Zhenbang Wu
- University of Illinois Urbana-Champaign
- Ph.D. Candidate in Computer Science
- zw12@illinois.edu
I am a Ph.D. candidate in Computer Science at the University of Illinois Urbana-Champaign. I am fortunate to be advised by Prof. Jimeng Sun. Before this, I received dual bachelor’s degrees from Zhejiang University and the University of Illinois Urbana-Champaign.
[Research] My research focuses on developing foundation models—such as large language models and multimodal models—to interpret complex, multimodal, and longitudinal health data.
[Application] I co-lead the development of PyHealth, an open-source toolkit for predictive modeling with multimodal clinical data. It has received over 1K stars and 140K downloads on GitHub.
Selected Publications & Preprints (Google Scholar)
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Instruction Tuning Large Language Models to Understand Electronic Health Records
NeurIPS 2024 Datasets and Benchmarks Track (Spotlight) Zhenbang Wu, Anant Dadu, Mike Nalls, Faraz Faghri†, Jimeng Sun†[paper] -
Multimodal Patient Representation Learning with Missing Modalities and Labels
ICLR 2024 Zhenbang Wu, Anant Dadu, Nicholas Tustison, Brian Avants, Mike Nalls, Jimeng Sun, Faraz Faghri [paper] -
An Iterative Self-Learning Framework for Medical Domain Generalization
NeurIPS 2023 Zhenbang Wu, Huaxiu Yao, David M Liebovitz, Jimeng Sun [paper] -
MedLink: De-Identified Patient Health Record Linkage
KDD 2023 Zhenbang Wu, Cao Xiao, Jimeng Sun [paper] -
PyHealth: A Deep Learning Toolkit For Healthcare Applications
KDD 2023 Hands-on Tutorial Chaoqi Yang*, Zhenbang Wu*, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin Danek, Jimeng Sun [paper] -
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
EMNLP 2022 Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun [paper] -
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment
ECML-PKDD 2022 Zhenbang Wu, Cao Xiao, Lucas M Glass, David M Liebovitz, Jimeng Sun [paper] -
Knowledge-Driven New Drug Recommendation
Preprint (short version presented in the NeurIPS 2022 Workshop on Meta-Learn) Zhenbang Wu, Huaxiu Yao, Zhe Su, David M Liebovitz, Lucas M Glass, James Zou, Chelsea Finn, Jimeng Sun [paper]
Software
Internship Experiences
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Meta, Burlingame, CA, USA
Research Scientist Intern, with Dr. Sujeeth Bharadwaj & Dr. Pei Yin
Foundation model for bio-signals
May 2024 - Aug 2024
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National Institutes of Health, Bethesda, MD, USA
Machine Learning Research Intern, with Dr. Faraz Faghri & Dr. Mike Nalls
Multimodal learning
May 2023 - May 2024
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IQVIA, Remote, USA
Machine Learning Research Intern, with Dr. Lucas M Glass
Patient record linkage
May 2022 - Aug 2022