Shun Liu

I'm an incoming CS PhD student at Virginia Commonwealth University, Richmond VA, United States, advised by Prof. Nan Xi. Prior to that, I obtained the B.E. from Shanghai University of Finance and Economics. During the undergraduate study, I was fortunate to be advised by Prof. David Doermann and Dr. Xuan Gong at the State University of New York at Buffalo (UB), and Prof. Soroush Vosoughi at Dartmouth College.

My research interests lies in the area of Generative Modeling and Multimodel Reasoning, as well as their applications in the biomedical domain, w.r.t. the reliability, interpretability, and generalization ability.

Email / Google Scholar / Github

Aug. 2026 - , Department of Computer Science, Virginia Commonwealeth University

PhD Student

Sep. 2021 - Jun. 2025 , School of Computing And Artificial Intelligence, Shanghai University of Finance and Economics

B.E. Computer Science

MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models

Thao Minh Nguyen Phan, Cong-Tinh Dao, Chenwei Wu, Jian-Zhe Wang, Shun Liu, Jun-En Ding, David Restrepo, Feng Liu, Fang-Ming Hung, Wen-Chih Peng
CIKM, 2024, [Project Page] [Paper] [Code]

We propose MEDFuse, a multimodal EHR fusion framework integrating masked lab-test modeling and fine-tuned LLMs to unify structured lab results and unstructured clinical notes. Evaluated on MIMIC-III and internal FEMH datasets, MEDFuse reaches over 90% F1 score on 10-disease multi-label classification for reliable clinical prediction.

Dec. 2024 - Apr. 2026, ExcitAI

Topics: 3DGS For Scene Reconstruction

Mar. 2024 - Jun. 2024, Cardinal Operations

Topics: Agents for High-Dimension Feature Engineering

Mar. 2024 - Dec. 2024, University at Buffalo

Topics: Biomedical Vision Foundation Models

Oct. 2023 - Jan. 2024, Dartmouth College

Topics: LLM Reliability, Fairness