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.
Sep 2023: Our paper “An Iterative Self-Learning Framework for Medical Domain Generalization” is accepted by NeurIPS 2023!
Jun 2023: I will join NIH for the summer internship.
Jun 2023: Our paper “MedLink: De-Identified Patient Health Record Linkage” is accepted by KDD 2023!
May 2023: Our software “PyHealth” is accepted by KDD 2023 Hands-on Tutorial Track!
An Iterative Self-Learning Framework for Medical Domain GeneralizationNeurIPS 2023 Zhenbang Wu, Huaxiu Yao, David M Liebovitz, Jimeng Sun
MedLink: De-Identified Patient Health Record LinkageKDD 2023 Zhenbang Wu, Cao Xiao, Jimeng Sun [paper] [code]
PyHealth: A Deep Learning Toolkit For Healthcare ApplicationsKDD 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 TextEMNLP 2022 Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun [paper] [code]
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model DeploymentECML-PKDD 2022 Zhenbang Wu, Cao Xiao, Lucas M Glass, David M Liebovitz, Jimeng Sun [paper]
Knowledge-Driven New Drug RecommendationPreprint (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 LabelsPreprint Zhenbang Wu, Anant Dadu, Nicholas Tustison, Brian Avants, Mike Nalls, Jimeng Sun, Faraz Faghri
Machine Learning Research Intern, with Dr. Faraz Faghri & Dr. Mike Nalls
May 2023 - Present
Machine Learning Research Intern, with Dr. Lucas M Glass
Patient record linkage
May 2022 - Aug 2022