Aokun Chen

According to our database, Aokun Chen authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization.

Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian

Informatics, 2024

Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data.

Aokun Chen, Qian Li, Yu Huang, Yongqiu Li, Yu-neng Chuang, Xia Hu, Serena Guo, Yonghui Wu, Yi Guo, Jiang Bian

CoRR, 2024

Me LLaMA: Foundation Large Language Models for Medical Applications.

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

CoRR, 2024

2023

Contextualized medication information extraction using Transformer-based deep learning architectures.

Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu

J. Biomed. Informatics, June, 2023

A study of generative large language model for medical research and healthcare.

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

npj Digit. Medicine, 2023

Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need.

Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu

CoRR, 2023

On the Impact of Cross-Domain Data on German Language Models.

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

CoRR, 2023

Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction.

Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu

CoRR, 2023

A Study of Generative Large Language Model for Medical Research and Healthcare.

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

CoRR, 2023

Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing.

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

CoRR, 2023

Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures.

Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu

CoRR, 2023

Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients.

Aokun Chen, Qian Li, Elizabeth Shenkman, Yonghui Wu, Yi Guo, Jiang Bian

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

On the Impact of Cross-Domain Data on German Language Models.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Learning Fast and Slow: Propedeutica for Real-Time Malware Detection.

Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li

IEEE Trans. Neural Networks Learn. Syst., 2022

Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles.

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

IEEE Trans. Biom. Behav. Identity Sci., 2022

A large language model for electronic health records.

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

npj Digit. Medicine, 2022

Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials.

Aokun Chen, Qian Li, Xing He, Michael Jaffee, William R. Hogan, Fei Wang, Yi Guo, Jiang Bian

Proceedings of the AMIA 2022, 2022

2021

Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles.

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

CoRR, 2021

2018

FAROS: Illuminating In-memory Injection Attacks via Provenance-Based Whole-System Dynamic Information Flow Tracking.

Meisam Navaki Arefi, Geoffrey Alexander, Hooman Rokham, Aokun Chen, Michalis Faloutsos, Xuetao Wei, Daniela Seabra Oliveira, Jedidiah R. Crandall

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

2016

Cross-layer personalization as a first-class citizen for situation awareness and computer infrastructure security.

Aokun Chen, Pratik Prabhanjan Brahma, Dapeng Oliver Wu, Natalie C. Ebner, Brandon Matthews, Jedidiah R. Crandall, Xuetao Wei, Michalis Faloutsos, Daniela Oliveira

Proceedings of the 2016 New Security Paradigms Workshop, 2016

Bear: A Framework for Understanding Application Sensitivity to OS (Mis) Behavior.

Ruimin Sun, Andrew Lee, Aokun Chen, Donald E. Porter, Matt Bishop, Daniela Oliveira

Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016