Local Stability and Performance of Simple Gradient Penalty mu-Wasserstein GAN. - Cheolhyeong Kim; Seungtae Park; Hyung Ju Hwang (CoRR, 2018)

Fault detection and identification method using observer-based residuals. - Haedong Jeong; Bumsoo Park; Seungtae Park; Hyungcheol Min; Seungchul Lee (Reliab. Eng. Syst. Saf., 2019)

Local Stability of Wasserstein GANs With Abstract Gradient Penalty. - Cheolhyeong Kim; Seungtae Park; Hyung Ju Hwang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Anomaly Detection in Time Series Data and its Application to Semiconductor Manufacturing. - Rakhoon Hwang; Seungtae Park; Youngwook Bin; Hyung Ju Hwang (IEEE Access, 2023)

Solving PDEs on Point Clouds by Physics-Informed Learning with Graph Neural Networks. - Rakhoon Hwang; Junseung Ryu; Seungtae Park; Hyung Ju Hwang (ECAI, 2024)

Airknee: An Ultra-Lightweight and Backdrivable Unilateral Knee Exoskeleton. - Seungtae Park; Wonsuk Shin; Bummo Ahn; Suncheol Kwon (UR, 2025)

Enhancing Fourier Neural Operators with CNNs architectures: Pooling, groupwise convolution and inverted block. - Seungtae Park; Heejoon Jeon; Hyung Ju Hwang (Neurocomputing, 2025)

A Physics-Informed Neural Network framework for solving PDEs on point clouds via surface reconstruction. - Junseung Ryu; Seungtae Park; Hyung Ju Hwang (Neural Networks, 2025)