Aokun Chen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Situation Awareness

Pulmonary Nodules

Top Venues

npj Digit. Medicine

J. Biomed. Informatics

J. Heal. Informatics Res.

Publications

Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian
Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization. Informatics 11 (2024)
Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu
Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. J. Biomed. Informatics 153 (2024)
Aokun Chen, Qian Li, Yu Huang, Yongqiu Li, Yu-Neng Chuang, Xia Hu, Serena Guo, Yonghui Wu, Yi Guo, Jiang Bian
Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data. CoRR (2024)
Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen, Jiang Bian, Yonghui Wu
UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models. CoRR (2024)
Shuang Yang, Xi Yang, Tianchen Lyu, James L. Huang, Aokun Chen, Xing He, Dejana Braithwaite, Hiren J. Mehta, Yonghui Wu, Yi Guo, Jiang Bian
Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models. J. Heal. Informatics Res. 8 (3) (2024)
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-Machido, Yonghui Wu, Hua Xu, Jiang Bian
Me LLaMA: Foundation Large Language Models for Medical Applications. CoRR (2024)
Aokun Chen, Qian Li, Elizabeth Shenkman, Yonghui Wu, Yi Guo, Jiang Bian
Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients. ICHI (2023)
Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima 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
A Study of Generative Large Language Model for Medical Research and Healthcare. CoRR (2023)
Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu
Contextualized medication information extraction using Transformer-based deep learning architectures. J. Biomed. Informatics 142 (2023)
Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu
Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures. CoRR (2023)
Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction. CoRR (2023)
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 C. F. Prosperi, Jiang Bian, Ragnhildur I. Bjarnadottir, Yonghui Wu
Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing. CoRR (2023)
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
On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) (2023)
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
On the Impact of Cross-Domain Data on German Language Models. CoRR (2023)
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu
Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need. CoRR (2023)
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
A study of generative large language model for medical research and healthcare. npj Digit. Medicine 6 (2023)
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
A large language model for electronic health records. npj Digit. Medicine 5 (2022)
Aokun Chen, Qian Li, Xing He, Michael Jaffee, William R. Hogan, Fei Wang, Yi Guo, Jiang Bian
Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials. AMIA (2022)
Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li
Learning Fast and Slow: Propedeutica for Real-Time Malware Detection. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
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
Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles. IEEE Trans. Biom. Behav. Identity Sci. 4 (3) (2022)
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
Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles. CoRR (2021)
Meisam Navaki Arefi, Geoffrey Alexander, Hooman Rokham, Aokun Chen, Michalis Faloutsos, Xuetao Wei, Daniela Seabra Oliveira, Jedidiah R. Crandall
FAROS: Illuminating In-memory Injection Attacks via Provenance-Based Whole-System Dynamic Information Flow Tracking. DSN (2018)
Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection. CoRR (2017)
Aokun Chen, Pratik Prabhanjan Brahma, Dapeng Oliver Wu, Natalie C. Ebner, Brandon Matthews, Jedidiah R. Crandall, Xuetao Wei, Michalis Faloutsos, Daniela Oliveira
Cross-layer personalization as a first-class citizen for situation awareness and computer infrastructure security. NSPW (2016)
Ruimin Sun, Andrew Lee, Aokun Chen, Donald E. Porter, Matt Bishop, Daniela Oliveira
Bear: A Framework for Understanding Application Sensitivity to OS (Mis) Behavior. ISSRE (2016)