| Bounds optimization of model response moments: a twin-engine Bayesian active learning method P Wei, F Hong, KK Phoon, M Beer Computational Mechanics 67, 1273-1292, 2021 | 15 | 2021 |
| A sequential sampling-based Bayesian numerical method for reliability-based design optimization F Hong, P Wei, J Fu, M Beer Reliability Engineering & System Safety 244, 109939, 2024 | 4 | 2024 |
| Collaborative and adaptive Bayesian optimization for bounding variances and probabilities under hybrid uncertainties F Hong, P Wei, J Song, MA Valdebenito, MGR Faes, M Beer Computer Methods in Applied Mechanics and Engineering 417, 116410, 2023 | 4 | 2023 |
| Combining Bayesian active learning and conditional Gaussian process simulation for propagating mixed uncertainties through expensive computer simulators J Fu, F Hong, P Wei, Z Guo, Y Xu, W Gao Aerospace Science and Technology 139, 108363, 2023 | 3 | 2023 |
| Combining data and physical models for probabilistic analysis: A Bayesian Augmented Space Learning perspective F Hong, P Wei, J Song, MGR Faes, MA Valdebenito, M Beer Probabilistic Engineering Mechanics 73, 103474, 2023 | 2 | 2023 |
| A new acquisition function combined with subset simulation for active learning of small and time-dependent failure probability F Hong, P Wei, J Fu, Y Xu, W Gao Structural and Multidisciplinary Optimization 66 (4), 72, 2023 | 1 | 2023 |
| Parallelization of adaptive Bayesian cubature using multimodal optimization algorithms F Hong, P Wei, M Beer Engineering Computations 41 (2), 413-437, 2024 | | 2024 |
| A Collaborative Bayesian Optimization Method for estimation of failure probability bounds under mixed uncertainties F Hong, P Wei, J Song, M Valdebenito, M Faes, M Beer | | |
