Bear: A Framework for Understanding Application Sensitivity to OS (Mis) Behavior. - Ruimin Sun; Andrew Lee; Aokun Chen; Donald E. Porter; Matt Bishop; Daniela Oliveira 001 (ISSRE, 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 001 (NSPW, 2016)

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 (DSN, 2018)

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; et al. (CoRR, 2021)

Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials. - Aokun Chen; Qian Li 034; Xing He 003; Michael Jaffee; William R. Hogan; Fei Wang 001; Yi Guo 005; Jiang Bian 001 (AMIA, 2022)

A large language model for electronic health records. - Xi Yang 015; Aokun Chen; Nima M. Pournejatian; Hoo Chang Shin; Kaleb E. Smith; Christopher Parisien; Colin Compas; Cheryl Martin 002; Anthony B. Costa; Mona G. Flores; Ying Zhang; Tanja Magoc; et al. (npj Digit. Medicine, 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; et al. (IEEE Trans. Biom. Behav. Identity Sci., 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 001; Xiaolin Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

On the Impact of Cross-Domain Data on German Language Models. - Amin Dada; Aokun Chen; Cheng Peng 009; Kaleb E. Smith; Ahmad Idrissi-Yaghir; Constantin Seibold; Jianning Li 002; Lars Heiliger; Christoph M. Friedrich; Daniel Truhn; Jan Egger; Jiang Bian 001; et al. (EMNLP (Findings), 2023)

Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients. - Aokun Chen; Qian Li 034; Elizabeth Shenkman; Yonghui Wu; Yi Guo 005; Jiang Bian 001 (ICHI, 2023)

On the Impact of Cross-Domain Data on German Language Models. - Amin Dada; Aokun Chen; Cheng Peng 009; Kaleb E. Smith; Ahmad Idrissi-Yaghir; Constantin Marc Seibold; Jianning Li 002; Lars Heiliger; Xi Yang 015; Christoph M. Friedrich; Daniel Truhn; Jan Egger; et al. (CoRR, 2023)

A study of generative large language model for medical research and healthcare. - Cheng Peng 009; Xi Yang 015; Aokun Chen; Kaleb E. Smith; Nima M. Pournejatian; Anthony B. Costa; Cheryl Martin 002; Mona G. Flores; Ying Zhang; Tanja Magoc; Gloria P. Lipori; Duane A. Mitchell; et al. (npj Digit. Medicine, 2023)

Contextualized medication information extraction using Transformer-based deep learning architectures. - Aokun Chen; Zehao Yu 001; Xi Yang 015; Yi Guo 005; Jiang Bian 001; Yonghui Wu (J. Biomed. Informatics, 2023)

UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models. - Mengxian Lyu; Cheng Peng 009; Daniel Paredes; Ziyi Chen; Aokun Chen; Jiang Bian 001; Yonghui Wu (BioNLP@ACL, 2024)

Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing. - Aokun Chen; Daniel Paredes; Zehao Yu 001; Xiwei Lou; Roberta Brunson; Jamie N. Thomas; Kimberly A. Martinez; Robert J. Lucero; Tanja Magoc; Laurence M. Solberg; Urszula Alina Snigurska; Sarah E. Ser; et al. (ICHI, 2024)

Me LLaMA: Foundation Large Language Models for Medical Applications. - Qianqian Xie; Qingyu Chen 001; Aokun Chen; Cheng Peng 009; Yan Hu; Fongci Lin; Xueqing Peng; Jimin Huang; Jeffrey Zhang 010; Vipina Kuttichi Keloth; Xingyu Zhou; Huan He; et al. (CoRR, 2024)

Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data. - Aokun Chen; Qian Li 034; Yu Huang 018; Yongqiu Li; Yu-Neng Chuang; Xia Hu 001; Serena Guo; Yonghui Wu; Yi Guo 005; Jiang Bian 001 (CoRR, 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 001; Jennifer N. Fishe; William R. Hogan; Elizabeth A. Shenkman; Yi Guo 005; Jiang Bian 001 (Informatics, 2024)

Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. - Cheng Peng 009; Xi Yang 015; Aokun Chen; Zehao Yu 001; Kaleb E. Smith; Anthony B. Costa; Mona G. Flores; Jiang Bian 001; Yonghui Wu (J. Am. Medical Informatics Assoc., 2024)

Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. - Cheng Peng 009; Xi Yang 015; Kaleb E. Smith; Zehao Yu 001; Aokun Chen; Jiang Bian 001; Yonghui Wu (J. Biomed. Informatics, 2024)

Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models. - Shuang Yang; Xi Yang 015; Tianchen Lyu; James L. Huang; Aokun Chen; Xing He 003; Dejana Braithwaite; Hiren J. Mehta; Yonghui Wu; Yi Guo 005; Jiang Bian 001 (J. Heal. Informatics Res., 2024)

Medical foundation large language models for comprehensive text analysis and beyond. - Qianqian Xie; Qingyu Chen 001; Aokun Chen; Cheng Peng 009; Yan Hu; Fongci Lin; Xueqing Peng; Jimin Huang; Jeffrey Zhang 010; Vipina Kuttichi Keloth; Xinyu Zhou; Lingfei Qian; et al. (npj Digit. Medicine, 2025)

A Brief Review on Benchmarking for Large Language Models Evaluation in Healthcare. - Leona Cilar Budler; Hongyu Chen; Aokun Chen; Maxim Topaz; Wilson Tam; Jiang Bian 001; Gregor Stiglic (WIREs Data. Mining. Knowl. Discov., 2025)