| 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 | 154 | 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 | 125 | 2020 |
| 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 | 71 | 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 | 64 | 2020 |
| 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 | 52 | 2019 |
| 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 | 49 | 2020 |
| 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 | 48 | 2020 |
| A novel dual-stream self-attention neural network for remaining useful life estimation of mechanical systems D Xu, H Qiu, L Gao, Z Yang, D Wang Reliability Engineering & System Safety 222, 108444, 2022 | 41 | 2022 |
| 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 | 41 | 2019 |
| An improved two-stage framework of evidence-based design optimization J Zhang, M Xiao, L Gao, H Qiu, Z Yang Structural and Multidisciplinary Optimization 58, 1673-1693, 2018 | 41 | 2018 |
| Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization Z Yang, H Qiu, L Gao, L Chen, J Liu Information Sciences 639, 119016, 2023 | 31 | 2023 |
| A surrogate-assisted particle swarm optimization algorithm based on efficient global optimization for expensive black-box problems Z Yang, H Qiu, L Gao, X Cai, C Jiang, L Chen Engineering Optimization 51 (4), 549-566, 2019 | 26 | 2019 |
| Explicit topology optimization of novel polyline-based core sandwich structures using surrogate-assisted evolutionary algorithm S Chu, Z Yang, M Xiao, H Qiu, K Gao, L Gao Computer Methods in Applied Mechanics and Engineering 369, 113215, 2020 | 24 | 2020 |
| A surrogate-assisted differential evolution for expensive constrained optimization problems involving mixed-integer variables Y Liu, Z Yang, D Xu, H Qiu, L Gao Information Sciences 622, 282-302, 2023 | 18 | 2023 |
| A general framework of surrogate-assisted evolutionary algorithms for solving computationally expensive constrained optimization problems Z Yang, H Qiu, L Gao, D Xu, Y Liu Information Sciences 619, 491-508, 2023 | 15 | 2023 |
| Exploiting active subspaces of hyperparameters for efficient high-dimensional Kriging modeling L Chen, H Qiu, L Gao, Z Yang, D Xu Mechanical Systems and Signal Processing 169, 108643, 2022 | 15 | 2022 |
| Constraint boundary pursuing-based surrogate-assisted differential evolution for expensive optimization problems with mixed constraints Z Yang, H Qiu, L Gao, L Chen, X Cai Structural and Multidisciplinary Optimization 66 (2), 40, 2023 | 12 | 2023 |
| A novel surrogate-assisted differential evolution for expensive optimization problems with both equality and inequality constraints Z Yang, H Qiu, L Gao, C Jiang, L Chen, X Cai 2019 IEEE Congress on Evolutionary Computation (CEC), 1688-1695, 2019 | 12 | 2019 |
| An efficient method for designing high-performance planetary roller screw mechanism with low contact stress X Du, S Lu, R Tang, X Li, J Miao, L Wu, Z Yang, B Chen Tribology International 187, 108709, 2023 | 10 | 2023 |
| Incorporating gradient information into dimension perturbation mutation for high-dimensional expensive optimization Z Yang, S Chu, J Liu, H Qiu, M Xiao, L Gao Swarm and Evolutionary Computation 84, 101446, 2024 | 9 | 2024 |
