Hwijae Son

According to our database, Hwijae Son authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SoFoNO: Arbitrary-scale image super-resolution via Sobolev Fourier neural operator.

Jong Kwon Oh, Hwijae Son, Hyung Ju Hwang, Jihyong Oh

Neurocomputing, 2026

Offline Data-Driven Recommender Systems for Improving Small Business Marketing Strategies.

Hwijae Son, Sung Woong Cho, Hyung Ju Hwang

Big Data, 2026

2025

Sobolev acceleration for neural networks.

Jong Kwon Oh, Hanbaek Lyu, Hwijae Son

CoRR, September, 2025

ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines.

Hwijae Son

IEEE Access, 2025

Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems.

Sung Woong Cho, Hwijae Son

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Cultural Heritage Knowledge Graph and Recommender System.

Jaeseung Kim, Jiwon Lee, Hwijae Son

Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

2023

The deep minimizing movement scheme.

Min Sue Park, Cheolhyeong Kim, Hwijae Son, Hyung Ju Hwang

J. Comput. Phys., December, 2023

Enhanced physics-informed neural networks with Augmented Lagrangian relaxation method (AL-PINNs).

Hwijae Son, Sung Woong Cho, Hyung Ju Hwang

Neurocomputing, 2023

Physics-Informed Neural Networks for Microprocessor Thermal Management Model.

Hwijae Son, Hyunwoo Cho, Hyung Ju Hwang

IEEE Access, 2023

2022

AL-PINNs: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks.

Hwijae Son, Sung Woong Cho, Hyung Ju Hwang

CoRR, 2022

2021

Traveling Wave Solutions of Partial Differential Equations Via Neural Networks.

Sung Woong Cho, Hyung Ju Hwang, Hwijae Son

J. Sci. Comput., 2021

Lagrangian dual framework for conservative neural network solutions of kinetic equations.

Hyung Ju Hwang, Hwijae Son

CoRR, 2021

Sobolev Training for the Neural Network Solutions of PDEs.

Hwijae Son, Jin Woo Jang, Woo Jin Han, Hyung Ju Hwang

CoRR, 2021

Explainability of Machine Learning Models for Bankruptcy Prediction.

Min Sue Park, Hwijae Son, Chongseok Hyun, Hyung Ju Hwang

IEEE Access, 2021

2020

Deep neural network approach to forward-inverse problems.

Hyeontae Jo, Hwijae Son, Hyung Ju Hwang, Eun Heui Kim

Networks Heterog. Media, 2020

2019

Data analytic approach for bankruptcy prediction.

Hwijae Son, C. Hyun, Du Phan, Hyung Ju Hwang

Expert Syst. Appl., 2019