| Integrated deep learning-based online layer-wise surface prediction of additive manufacturing E Yangue, Z Ye, C Kan, C Liu Manufacturing Letters 35, 760-769, 2023 | 5 | 2023 |
| Diffusion generative model-based learning for smart layer-wise monitoring of additive manufacturing E Yangue, D Fullington, O Smith, W Tian, C Liu Journal of Computing and Information Science in Engineering 24 (6), 060903, 2024 | 2 | 2024 |
| Advancing additive manufacturing through deep learning: A comprehensive review of current progress and future challenges AI Saimon, E Yangue, X Yue, C Liu arXiv preprint arXiv:2403.00669, 2024 | 1 | 2024 |
| Toward Smart Ultrasound Image Augmentation to Advance Tumor Treatment Monitoring: Exploring the Potential of Diffusion Generative Model E Yangue, A Ranjan, Y Feng, C Liu Journal of Medical Devices, 1-28, 2024 | | 2024 |
| Leveraging small-scale datasets for additive manufacturing process modeling and part certification: Current practice and remaining gaps D Fullington, E Yangue, MM Bappy, C Liu, W Tian Journal of Manufacturing Systems, 2024 | | 2024 |
| Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges A Islam Saimon, E Yangue, X Yue, C Liu arXiv e-prints, arXiv: 2403.00669, 2024 | | 2024 |
| Integrated Deep Learning Based Online Layer-Wise Surface Prediction of Additive Manufacturing YEM Pierre Oklahoma State University, 2023 | | 2023 |
