Publications

Journal papers (Published)

J1. Yangue, E., Tian, W., Feng, Y., and Liu, C., 2025. “Noise-Conditioned Adversarial Diffusion Denoising Implicit Model (NCA-DDIM) for Data Augmentation in Engineering Applications”. IEEE Transactions on Automation Science and Engineering; 23, pp.2075-2090. https://doi.org/10.1109/TASE.2025.3641161

• This work received the Best Doctoral Forum Poster Award in SIAM SDM 24

J2. Yangue, E., Ranjan, A., Feng, Y., and Liu, C., 2024. "Toward Smart Ultrasound Image Augmentation to Advance Tumor Treatment Monitoring: Exploring the Potential of Diffusion Generative Model." ASME. Journal of Medical Devices; 18(3): 031006. https://doi.org/10.1115/1.4065905

J3. Yangue, E., Fullington, D., Smith, O., Tian, W., and Liu, C., 2024. "Diffusion generative model-based learning for smart layer-wise monitoring of additive manufacturing". ASME Journal of Computing and Information Science in Engineering; 24(6): 060903. https://doi.org/10.1115/1.4065092

J4. Fullington, D., Yangue, E., Bappy, M., Liu, C., and Tian, W., 2024. "Leveraging Small-scale Datasets for Additive Manufacturing Process Modeling and Part Certification: Current Practice and Remaining Gap". Journal of Manufacturing Systems; 75(1), 306-321.  https://doi.org/10.1016/j.jmsy.2024.04.021

J5. Saimon, A.I., Yangue, E., Yue, X., Kong, Z.J., and Liu, C., 2026. "Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges". IISE Transactions; 58(1), 33–56. https://doi.org/10.1080/24725854.2024.2443592

Conference papers (Published)

C1.  Yangue, E., O’Connor, E., and Liu, C., 2025. "Addressing Class Imbalance in Diabetic Retinopathy Detection: An Enhanced Diffusion-Resampling Data Augmentation Approach". 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE 2025); Los Angeles, USA, August 17-21, 2025, pp. 1323-1329. https://doi.org/10.1109/CASE58245.2025.11164047

• This work received the Best Poster Award at CADRE 2025 

• This work received the 1st place award at the 2025 OSU IEM Student Research Symposium

C2.  Oskolkov, B., Yangue, E., Tian W., Kan C., Liu, C., 2025. "Kolmogorov-Arnold Networks (KAN)-enabled Incremental Learning for Online Process Monitoring of Additive Manufacturing". 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE 2025); Los Angeles, USA, August 17-21, 2025, pp. 1396-1402. https://doi.org/10.1109/CASE58245.2025.11164003

C3.  Yangue, E., Li, Y., Ranjan, A., and Liu, C.,2024. "An Adaptive Image Segmentation Approach for Tumor Region Identification in Ultrasound Images". 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); Orlando, USA, July 15-19, 2024, pp. 1-6. https://doi.org/10.1109/EMBC53108.2024.10782614

• This work received the NextGen Scholar Award at the IEEE EMBC 2024

C4. O’Connor, E., Yangue, E., Feng, Y., Wu, H., and Liu, C.,2024. "Towards Personalized Inhalation Therapy by Correlating Chest CT Imaging and Pulmonary Function Test Features Using Machine Learning". 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); Orlando, USA, July 15-19, 2024, pp. 1-6. https://doi.org/10.1109/EMBC53108.2024.10781590

• O'Connor presented this work and won the 2nd place award of Undergraduate Student Technical Paper Competition, at the 2024 IISE South Central Regional Conference

• O'Connor presented this work and won the 1st place award at the 2024 OSU IEM Student Research Symposium

• O'Connor presented this work and won the Grand Prize at the 2025 Research Day at the Oklahoma State Capitol

C5. Yangue, E., Ye, Z., Kan, C. and Liu, C., 2023. "Integrated deep learning-based online layer-wise surface prediction of additive manufacturing". Presented at the 51st North American Manufacturing Research Conference (NAMRC), Rutgers University, New Brunswick, New Jersey, June 12-16, 2023, Manufacturing Letters; 35, pp.760-769. https://doi.org/10.1016/j.mfglet.2023.08.108

• This work received the 2024 IISE Graduate Research Award

• This work received the 2024 OSU Graduate Research Excellence Award

P.1  NSF: PFI-RP: Improving Inhaler Design and Efficacy with a Novel AI-assisted Digital Human Testing Platform

P.2 OCAST Health Research Program: AI-enabled real-time imaging and diagnosis technique for effective drug   delivery in solid tumor treatment 

P.3  Empowering Cloud Computing for Non-image-based Diabetic Retinopathy Screening by Designing an EHR-            oriented Incremental Learning Framework