| Adaptive stochastic resonance in bistable system driven by noisy NLFM signal: phenomenon and application C Yang, J Yang, D Zhou, S Zhang, G Litak Philosophical Transactions of the Royal Society A 379 (2192), 20200239, 2021 | 28 | 2021 |
| On bearing fault diagnosis by nonlinear system resonance S Zhang, J Yang, J Zhang, H Liu, E Hu Nonlinear Dynamics 98, 2035-2052, 2019 | 26 | 2019 |
| Enhanced Kriging leave-one-out cross-validation in improving model estimation and optimization Y Pang, Y Wang, X Lai, S Zhang, P Liang, X Song Computer Methods in Applied Mechanics and Engineering 414, 116194, 2023 | 18 | 2023 |
| Time-frequency analysis of a new aperiodic resonance J Yang, S Zhang, MAF Sanjuán, H Liu Communications in Nonlinear Science and Numerical Simulation 85, 105258, 2020 | 15 | 2020 |
| An expensive many-objective optimization algorithm based on efficient expected hypervolume improvement Y Pang, Y Wang, S Zhang, X Lai, W Sun, X Song IEEE Transactions on Evolutionary Computation 27 (6), 1822-1836, 2022 | 13 | 2022 |
| Stochastic resonance in an overdamped system with a fractional power nonlinearity: Analytical and re-scaled analysis S Zhang, Y Yao, Z Zhu, J Yang, G Shen The European Physical Journal Plus 134, 1-13, 2019 | 13 | 2019 |
| A Kriging-assisted global reliability-based design optimization algorithm with a reliability-constrained expected improvement Y Pang, X Lai, S Zhang, Y Wang, L Yang, X Song Applied Mathematical Modelling 121, 611-630, 2023 | 9 | 2023 |
| On the ensemble of surrogate models by minimum screening index S Zhang, Y Pang, P Liang, X Song Journal of Mechanical Design 144 (7), 071707, 2022 | 9 | 2022 |
| Recursive surrogate model based on generalized regression neural network S Zhang, K Li, S Wang, J Li, Y Pang, X Song Applied Soft Computing 145, 110576, 2023 | 7 | 2023 |
| Multi-fidelity surrogate model ensemble based on feasible intervals S Zhang, P Liang, Y Pang, J Li, X Song Structural and Multidisciplinary Optimization 65 (8), 212, 2022 | 6 | 2022 |
| An adaptive ensemble of surrogate models based on heuristic model screening X Lai, Y Pang, S Zhang, W Sun, X Song Structural and Multidisciplinary Optimization 65 (12), 351, 2022 | 5 | 2022 |
| Stochastic resonance and self-induced stochastic resonance in bearing fault diagnosis S Zhang, J Yang, C Wang, H Liu, C Yang Fluctuation and Noise Letters 20 (06), 2150047, 2021 | 5 | 2021 |
| A Pointwise-Optimal Ensemble of Surrogate Models P Liang, S Zhang, Y Pang, J Li, X Song Journal of Mechanical Design 145 (11), 2023 | 3 | 2023 |
| Extracting weak multi-frequency signal in heavy colored noise C Yang, J Yang, S Zhang, H Liu Journal of the Brazilian Society of Mechanical Sciences and Engineering 42, 1-12, 2020 | 3 | 2020 |
| Linear frequency modulated signal induced aperiodic resonance Y Zhai, J Yang, S Zhang, H Liu Physica Scripta 95 (6), 065213, 2020 | 3 | 2020 |
| Ensemble learning based hierarchical surrogate model for multi-fidelity information fusion Y Wang, Y Pang, T Xue, S Zhang, X Song Advanced Engineering Informatics 60, 102535, 2024 | 2 | 2024 |
| GAS-AU: an average uncertainty-based general adaptive sampling approach S Zhang, P Liang, J Li, X Song Engineering with Computers 40 (2), 839-853, 2024 | 1 | 2024 |
| Surrogate-assisted expensive constrained Bi-objective optimization with highly heterogeneous evaluations Y Pang, X Lai, Y Wang, X He, S Zhang, X Song Swarm and Evolutionary Computation 83, 101401, 2023 | 1 | 2023 |
| MID-ESM: An Adaptive Median-Based Ensemble of Surrogate Models J Li, S Zhang, P Liang, X Lai, X Song Journal of Mechanical Design, 1-23, 2023 | 1 | 2023 |
| Surrogate-assisted expensive constrained bi-objective optimization with extremely heterogeneous evaluations Y Pang, X Lai, Y Wang, X He, S Zhang, X Song Available at SSRN 4349375, 0 | 1 | |
Xueguan Song (宋学官)School of Mechanical Engineering, Dalian University of Technology在 dlut.edu.cn 的电子邮件经过验证
