Sitong Zhou

I recently completed my PhD in Electrical & Computer Engineering department at the University of Washington, honored to be advised by Prof. Mari Ostendorf and Prof. Meliha Yetisgen. I build language model applications for understanding and using clinical texts. My thesis focuses on building robust and trustworthy tools to extract clinical information and on using signals from unstructured EHRs for disease prediction. I’m particularly fascinated by the longitudinal nature of EHRs, and have worked on longitudinal EHR summarization and using patients’ longitudinal history to future predict clinical outcomes.

Publications

RadTimeline: Timeline Summarization for Longitudinal Radiological Lung Findings [Video]

Sitong Zhou, Mari Ostendorf, Meliha Yetisgen.

LREC 2026.

Extracting Clinical Information From Unstructured EHRs Using Language Models, and Its Role in Disease Prediction [Slides]

Sitong Zhou.

University of Washington Dissertation.

Traj-CoA: Patient Trajectory Modeling via Chain-of-Agents for Lung Cancer Risk Prediction

Sihang Zeng, Yujuan Fu, Sitong Zhou, Zixuan Yu, Lucas Jing Liu, Jun Wen, Matthew Thompson, Ruth Etzioni, Meliha Yetisgen.

GenAI4Health Workshop at NeurIPS 2025.

Building Blocks for Complex Tasks: Robust Generative Event Extraction for Radiology Reports under Domain Shifts

Sitong Zhou, Meliha Yetisgen, Mari Ostendorf.

ClinicalNLP Workshop at ACL 2023 (Oral Presentation).

HuskyScribe at MEDIQA-Sum 2023: Summarizing Clinical Dialogues with Transformers

Bin Han, Haotian Zhu, Sitong Zhou, Sofia Ahmed, Md. Mushfiqur Rahman, Fei Xia, Kevin Lybarger.

CLEF (Working Notes) 2023.

Generalizing through Forgetting - Domain Generalization for Symptom Event Extraction in Clinical Notes

Sitong Zhou, Kevin Lybarger, Meliha Yetisgen, Mari Ostendorf.

AMIA 2023 (Oral Presentation).

A Corpus of Radiology Reports from Multiple Imaging Modalities with Fine-grained Event-based Annotations

Kevin Lybarger, Namu Park, Sitong Zhou, Aashka Damani, Alison Brennan, Jagjeet Gill, Nianiella Dorvall, Vy Huynh, Spencer Lewis, Martin L Gunn, Özlem Uzuner, Meliha Yetisgen

AMIA 2022.