Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression. - Yixiang Deng; Guang Lin; Xiu Yang (CoRR, 2020)

AOSLO-net: A deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope images. - Qian Zhang; Konstantina Sampani; Mengjia Xu; Shengze Cai; Yixiang Deng; He Li; Jennifer K. Sun; George Em Karniadakis (CoRR, 2021)

Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients. - Yixiang Deng; Lu Lu 010; Laura Aponte; Angeliki M. Angelidi; Vera Novak; George Em Karniadakis; Christos S. Mantzoros (npj Digit. Medicine, 2021)

Multiphysics and multiscale modeling of microthrombosis in COVID-19. - He Li; Yixiang Deng; Zhen Li 003; Ander Dorken Gallastegi; Christos S. Mantzoros; Galit H. Frydman; George E. Karniadakis (PLoS Comput. Biol., 2022)

Computational investigation of blood cell transport in retinal microaneurysms. - He Li; Yixiang Deng; Konstantina Sampani; Shengze Cai; Zhen Li 003; Jennifer K. Sun; George E. Karniadakis (PLoS Comput. Biol., 2022)

Deep learning for few-shot white blood cell image classification and feature learning. - Yixiang Deng; He Li (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Short-Term PV Output Forecasting Approach Based on Deep Learning and Singular Spectrum Analysis. - Xingtong Pan; Xiaoyang Wang; Miaolin Yang; Yixiang Deng; Binyang Wang; Yunlin Sun (ICIC (LNAI 2), 2024)