Data analytic approach for bankruptcy prediction. - Hwijae Son; C. Hyun; Du Phan; Hyung Ju Hwang (Expert Syst. Appl., 2019)

Deep neural network approach to forward-inverse problems. - Hyeontae Jo; Hwijae Son; Hyung Ju Hwang; Eun Heui Kim (Networks Heterog. Media, 2020)

Explainability of Machine Learning Models for Bankruptcy Prediction. - Min Sue Park; Hwijae Son; Chongseok Hyun; Hyung Ju Hwang (IEEE Access, 2021)

Sobolev Training for the Neural Network Solutions of PDEs. - Hwijae Son; Jin Woo Jang; Woo Jin Han; Hyung Ju Hwang (CoRR, 2021)

Lagrangian dual framework for conservative neural network solutions of kinetic equations. - Hyung Ju Hwang; Hwijae Son (CoRR, 2021)

Traveling Wave Solutions of Partial Differential Equations Via Neural Networks. - Sung Woong Cho; Hyung Ju Hwang; Hwijae Son (J. Sci. Comput., 2021)

AL-PINNs: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks. - Hwijae Son; Sung Woong Cho; Hyung Ju Hwang (CoRR, 2022)

Physics-Informed Neural Networks for Microprocessor Thermal Management Model. - Hwijae Son; Hyunwoo Cho; Hyung Ju Hwang (IEEE Access, 2023)

Enhanced physics-informed neural networks with Augmented Lagrangian relaxation method (AL-PINNs). - Hwijae Son; Sung Woong Cho; Hyung Ju Hwang (Neurocomputing, 2023)

The deep minimizing movement scheme. - Min Sue Park; Cheolhyeong Kim; Hwijae Son; Hyung Ju Hwang (J. Comput. Phys., 2023)

Cultural Heritage Knowledge Graph and Recommender System. - Jaeseung Kim; Jiwon Lee; Hwijae Son (ICTC, 2024)

Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems. - Sung Woong Cho; Hwijae Son (ICLR, 2025)

ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines. - Hwijae Son (IEEE Access, 2025)