Zhenbang Wu

According to our database, Zhenbang Wu authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning.

Jiacheng Lin, Zhenbang Wu, Jimeng Sun

CoRR, May, 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

CoRR, May, 2025

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

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

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models.

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Y. Zou, Huaxiu Yao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Instruction Tuning Large Language Models to Understand Electronic Health Records.

Zhenbang Wu, Anant Dadu, Mike A. Nalls, Faraz Faghri, Jimeng Sun

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multimodal Patient Representation Learning with Missing Modalities and Labels.

Zhenbang Wu, Anant Dadu, Nicholas J. Tustison, Brian B. Avants, Mike A. Nalls, Jimeng Sun, Faraz Faghri

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

An Iterative Self-Learning Framework for Medical Domain Generalization.

Zhenbang Wu, Huaxiu Yao, David M. Liebovitz, Jimeng Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PyHealth: A Deep Learning Toolkit for Healthcare Applications.

Chaoqi Yang, Zhenbang Wu, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin P. Danek, Jimeng Sun

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MedLink: De-Identified Patient Health Record Linkage.

Zhenbang Wu, Cao Xiao, Jimeng Sun

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Knowledge-Driven New Drug Recommendation.

Zhenbang Wu, Huaxiu Yao, Zhe Su, David M. Liebovitz, Lucas M. Glass, James Zou, Chelsea Finn, Jimeng Sun

CoRR, 2022

AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment.

Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022