| A hybrid deep learning approach for the design of 2D low porosity auxetic metamaterials C Zhang, J Xie, A Shanian, M Kibsey, YF Zhao Engineering Applications of Artificial Intelligence 123, 106413, 2023 | 10 | 2023 |
| Variant design generation and machine learning aided deformation prediction for auxetic metamaterials C Zhang, A Ridard, M Kibsey, YF Zhao Mechanics of Materials 181, 104642, 2023 | 8 | 2023 |
| Fairness-and uncertainty-aware data generation for data-driven design J Xie, C Zhang, L Sun, YF Zhao International Design Engineering Technical Conferences and Computers and …, 2023 | 6 | 2023 |
| A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling J Xie, C Zhang, M Sage, M Safdar, YF Zhao International Journal of Production Research 62 (12), 4181-4201, 2024 | 5 | 2024 |
| A critical review on the application of machine learning in supporting auxetic metamaterial design C Zhang, YF Zhao Journal of Physics: Materials, 2024 | 3 | 2024 |
| Differentiable Surrogate Models for Design and Trajectory Optimization of Auxetic Soft Robots C Zhang, A Sedal, YF Zhao 2023 IEEE International Conference on Soft Robotics (RoboSoft), 1-8, 2023 | 2 | 2023 |
| Feed-forward decoupling control of solvent-based post-combustion CO2 capture system X Chen, S Shen, C Zhang, P Liao, X Wu 2019 Chinese Automation Congress (CAC), 3970-3974, 2019 | 2 | 2019 |
| Understanding the Impact of Applying Large Language Model in Engineering Design Education C Zhang, YF Zhao, R El Haddad Journal of Computing and Information Science in Engineering 25 (2), 2025 | | 2025 |
