3 papers
cs.LG2026
Knowledge-guided generative surrogate modeling for high-dimensional design optimization under scarce data
Bingran Wang, Seongha Jeong, Sebastiaan P. C. van Schie +3
Surrogate models are widely used in mechanical design and manufacturing process optimization, where high-fidelity computational models may be unavailable or prohibitively expensive…
stat.ML2025
Spline Dimensional Decomposition with Interpolation-based Optimal Knot Selection for Stochastic Dynamic Analysis
Yeonsu Kim, Junhan Lee, Bingran Wang +2
Forward uncertainty quantification in dynamical systems is challenging due to non-smooth or locally oscillating nonlinear behaviors. Spline dimensional decomposition (SDD) addresse…
cs.CE2025
A comparative study of uncertainty quantification methods in gust response analysis of a Lift-Plus-Cruise eVTOL aircraft wing
Bingran Wang, Michael Warner, Aoran Tian +2
Wind gusts, being inherently stochastic, can significantly influence the safety and performance of aircraft. This study investigates a three-dimensional uncertainty quantification…