Aokun Chen

33 papers A 2C 1Misc 1Journal 23Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Brief Review on Benchmarking for Large Language Models Evaluation in Healthcare.
WIREs Data. Mining. Knowl. Discov.
Leona Cilar Budler, Hongyu Chen, Aokun Chen, Maxim Topaz, Wilson Tam, Jiang Bian, Gregor Stiglic
2025 — conf
Clinical Trial Eligibility Criteria Decomposition and Parsing with Large Language Models.
MedInfo
Hongyu Chen, Lingfei Qian, Xing He, Aokun Chen, Yu Huang, Qinling Gou, Yuxuan Wang, Yan Wang, Xuguang Ai, Yujia Zhou, Inessa Cohen, Qingyu Chen, Hua Xu, Jiang Bian
2025 J jnl
From image to report: automating lung cancer screening interpretation and reporting with vision-language models.
J. Biomed. Informatics
Tien-Yu Chang, Qinglin Gou, Leyi Zhao, Tiancheng Zhou, Hongyu Chen, Dong Yang, Huiwen Ju, Kaleb E. Smith, Chengkun Sun, Jinqian Pan, Yu Huang, Xing He, Xuhong Zhang, Daguang Xu, Jie Xu, Jiang Bian, Aokun Chen
2025 — conf
Improving Medical Visual Instruction Tuning with Labeled Datasets.
MedAGI
Amin Dada, Amanda Butler Contreras, Constantin Seibold, Osman Alperen Koras, Julius Keyl, Aokun Chen, Cheng Peng, Alexander Brehmer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jens Kleesiek
2025 J jnl
Medical foundation large language models for comprehensive text analysis and beyond.
npj Digit. Medicine
Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Kuttichi Keloth, Xinyu Zhou, Lingfei Qian, Huan He, Dennis L. Shung, Lucila Ohno-Machado, Yonghui Wu, Hua Xu, Jiang Bian
2024 J jnl
Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization.
Informatics
Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian
2024 J jnl
Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models.
J. Heal. Informatics Res.
Shuang Yang, Xi Yang, Tianchen Lyu, James L. Huang, Aokun Chen, Xing He, Dejana Braithwaite, Hiren J. Mehta, Yonghui Wu, Yi Guo, Jiang Bian
2024 J jnl
Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data.
CoRR
Aokun Chen, Qian Li, Yu Huang, Yongqiu Li, Yu-Neng Chuang, Xia Hu, Serena Guo, Yonghui Wu, Yi Guo, Jiang Bian
2024 J jnl
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need.
J. Am. Medical Informatics Assoc.
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu
2024 — conf
Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing.
ICHI
Aokun Chen, Daniel Paredes, Zehao Yu, Xiwei Lou, Roberta Brunson, Jamie N. Thomas, Kimberly A. Martinez, Robert J. Lucero, Tanja Magoc, Laurence M. Solberg, Urszula Alina Snigurska, Sarah E. Ser, Mattia Prosperi, Jiang Bian, Ragnhildur I. Bjarnadottir, Yonghui Wu
2024 J jnl
Me LLaMA: Foundation Large Language Models for Medical Applications.
CoRR
Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Kuttichi Keloth, Xingyu Zhou, Huan He, Lucila Ohno-Machado, Yonghui Wu, Hua Xu, Jiang Bian
2024 J jnl
Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction.
J. Biomed. Informatics
Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu
2024 — conf
UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models.
BioNLP@ACL
Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen, Jiang Bian, Yonghui Wu
2024 J jnl
UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models.
CoRR
Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen, Jiang Bian, Yonghui Wu
2023 J jnl
A Study of Generative Large Language Model for Medical Research and Healthcare.
CoRR
Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima M. Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
2023 J jnl
A study of generative large language model for medical research and healthcare.
npj Digit. Medicine
Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima M. Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
2023 J jnl
Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures.
CoRR
Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu
2023 J jnl
Contextualized medication information extraction using Transformer-based deep learning architectures.
J. Biomed. Informatics
Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu
2023 — conf
Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients.
ICHI
Aokun Chen, Qian Li, Elizabeth Shenkman, Yonghui Wu, Yi Guo, Jiang Bian
2023 J jnl
Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need.
CoRR
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu
2023 J jnl
Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing.
CoRR
Aokun Chen, Daniel Paredes, Zehao Yu, Xiwei Lou, Roberta Brunson, Jamie N. Thomas, Kimberly A. Martinez, Robert J. Lucero, Tanja Magoc, Laurence M. Solberg, Urszula Alina Snigurska, Sarah E. Ser, Mattia Prosperi, Jiang Bian, Ragnhildur I. Bjarnadottir, Yonghui Wu
2023 J jnl
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction.
CoRR
Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu
2023 — conf
On the Impact of Cross-Domain Data on German Language Models.
EMNLP (Findings)
Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
2023 J jnl
On the Impact of Cross-Domain Data on German Language Models.
CoRR
Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
2022 J jnl
A large language model for electronic health records.
npj Digit. Medicine
Xi Yang, Aokun Chen, Nima M. Pournejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B. Costa, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu
2022 Misc conf
Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials.
AMIA
Aokun Chen, Qian Li, Xing He, Michael Jaffee, William R. Hogan, Fei Wang, Yi Guo, Jiang Bian
2022 J jnl
Learning Fast and Slow: Propedeutica for Real-Time Malware Detection.
IEEE Trans. Neural Networks Learn. Syst.
Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li
2022 J jnl
Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles.
IEEE Trans. Biom. Behav. Identity Sci.
Luiz Giovanini, Fabrício Ceschin, Mirela Silva, Aokun Chen, Ramchandra Kulkarni, Sanjay Banda, Madison Lysaght, Heng Qiao, Nikolaos Sapountzis, Ruimin Sun, Brandon Matthews, Dapeng Oliver Wu, André Grégio, Daniela Oliveira
2021 J jnl
Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles.
CoRR
Luiz Giovanini, Fabrício Ceschin, Mirela Silva, Aokun Chen, Ramchandra Kulkarni, Sanjay Banda, Madison Lysaght, Heng Qiao, Nikolaos Sapountzis, Ruimin Sun, Brandon Matthews, Dapeng Oliver Wu, André Grégio, Daniela Oliveira
2018 A conf
FAROS: Illuminating In-memory Injection Attacks via Provenance-Based Whole-System Dynamic Information Flow Tracking.
DSN
Meisam Navaki Arefi, Geoffrey Alexander, Hooman Rokham, Aokun Chen, Michalis Faloutsos, Xuetao Wei, Daniela Seabra Oliveira, Jedidiah R. Crandall
2017 J jnl
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection.
CoRR
Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li
2016 A conf
Bear: A Framework for Understanding Application Sensitivity to OS (Mis) Behavior.
ISSRE
Ruimin Sun, Andrew Lee, Aokun Chen, Donald E. Porter, Matt Bishop, Daniela Oliveira
2016 C conf
Cross-layer personalization as a first-class citizen for situation awareness and computer infrastructure security.
NSPW
Aokun Chen, Pratik Prabhanjan Brahma, Dapeng Oliver Wu, Natalie C. Ebner, Brandon Matthews, Jedidiah R. Crandall, Xuetao Wei, Michalis Faloutsos, Daniela Oliveira