjung Yee (CoRR, 2023)

Compact and Intuitive Airfoil Parameterization Method through Physics-aware Variational Autoencoder. - Yu-Eop Kang; Dawoon Lee; Kwanjung Yee (CoRR, 2023)

Inverse design optimization framework via a two-step deep learning approach: application to a wind turbine airfoil. - Sunwoong Yang; Sanga Lee; Kwanjung Yee (Eng. Comput., 2023)

Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective. - Sunwoong Yang; Hojin Kim; Yoonpyo Hong; Kwanjung Yee; Romit Maulik; Namwoo Kang (CoRR, 2024)

Towards reliable uncertainty quantification via deep ensemble in multi-output regression task. - Sunwoong Yang; Kwanjung Yee (Eng. Appl. Artif. Intell., 2024)

Development of agent-based mesh generator for flow analysis using deep reinforcement learning. - Keunoh Lim; Kyungjae Lee; Sanga Lee; Kwanjung Yee (Eng. Comput., 2024)

Intuitive and feasible geometric representation of airfoil using variational autoencoder. - Yu-Eop Kang; Dawoon Lee; Kwanjung Yee (J. Comput. Des. Eng., 2025)