| Accelerating gradient-based topology optimization design with dual-model artificial neural networks C Qian, W Ye Structural and Multidisciplinary Optimization 63 (4), 1687-1707, 2021 | 56 | 2021 |
| An adaptive artificial neural network-based generative design method for layout designs C Qian, RK Tan, W Ye International Journal of Heat and Mass Transfer 184, 122313, 2022 | 22 | 2022 |
| Design of architectured composite materials with an efficient, adaptive artificial neural network-based generative design method C Qian, RK Tan, W Ye Acta Materialia 225, 117548, 2022 | 17 | 2022 |
| An efficient data generation method for ANN-based surrogate models RK Tan, C Qian, M Wang, W Ye Structural and Multidisciplinary Optimization 65 (3), 90, 2022 | 14 | 2022 |
| An adaptive and scalable artificial neural network-based model-order-reduction method for large-scale topology optimization designs RK Tan, C Qian, K Li, D Xu, W Ye Structural and Multidisciplinary Optimization 65, 348, 2022 | 5* | 2022 |
| An Adaptive Artificial Neural Network-based Deep Generative Design Method C Qian, R Tan, W Ye International Conference on Computational Methods (ICCM) 2021, 2021 | | 2021 |
| Deep learning methods for structure and metamaterial design W Ye, RK Tan, C Qian International Conference on Computational Methods (ICCM) 2019, 2019 | | 2019 |
Wenjing YeProfessor of Mechanical and Aerospace Engineering, Hong Kong University of Science and TechnologyVerified email at ust.hk
