Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration. - Liangliang Zhang; Zhenxiang Jiang; Jongeun Choi; Chae Young Lim; Tapabrata Maiti; Seungik Baek (IEEE J. Biomed. Health Informatics, 2019)

Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications. - Zhenxiang Jiang; Jongeun Choi; Seungik Baek (Comput. Biol. Medicine, 2021)

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Han Zhou 003; Wei Dong 010; Yangyi Liu; Jun Chen 005; Huan Liu 014; Liangyan Li; Zijun Wu; Yubo Dong; et al. (CVPR Workshops, 2023)

A Novel Seven-Class Facial Expression Recognition Method With Face Mask. - Zhenxiang Jiang (ICCAI, 2023)

Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction. - Sekeun Kim; Zhenxiang Jiang; Byron A. Zambrano; Yeonggul Jang; Seungik Baek; Sun K. Yoo; Hyuk-Jae Chang (IEEE Trans. Medical Imaging, 2023)

WS-GCN: Integrating GCN with Weak Supervision for Enhanced 3D Human Pose Estimation. - Zhenxiang Jiang; Yingyu Chen (ICCAI, 2024)

GFlow: Recovering 4D World from Monocular Video. - Shizun Wang; Xingyi Yang; Qiuhong Shen; Zhenxiang Jiang; Xinchao Wang (AAAI, 2025)