| A sequential constraints updating approach for Kriging surrogate model-assisted engineering optimization design problem J Qian, J Yi, Y Cheng, J Liu, Q Zhou Engineering with Computers 36, 993-1009, 2020 | 118 | 2020 |
| An active-learning method based on multi-fidelity Kriging model for structural reliability analysis J Yi, F Wu, Q Zhou, Y Cheng, H Ling, J Liu Structural and Multidisciplinary Optimization 63, 173-195, 2021 | 65 | 2021 |
| Efficient adaptive Kriging-based reliability analysis combining new learning function and error-based stopping criterion J Yi, Q Zhou, Y Cheng, J Liu Structural and Multidisciplinary Optimization 62, 2517-2536, 2020 | 51 | 2020 |
| An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems P Jiang, Y Cheng, J Yi, J Liu Information Sciences 569, 728-745, 2021 | 28 | 2021 |
| A novel fidelity selection strategy-guided multifidelity kriging algorithm for structural reliability analysis J Yi, Y Cheng, J Liu Reliability Engineering & System Safety 219, 108247, 2022 | 23 | 2022 |
| An entropy weight-based lower confidence bounding optimization approach for engineering product design J Qian, J Yi, J Zhang, Y Cheng, J Liu Applied Sciences 10 (10), 3554, 2020 | 14 | 2020 |
| A sequential multi-fidelity surrogate model-assisted contour prediction method for engineering problems with expensive simulations J Liu, J Yi, Q Zhou, Y Cheng Engineering with Computers, 1-19, 2022 | 13 | 2022 |
| Cooperative data-driven modeling A Dekhovich, OT Turan, J Yi, MA Bessa Computer Methods in Applied Mechanics and Engineering 417, 116432, 2023 | 7 | 2023 |
| An enhanced variable-fidelity optimization approach for constrained optimization problems and its parallelization J Cheng, Q Lin, J Yi Structural and Multidisciplinary Optimization 65 (7), 188, 2022 | 7 | 2022 |
| A fast forecast method based on high and low fidelity surrogate models for strength and stability of stiffened cylindrical shell with variable ribs J Yi, J Liu, Y Cheng 2018 IEEE 8th international conference on underwater system technology …, 2018 | 7 | 2018 |
| Optimum-pursuing method for constrained optimization and reliability-based design optimization problems using Kriging model Z Meng, L Kong, J Yi, H Peng Computer Methods in Applied Mechanics and Engineering 420, 116704, 2024 | 5 | 2024 |
| An adaptive constraint-handling approach for optimization problems with expensive objective and constraints J Yi, Y Cheng, J Liu 2020 IEEE congress on evolutionary computation (CEC), 1-8, 2020 | 4 | 2020 |
| SBSC+ SRU: an error-guided adaptive Kriging method for expensive system reliability analysis J Yi, Y Cheng, J Liu Structural and Multidisciplinary Optimization 65 (5), 134, 2022 | 3 | 2022 |
| rvesimulator: An automated representative volume element simulator for data-driven material discovery J Yi, MA Bessa AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 2023 | 2 | 2023 |
| Genetic optimization method of ship strong frame based on sequential surrogate model J WANG, Y WANG, J YI, T HAN, P JIANG, J WU, Y CHENG, J LIU Chinese Journal of Ship Research 16 (4), 2021 | 1 | 2021 |
| Practical multi-fidelity machine learning: fusion of deterministic and Bayesian models J Yi, J Cheng, MA Bessa arXiv preprint arXiv:2407.15110, 2024 | | 2024 |
| Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits J Cheng, B Xue, J Yi, Q Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11489 …, 2024 | | 2024 |
| A robust optimization method based on previous optimization knowledge LYU Guochen, C Yuansheng, YI Jiaxiang, LIU Jun Chinese Journal of Ship Research 17 (2), 148-155, 2022 | | 2022 |
| Cooperative data-driven modeling: continual learning of different material behavior A Dekhovich, OT Turan, J Yi, MA Bessa Workshop on''Machine Learning for Materials''ICLR 2023, 0 | | |
Qi ZhouProfessor, Huazhong University of Science and Technology/Visiting scholar at GT/ICL在 hust.edu.cn 的电子邮件经过验证
