| High-precision computation of optical propagation in inhomogeneous waveguides J Zhu, G Wang JOSA A 32 (9), 1653-1660, 2015 | 7 | 2015 |
| Efficient spectral stochastic finite element methods for Helmholtz equations with random inputs G Wang, Q Liao GLOBAL SCIENCE PRESS 9 (3), 2019 | 5 | 2019 |
| Localized stochastic Galerkin methods for Helmholtz problems close to resonance G Wang, F Xue, Q Liao International Journal for Uncertainty Quantification 11 (5), 2021 | 3 | 2021 |
| Fast computation of wave propagation in the open acoustical waveguide with a curved interface J Zhu, G Wang Wave Motion 57, 171-181, 2015 | 2 | 2015 |
| Estimating Failure Probability with Neural Operator Hybird Approach M Li, Y Feng, G Wang Mathematics 11 (12), 2762, 2023 | 1 | 2023 |
| Reduced basis stochastic Galerkin methods for partial differential equations with random inputs G Wang, Q Liao Applied Mathematics and Computation 463, 128375, 2024 | | 2024 |
| ANOVA-GP Modeling for High-Dimensional Bayesian Inverse Problems X Shi, H Zhang, G Wang Mathematics 12 (2), 301, 2024 | | 2024 |
| An Adaptive ANOVA Stochastic Galerkin Method for Partial Differential Equations with High-dimensional Random Inputs G Wang, S Sahu, Q Liao Journal of Scientific Computing 98 (1), 24, 2024 | | 2024 |
| Stochastic Finite Element Methods with the Euclidean Degree for Partial Differential Equations with Random Inputs Q Huang, K Li, G Wang, Q Liao, X Du 2020 Chinese Control And Decision Conference (CCDC), 634-640, 2020 | | 2020 |
| An adaptive hybrid spectral method for stochastic Helmholtz problems G Wang, Q Liao GLOBAL SCIENCE PRESS 13 (4), 2020 | | 2020 |
| New computational treatment of optical wave propagation in lossy waveguides J Zhu, G Wang Frontiers of Information Technology & Electronic Engineering 16 (8), 646-653, 2015 | | 2015 |
Qifeng LiaoVerified email at mit.edu
