MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. - Zifeng Wang 008; Zhenbang Wu; Dinesh Agarwal; Jimeng Sun 001 (EMNLP, 2022)

AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. - Zhenbang Wu; Cao Xiao; Lucas M. Glass; David M. Liebovitz; Jimeng Sun 001 (ECML/PKDD (2), 2022)

Knowledge-Driven New Drug Recommendation. - Zhenbang Wu; Huaxiu Yao; Zhe Su; David M. Liebovitz; Lucas M. Glass; James Zou 001; Chelsea Finn; Jimeng Sun 001 (CoRR, 2022)

MedLink: De-Identified Patient Health Record Linkage. - Zhenbang Wu; Cao Xiao; Jimeng Sun 001 (KDD, 2023)

PyHealth: A Deep Learning Toolkit for Healthcare Applications. - Chaoqi Yang; Zhenbang Wu; Patrick Jiang; Zhen Lin 001; Junyi Gao; Benjamin P. Danek; Jimeng Sun 001 (KDD, 2023)

An Iterative Self-Learning Framework for Medical Domain Generalization. - Zhenbang Wu; Huaxiu Yao; David M. Liebovitz; Jimeng Sun 001 (NeurIPS, 2023)

Multimodal Patient Representation Learning with Missing Modalities and Labels. - Zhenbang Wu; Anant Dadu; Nicholas J. Tustison; Brian B. Avants; Mike A. Nalls; Jimeng Sun 001; Faraz Faghri (ICLR, 2024)

Instruction Tuning Large Language Models to Understand Electronic Health Records. - Zhenbang Wu; Anant Dadu; Mike A. Nalls; Faraz Faghri; Jimeng Sun 001 (NeurIPS, 2024)

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. - Peng Xia 005; Ze Chen; Juanxi Tian; Yangrui Gong; Ruibo Hou; Yue Xu; Zhenbang Wu; Zhiyuan Fan; Yiyang Zhou; Kangyu Zhu; Wenhao Zheng; Zhaoyang Wang 004; et al. (NeurIPS, 2024)

MCCANet: A multispectral class-constraint attentional neural network for object detection in mining scenes. - Zhenbang Wu; Hengkai Li; Yuqing Wang; Beiping Long (Expert Syst. Appl., 2024)

Robust Multisource Forest Point Cloud Registration With Distribution Similarity Analysis. - Xiangjiang Liu; Huabing Huang; Daile Wang; Zhenbang Wu; Peimin Chen; Sheng Ding; Xinlian Liang; Tianhong Yang (IEEE Trans. Geosci. Remote. Sens., 2025)

Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding. - Hanyin Wang; Zhenbang Wu; Gururaj Kolar; Hariprasad Korsapati; Brian Bartlett; Bryan Hull; Jimeng Sun 001 (CoRR, 2025)

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning. - Jiacheng Lin; Zhenbang Wu; Jimeng Sun 001 (CoRR, 2025)