About Me

Hi, I’m Guanchen Wu. I am a Ph.D. student in Computer Science at Emory University, where I am fortunate to be advised by Prof. Carl Yang. I earned my M.S. degree in Computer Science from Emory University in May 2025 and received B.S. degree in Computer Science from the University of California, Irvine in March 2023.

My research interests span AI4Health, large language models (LLMs), and graph data mining. Recently, I’ve begun exploring LLM agents and multimodal models for healthcare.

You can find my CV here: Guanchen Wu’s Curriculum Vitae.

Email / Github / Google Scholar / LinkedIn

News

• 09/2026: Our work on knowledge graph-guided missing MRI imputation for Alzheimer’s disease prediction has been accepted to BHI 2026!
• 08/2026: Our work EpiQAL has been accepted to EMNLP 2026!
• 05/2026: Our work EHRBench has been accepted to KDD 2026(Oral)!
• 01/2026: Our recent work on benchmarking LLMs for evidence-grounded epidemiological question answering is available at preprint!
• 10/2025: Our work on multi-agent automatic evaluation and model selection for PHI de-identification has been accepted to Agents4Science 2025 as Spotlight!
• 10/2025: Our work on medical ontology extension using LLMs has been accepted to BIBM 2025!
• 05/2025: Our work on explaining Text-Attributed Graph learning models has been accepted to ACL 2025!
• 05/2025: I have successfully completed my Master’s degree in Computer Science at Emory University.
• 04/2025: The complete paper on LLM-empowered Protected Health Information (PHI) annotation is available at preprint (accepted by MedInfo 2025).
• 03/2025: One paper on LLM-empowered Protected Health Information (PHI) annotation has been accepted to MedInfo 2025.
• 03/2025: I’m excited to continue my journey at Emory as a PhD student in Computer Science, beginning in September 2025.
• 10/2024: Our work on explaining Text-Attributed Graph learning models is available at preprint!
• 09/2024: One paper on ontology extension has been accepted to Frontiers in Big Data.

Recent Readings

• What Life Could Mean to You (Alfred Adler)
• The Razor’s Edge (William Somerset Maugham)
• Language Agents: From Next-Token Prediction to Digital Automation (Shunyu Yao)