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Chun-Nan Hsu

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MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation

Oct 27, 2023
Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu

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Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models

Oct 04, 2023
An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian McAuley

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"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion

May 15, 2023
Zexue He, An Yan, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu

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Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction

Aug 20, 2022
Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian McAuley, Chun-Nan Hsu

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Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction

Oct 24, 2021
William Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Vazquez Baeza, Andrew Bartko, Chun-Nan Hsu

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Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation

Sep 25, 2021
An Yan, Zexue He, Xing Lu, Jiang Du, Eric Chang, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu

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Theoretical Knowledge Graph Reasoning via Ending Anchored Rules

Dec 15, 2020
Canlin Zhang, Yannis Katsis, Yoshiki Vazquez-Baeza, Andrew Bartko, Ho-Cheol Kim, Chun-Nan Hsu

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Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays

Oct 06, 2020
Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian McAuley

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