Global sensitivity analysis with a hierarchical sparse metamodeling method W Zhao, L Bu Mechanical Systems and Signal Processing 115, 769-781, 2019 | 13 | 2019 |
Tensor train-Karhunen-Loève expansion: New theoretical and algorithmic frameworks for representing general non-Gaussian random fields LZ Bu, W Zhao, W Wang Computer Methods in Applied Mechanics and Engineering 367, 113121, 2020 | 4 | 2020 |
Efficient single-grid and multi-grid solvers for real-space orbital-free density functional theory LZ Bu, W Wang Computer Physics Communications 290, 108778, 2023 | 3 | 2023 |
Sparse partial least squares regression-polynomial chaos expansion metamodeling method W ZHAO, L BU, W WANG Engineering Mechanics 35 (9), 44-53, 2018 | 3 | 2018 |
Second order hierarchical partial least squares regression-polynomial chaos expansion for global sensitivity and reliability analyses of high-dimensional models LZ Bu, W Zhao, W Wang arXiv preprint arXiv:1901.11295, 2019 | 2 | 2019 |
Tensor train-Karhunen-Lo\eve expansion for continuous-indexed random fields using higher-order cumulant functions LZ Bu, W Zhao, W Wang arXiv preprint arXiv:1907.06304, 2019 | | 2019 |
A NEW ADAPTIVE SPARSE POLYNOMIAL CHAOS EXPANSION METHOD FOR STRUCTURAL RELIABILITY ANALYSIS W Zhao, L Bu, W Wang | | 2018 |