Sunwoong Yang

According to our database, Sunwoong Yang authored at least 18 papers between 2003 and 2026.

Collaborative distances:

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

2026

Point-wise conditional diffusion models for physical systems with shape variations: Applications to spatio-temporal and large-scale systems.

Jiyong Kim, Sunwoong Yang, Namwoo Kang

Neural Networks, 2026

Mesh-agnostic prediction of unsteady flow dynamics using graph U-Nets.

Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang

Expert Syst. Appl., 2026

Rigid-deformation decomposition AI framework for 3D spatio-temporal prediction of vehicle collision dynamics.

Sanghyuk Kim, Minsik Seo, Sunwoong Yang, Namwoo Kang

Adv. Eng. Informatics, 2026

2025

Node Assigned physics-informed neural networks for thermal-hydraulic system simulation: CVH/FL module.

Jeesuk Shin, Cheolwoong Kim, Sunwoong Yang, Minseo Lee, Sung Joong Kim, Joongoo Jeon

CoRR, April, 2025

Physics-Guided Multi-Fidelity DeepONet for Data-Efficient Flow Field Prediction.

Sunwoong Yang, Youngkyu Lee, Namwoo Kang

CoRR, March, 2025

Model-agnostic AI framework with explicit time integration for long-term fluid dynamics prediction.

Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang

J. Comput. Des. Eng., 2025

Physics-constrained graph neural networks for spatio-temporal prediction of drop impact on OLED display panels.

Jiyong Kim, Jangseop Park, Nayong Kim, Youn-Yeol Yu, Kiseok Chang, ChangSeung Woo, Sunwoong Yang, Namwoo Kang

Expert Syst. Appl., 2025

Multi-objective generative design framework and realization for quasi-serial manipulator: Considering kinematic and dynamic performance.

Sumin Lee, Sunwoong Yang, Namwoo Kang

Eng. Appl. Artif. Intell., 2025

2024

Towards reliable uncertainty quantification via deep ensemble in multi-output regression task.

Sunwoong Yang, Kwanjung Yee

Eng. Appl. Artif. Intell., 2024

Towards Robust Spatio-Temporal Auto-Regressive Prediction: Adams-Bashforth Time Integration with Adaptive Multi-Step Rollout.

Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang

CoRR, 2024

AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble.

Dongeon Lee, Sunwoong Yang, Jae-Won Oh, Su-Gil Cho, Sanghyuk Kim, Namwoo Kang

CoRR, 2024

Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction.

Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang

CoRR, 2024

Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective.

Sunwoong Yang, Hojin Kim, Yoonpyo Hong, Kwanjung Yee, Romit Maulik, Namwoo Kang

CoRR, 2024

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

Towards Quantifying Calibrated Uncertainty via Deep Ensembles in Multi-output Regression Task.

Sunwoong Yang, Kwanjung Yee

CoRR, 2023

2022

Physics-aware Reduced-order Modeling of Transonic Flow via β-Variational Autoencoder.

Yu-Eop Kang, Sunwoong Yang, Kwanjung Yee

CoRR, 2022

2004

A Study on Methodology for Enhancing Reliability of Datapath.

Sunwoong Yang, MoonJoon Kim, JaeHeung Park, Hoon Chang

Proceedings of the Computational Science and Its Applications, 2004

2003

A Study on Insuring the Full Reliability of Finite State Machine.

Sunwoong Yang, MoonJoon Kim, JaeHeung Park, Hoon Chang

Proceedings of the Computational Science and Its Applications, 2003