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. Prior to this, I received my bachelor’s degree from Zhejiang University and the University of Illinois Urbana-Champaign.
My research focuses on enhancing the generalizability, adaptability, and reproducibility of deep learning algorithms. I am particularly interested in healthcare applications, such as longitudinal health predictive modeling and multimodal patient representation learning.
News
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Sep 2023: Our paper “An Iterative Self-Learning Framework for Medical Domain Generalization” is accepted by NeurIPS 2023!
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Jun 2023: I will join NIH for the summer internship.
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Jun 2023: Our paper “MedLink: De-Identified Patient Health Record Linkage” is accepted by KDD 2023!
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May 2023: Our software “PyHealth” is accepted by KDD 2023 Hands-on Tutorial Track!
Publications & Preprints
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An Iterative Self-Learning Framework for Medical Domain Generalization
NeurIPS 2023 Zhenbang Wu, Huaxiu Yao, David M Liebovitz, Jimeng Sun -
MedLink: De-Identified Patient Health Record Linkage
KDD 2023 Zhenbang Wu, Cao Xiao, Jimeng Sun [paper] [code] -
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] [code] -
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
EMNLP 2022 Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun [paper] [code] -
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] -
Multimodal Patient Representation Learning with Missing Modalities and Labels
Preprint Zhenbang Wu, Anant Dadu, Nicholas Tustison, Brian Avants, Mike Nalls, Jimeng Sun, Faraz Faghri
Softwares
Internship Experiences
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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 - Present
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IQVIA, Remote, USA
Machine Learning Research Intern, with Dr. Lucas M Glass
Patient record linkage
May 2022 - Aug 2022