| Surrogate model uncertainty quantification for reliability-based design optimization M Li, Z Wang Reliability Engineering & System Safety 192, 106432, 2019 | 85 | 2019 |
| Deep learning for high-dimensional reliability analysis M Li, Z Wang Mechanical Systems and Signal Processing 139, 106399, 2020 | 77 | 2020 |
| Time-variant reliability-based design optimization using sequential kriging modeling M Li, G Bai, Z Wang Structural and Multidisciplinary Optimization 58, 1051-1065, 2018 | 31 | 2018 |
| Confidence-driven design optimization using Gaussian process metamodeling with insufficient data M Li, Z Wang Journal of Mechanical Design 140 (12), 121405, 2018 | 28 | 2018 |
| LSTM-augmented deep networks for time-variant reliability assessment of dynamic systems M Li, Z Wang Reliability Engineering & System Safety 217, 108014, 2022 | 19 | 2022 |
| Active resource allocation for reliability analysis with model bias correction M Li, Z Wang Journal of Mechanical Design 141 (5), 051403, 2019 | 17 | 2019 |
| An LSTM-based ensemble learning approach for time-dependent reliability analysis M Li, Z Wang Journal of Mechanical Design 143 (3), 031702, 2021 | 15 | 2021 |
| Reliability-based multifidelity optimization using adaptive hybrid learning M Li, Z Wang ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2020 | 14 | 2020 |
| Deep reliability learning with latent adaptation for design optimization under uncertainty M Li, Z Wang Computer Methods in Applied Mechanics and Engineering 397, 115130, 2022 | 11 | 2022 |
| Heterogeneous uncertainty quantification using Bayesian inference for simulation-based design optimization M Li, Z Wang Structural Safety 85, 101954, 2020 | 10 | 2020 |
| Sequential Kriging optimization for time-variant reliability-based design involving stochastic processes M Li, Z Wang International Design Engineering Technical Conferences and Computers and …, 2017 | 6 | 2017 |
| An equivalent reliability index approach for surrogate model-based rbdo M Li, Z Wang, P Wang AIAA Scitech 2019 Forum, 1223, 2019 | 4 | 2019 |
| High-dimensional reliability analysis using deep neural networks M Li, Z Wang AIAA Scitech 2020 Forum, 1150, 2020 | 3 | 2020 |
| LSTM-based ensemble learning for time-dependent reliability analysis M Li, Z Wang International Design Engineering Technical Conferences and Computers and …, 2020 | 2 | 2020 |
| Semi-supervised deep learning for high-dimensional uncertainty quantification Z Wang, M Li International Design Engineering Technical Conferences and Computers and …, 2020 | | 2020 |
| Heterogeneous Uncertainty Quantification for Reliability-Based Design Optimization M Li Michigan Technological University, 2020 | | 2020 |
| NONLINEAR DIELECTRIC BEHAVIOR OF FIELD-INDUCED ANTIFERROELECTRIC/PARAELECTRIC-TO-FERROELECTRIC PHASE TRANSITION FOR HIGH ENERGY DENSITY CAPACITOR APPLICATION M Li | | 2017 |
Zequn WangUESTCVerified email at uestc.edu.cn
Zequn WangUESTCVerified email at uestc.edu.cn