Yunpu Zeng
Ph.D. Student in Industrial Engineering
Georgia Institute of Technology
Healthcare Operations
Disease Modeling
Microsimulation
GitHub · ORCID · LinkedIn
Publications
A selection of my research publications, manuscripts, and conference presentations.
Manuscripts
Population-Level Burden of Long COVID in the United States: A Wastewater-Informed Modeling Study
Yunpu Zeng, et al.
Manuscript submitted to Nature Communications.
This work develops a population-level framework that combines wastewater-informed estimates of SARS-CoV-2 transmission with Long COVID disease progression modeling to estimate the long-term burden of post-acute COVID conditions in the United States.
Peer-Reviewed Publications
Intra-Subject Respiratory Motion Modeling Based on 4D CT Images via Diffeomorphic Approach
Kunpeng Wang, Yunpu Zeng, Zhichun Ye, Zheng Yang, Sai Cheong Fok
Advances in Information and Communication, Lecture Notes in Networks and Systems, Springer, 2025, pp. 287–299.
This work develops a patient-specific respiratory motion modeling framework using 4D CT images, deformable vector fields, and a diffeomorphic approach for characterizing lung motion across respiratory phases.
Preprints
A CT-Based Airway Segmentation Using U²-Net Trained by the Dice Loss Function
Kunpeng Wang, Yuexi Dong, Yunpu Zeng, Zhichun Ye, Yangzhe Wang
arXiv preprint arXiv:2209.10796, 2022.
This work applies U²-Net to automatic airway tree segmentation from chest CT scans, using Dice loss to address severe class imbalance between airway and non-airway voxels.
Selected Presentations
Long COVID Population-Level Modeling
2026 INFORMS Annual Meeting
Epidemic Modeling and Public Health Response
Wednesday, November 4, 2026
9:30–10:45 AM
Moscone South 105 · San Francisco, California