A Study on Insuring the Full Reliability of Finite State Machine. - Sunwoong Yang; MoonJoon Kim; JaeHeung Park; Hoon Chang (ICCSA (2), 2003)

A Study on Methodology for Enhancing Reliability of Datapath. - Sunwoong Yang; MoonJoon Kim; JaeHeung Park; Hoon Chang (ICCSA (1), 2004)

Physics-aware Reduced-order Modeling of Transonic Flow via β-Variational Autoencoder. - Yu-Eop Kang; Sunwoong Yang; Kwanjung Yee (CoRR, 2022)

Towards Quantifying Calibrated Uncertainty via Deep Ensembles in Multi-output Regression Task. - Sunwoong Yang; Kwanjung Yee (CoRR, 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)

Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective. - Sunwoong Yang; Hojin Kim; Yoonpyo Hong; Kwanjung Yee; Romit Maulik; Namwoo Kang (CoRR, 2024)

Multi-objective Generative Design Framework and Realization for Quasi-serial Manipulator: Considering Kinematic and Dynamic Performance. - Sumin Lee; Sunwoong Yang; Namwoo Kang (CoRR, 2024)

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

Towards Robust Spatio-Temporal Auto-Regressive Prediction: Adams-Bashforth Time Integration with Adaptive Multi-Step Rollout. - Sunwoong Yang; Ricardo Vinuesa; Namwoo Kang (CoRR, 2024)

Towards reliable uncertainty quantification via deep ensemble in multi-output regression task. - Sunwoong Yang; Kwanjung Yee (Eng. Appl. Artif. Intell., 2024)

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)

Physics-Guided Multi-Fidelity DeepONet for Data-Efficient Flow Field Prediction. - Sunwoong Yang; Youngkyu Lee; Namwoo Kang (CoRR, 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, 2025)