| Inverse design optimization framework via a two-step deep learning approach: application to a wind turbine airfoil S Yang, S Lee, K Yee Engineering with Computers, 2022, 2022 | 38 | 2022 |
| Design rule extraction using multi-fidelity surrogate model for unmanned combat aerial vehicles S Yang, K Yee Journal of Aircraft 59 (4), 977-991, 2022 | 25 | 2022 |
| Physics-aware Reduced-order Modeling of Transonic Flow via -Variational Autoencoder YE Kang, S Yang, K Yee Physics of Fluids 34, 076103 (2022), 2022 | 25 | 2022 |
| Exploration of stacked rotor designs for aerodynamics in hover Y Hong, D Lee, S Yang, H Kook, K Yee Aerospace Science and Technology 141, 108557, 2023 | 4 | 2023 |
| Multi-fidelity modeling via regression-based hierarchical kriging S Yang, YE Kang, K Yee Asia-Pacific International Symposium on Aerospace Technology, 643-652, 2021 | 4 | 2021 |
| Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task S Yang, K Yee Engineering Applications of Artificial Intelligence 132 (107871), 2024 | 3* | 2024 |
| Comment on “novel approach for selecting low-fidelity scale factor in multifidelity metamodeling” S Yang, K Yee AIAA Journal 60 (4), 2713-2715, 2022 | 3 | 2022 |
| Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective S Yang, H Kim, Y Hong, K Yee, R Maulik, N Kang arXiv preprint arXiv:2401.08667, 2024 | 2 | 2024 |
| Uncertainty Quantification via Deep Ensembles in Missile Performance Prediction S Yang, K Yee AIAA SCITECH 2023 Forum, 2684, 2023 | 1 | 2023 |
| Multi-Fidelity Optimization via Regression-based Hierarchical Kriging S Yang, YE Kang, K Yee Conference of the Korean Society of Mechanical Engineers, 34-34, 2021 | 1 | 2021 |
| Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction S Yang, V Ricard, K Yee 10.48550/arXiv.2406.03789, 2024 | | 2024 |
| Multi-objective Generative Design Framework and Realization for Quasi-serial Manipulator: Considering Kinematic and Dynamic Performance S Lee, S Yang, N Kang arXiv preprint arXiv:2402.00032, 2024 | | 2024 |
Yu-Eop KangSeoul National University在 snu.ac.kr 的电子邮件经过验证
