Sunwoong Yang

18 papers Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mesh-agnostic prediction of unsteady flow dynamics using graph U-Nets.
Expert Syst. Appl.
Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
2025 J jnl
Model-agnostic AI framework with explicit time integration for long-term fluid dynamics prediction.
J. Comput. Des. Eng.
Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
2025 J jnl
Multi-objective generative design framework and realization for quasi-serial manipulator: Considering kinematic and dynamic performance.
Eng. Appl. Artif. Intell.
Sumin Lee, Sunwoong Yang, Namwoo Kang
2025 J jnl
Node Assigned physics-informed neural networks for thermal-hydraulic system simulation: CVH/FL module.
CoRR
Jeesuk Shin, Cheolwoong Kim, Sunwoong Yang, Minseo Lee, Sung Joong Kim, Joongoo Jeon
2025 J jnl
Physics-Guided Multi-Fidelity DeepONet for Data-Efficient Flow Field Prediction.
CoRR
Sunwoong Yang, Youngkyu Lee, Namwoo Kang
2025 J jnl
Physics-constrained graph neural networks for spatio-temporal prediction of drop impact on OLED display panels.
Expert Syst. Appl.
Jiyong Kim, Jangseop Park, Nayong Kim, Youn-Yeol Yu, Kiseok Chang, ChangSeung Woo, Sunwoong Yang, Namwoo Kang
2024 J jnl
AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble.
CoRR
DongEon Lee, Sunwoong Yang, Jae-Won Oh, Su-Gil Cho, Sanghyuk Kim, Namwoo Kang
2024 J jnl
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective.
CoRR
Sunwoong Yang, Hojin Kim, Yoonpyo Hong, Kwanjung Yee, Romit Maulik, Namwoo Kang
2024 J jnl
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction.
CoRR
Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
2024 J jnl
Multi-objective Generative Design Framework and Realization for Quasi-serial Manipulator: Considering Kinematic and Dynamic Performance.
CoRR
Sumin Lee, Sunwoong Yang, Namwoo Kang
2024 J jnl
Towards Robust Spatio-Temporal Auto-Regressive Prediction: Adams-Bashforth Time Integration with Adaptive Multi-Step Rollout.
CoRR
Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang
2024 J jnl
Towards reliable uncertainty quantification via deep ensemble in multi-output regression task.
Eng. Appl. Artif. Intell.
Sunwoong Yang, Kwanjung Yee
2023 J jnl
Inverse design optimization framework via a two-step deep learning approach: application to a wind turbine airfoil.
Eng. Comput.
Sunwoong Yang, Sanga Lee, Kwanjung Yee
2023 J jnl
Towards Quantifying Calibrated Uncertainty via Deep Ensembles in Multi-output Regression Task.
CoRR
Sunwoong Yang, Kwanjung Yee
2022 J jnl
Physics-aware Reduced-order Modeling of Transonic Flow via β-Variational Autoencoder.
CoRR
Yu-Eop Kang, Sunwoong Yang, Kwanjung Yee
2021 J jnl
Inverse design optimization framework via a two-step deep learning approach: application to a wind turbine airfoil.
CoRR
Sunwoong Yang, Sanga Lee, Kwanjung Yee
2004 — conf
A Study on Methodology for Enhancing Reliability of Datapath.
ICCSA (1)
Sunwoong Yang, MoonJoon Kim, Jaeheung Park, Hoon Chang
2003 — conf
A Study on Insuring the Full Reliability of Finite State Machine.
ICCSA (2)
Sunwoong Yang, MoonJoon Kim, Jaeheung Park, Hoon Chang