| A general failure-pursuing sampling framework for surrogate-based reliability analysis C Jiang, H Qiu, Z Yang, L Chen, L Gao, P Li Reliability Engineering & System Safety 183, 47-59, 2019 | 146 | 2019 |
| Real-time estimation error-guided active learning Kriging method for time-dependent reliability analysis C Jiang, H Qiu, L Gao, D Wang, Z Yang, L Chen Applied Mathematical Modelling 77, 82-98, 2020 | 117 | 2020 |
| A sequential calibration and validation framework for model uncertainty quantification and reduction C Jiang, Z Hu, Y Liu, ZP Mourelatos, D Gorsich, P Jayakumar Computer Methods in Applied Mechanics and Engineering 368, 113172, 2020 | 85 | 2020 |
| An adaptive hybrid single-loop method for reliability-based design optimization using iterative control strategy C Jiang, H Qiu, L Gao, X Cai, P Li Structural and Multidisciplinary Optimization 56, 1271-1286, 2017 | 85 | 2017 |
| An efficient surrogate-assisted particle swarm optimization algorithm for high-dimensional expensive problems X Cai, H Qiu, L Gao, C Jiang, X Shao Knowledge-Based Systems 184, 104901, 2019 | 74 | 2019 |
| A stochastic process discretization method combing active learning Kriging model for efficient time-variant reliability analysis D Zhang, P Zhou, C Jiang, M Yang, X Han, Q Li Computer Methods in Applied Mechanics and Engineering 384, 113990, 2021 | 67 | 2021 |
| An active failure-pursuing Kriging modeling method for time-dependent reliability analysis C Jiang, D Wang, H Qiu, L Gao, L Chen, Z Yang Mechanical Systems and Signal Processing 129, 112-129, 2019 | 66 | 2019 |
| Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems Z Yang, H Qiu, L Gao, X Cai, C Jiang, L Chen Information Sciences 508, 50-63, 2020 | 58 | 2020 |
| Iterative reliable design space approach for efficient reliability-based design optimization C Jiang, H Qiu, X Li, Z Chen, L Gao, P Li Engineering with Computers 36, 151-169, 2020 | 50 | 2020 |
| R2-RRT*: Reliability-based robust mission planning of off-road autonomous ground vehicle under uncertain terrain environment C Jiang, Z Hu, ZP Mourelatos, D Gorsich, P Jayakumar, Y Fu, M Majcher IEEE Transactions on Automation Science and Engineering 19 (2), 1030-1046, 2021 | 49 | 2021 |
| A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems L Chen, H Qiu, L Gao, C Jiang, Z Yang Applied Mathematical Modelling 69, 15-31, 2019 | 48 | 2019 |
| A single-loop Kriging coupled with subset simulation for time-dependent reliability analysis D Wang, H Qiu, L Gao, C Jiang Reliability Engineering & System Safety 216, 107931, 2021 | 47 | 2021 |
| EEK-SYS: system reliability analysis through estimation error-guided adaptive Kriging approximation of multiple limit state surfaces C Jiang, H Qiu, L Gao, D Wang, Z Yang, L Chen Reliability Engineering & System Safety 198, 106906, 2020 | 46 | 2020 |
| Optimization of expensive black-box problems via Gradient-enhanced Kriging L Chen, H Qiu, L Gao, C Jiang, Z Yang Computer Methods in Applied Mechanics and Engineering 362, 112861, 2020 | 43 | 2020 |
| Global and local Kriging limit state approximation for time-dependent reliability-based design optimization through wrong-classification probability C Jiang, Y Yan, D Wang, H Qiu, L Gao Reliability Engineering & System Safety 208, 107431, 2021 | 41 | 2021 |
| Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems Z Yang, H Qiu, L Gao, C Jiang, J Zhang Journal of Global Optimization 74, 327-359, 2019 | 38 | 2019 |
| Ensemble of surrogates with hybrid method using global and local measures for engineering design L Chen, H Qiu, C Jiang, X Cai, L Gao Structural and Multidisciplinary Optimization 57, 1711-1729, 2018 | 38 | 2018 |
| A two-stage support vector regression assisted sequential sampling approach for global metamodeling C Jiang, X Cai, H Qiu, L Gao, P Li Structural and Multidisciplinary Optimization 58, 1657-1672, 2018 | 29 | 2018 |
| Time-dependent reliability analysis through projection outline-based adaptive Kriging D Wang, C Jiang, H Qiu, J Zhang, L Gao Structural and Multidisciplinary Optimization 61, 1453-1472, 2020 | 28 | 2020 |
| Surrogate modeling of nonlinear dynamic systems: a comparative study Y Zhao, C Jiang, MA Vega, MD Todd, Z Hu Journal of Computing and Information Science in Engineering 23 (1), 011001, 2023 | 27 | 2023 |
Liang GAOProfessor of Industrial Engineering, Huazhong University of Science and Technology在 mail.hust.edu.cn 的电子邮件经过验证
