| Weighted gradient-enhanced kriging for high-dimensional surrogate modeling and design optimization ZH Han, Y Zhang, CX Song, KS Zhang Aiaa Journal 55 (12), 4330-4346, 2017 | 183 | 2017 |
| Efficient aerodynamic shape optimization using variable-fidelity surrogate models and multilevel computational grids HAN Zhonghua, XU Chenzhou, L Zhang, Y Zhang, K Zhang, S Wenping Chinese Journal of Aeronautics 33 (1), 31-47, 2020 | 171 | 2020 |
| Efficient aerodynamic shape optimization of transonic wings using a parallel infilling strategy and surrogate models J Liu, WP Song, ZH Han, Y Zhang Structural and Multidisciplinary Optimization 55, 925-943, 2017 | 160 | 2017 |
| Variable-fidelity expected improvement method for efficient global optimization of expensive functions Y Zhang, ZH Han, KS Zhang Structural and Multidisciplinary Optimization 58, 1431-1451, 2018 | 127 | 2018 |
| Multi-round surrogate-based optimization for benchmark aerodynamic design problems Y Zhang, ZH Han, L Shi, WP Song 54th AIAA Aerospace Sciences Meeting, 1545, 2016 | 53 | 2016 |
| Customized data-driven RANS closures for bi-fidelity LES–RANS optimization Y Zhang, RP Dwight, M Schmelzer, JF Gómez, Z Han, S Hickel Journal of Computational Physics 432, 110153, 2021 | 21 | 2021 |
| Efficient global optimization using multiple infill sampling criteria and surrogate models Y Wang, ZH Han, Y Zhang, WP Song 2018 AIAA Aerospace Sciences Meeting, 0555, 2018 | 15 | 2018 |
| Aerodynamic design of a rectangular wing in subsonic inviscid flow by direct and surrogate-based optimization X Du, A Amrit, AS Thelen, LT Leifsson, Y Zhang, ZH Han, S Koziel 35th AIAA Applied Aerodynamics Conference, 4366, 2017 | 9 | 2017 |
| Multi-fidelity expected improvement based on multi-level hierarchical kriging model for efficient aerodynamic design optimization Y Zhang, Z Han, W Song Engineering Optimization, 1-23, 2024 | 8 | 2024 |
| Surrogate-based optimization applied to benchmark aerodynamic design problems Y Zhang, ZH Han, LT Leifsson 35th AIAA Applied Aerodynamics Conference, 4367, 2017 | 8 | 2017 |
| Investigation on improving efficiency of high-altitude propeller with tandem configuration JH Xu, WP Song, XD Yang, Y Zhang 35th AIAA applied aerodynamics conference, 3575, 2017 | 5 | 2017 |
| Decomposition with adaptive composite norm for evolutionary multi-objective combinatorial optimization R Zheng, Y Wu, G Li, Y Zhang, Z Wang Swarm and Evolutionary Computation 86, 101503, 2024 | 3 | 2024 |
| Batch subproblem coevolution with gaussian process-driven linear models for expensive multi-objective optimization Z Wang, Y Chen, G Li, L Xie, Y Zhang Swarm and Evolutionary Computation 91, 101700, 2024 | 2 | 2024 |
| A new formulation of gradient-enhanced surrogate model and application to aerodynamic design C Song, Z Han, Y Zhang 34th AIAA Applied Aerodynamics Conference, 3869, 2016 | 2 | 2016 |
| CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention H Li, F Liu, Z Zheng, Y Zhang, Z Wang arXiv preprint arXiv:2412.00346, 2024 | 1 | 2024 |
| COMBINING ADJOINT-BASED AND SURROGATE-BASED OPTIMIZATIONS FOR BENCHMARK AERODYNAMIC DESIGN PROBLEMS H Wang, ZH Han, SQ Han, Y Zhang, CZ Xu, WP Song 31st ICAS, 2018-0715, 2018 | 1 | 2018 |
| AutoTurb: Using large language models for automatic algebraic turbulence model discovery Y Zhang, K Zheng, F Liu, Q Zhang, Z Wang Physics of Fluids 37 (1), 2025 | | 2025 |
| An efficient robust aerodynamic design optimization method based on a multi-level hierarchical Kriging model and multi-fidelity expected improvement Y Zhang, Z Han, W Song Aerospace Science and Technology 152, 109401, 2024 | | 2024 |
| A parallel variable-fidelity algorithm for efficient constrained multi-objective aerodynamic design optimization Y Zhang, Z Wang, ZH Han Physics of Fluids 36 (8), 2024 | | 2024 |
