HTS filter subsystem for future mobile communication system. - Tao Zuo; Lan Fang; Xinjie Zhao 003; Xu Zuo; TieGe Zhou; ShaoLin Yan (Sci. China Ser. F Inf. Sci., 2008)

Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study. - Xu Zuo; Jianfu Li; Bo Zhao 001; Yujia Zhou 003; Xiao Dong; Jon D. Duke; Karthik Natarajan; George Hripcsak; Nigam Shah; Juan M. Banda; Ruth M. Reeves; Hua Xu 001 (AMIA, 2020)

How do we share data in COVID-19 research? A systematic review of COVID-19 datasets in PubMed Central Articles. - Xu Zuo; Yong Chen 016; Lucila Ohno-Machado; Hua Xu 001 (Briefings Bioinform., 2021)

Extracting Cancer Chemotherapy and Response Information from Clinical Notes following the RECIST Definition. - Xu Zuo; Natalie Gregoriou; Ashok Kumar; Jianfu Li; Jeremy Warner; Yang Ping; Hua Xu (AMIA, 2022)

ClinicalLayoutLM: A Pre-trained Multi-modal Model for Understanding Scanned Document in Electronic Health Records. - Qiang Wei 002; Xu Zuo; Omer Anjum; Yan Hu; Ryan Denlinger; Elmer V. Bernstam; Martin J. Citardi; Hua Xu 001 (IEEE Big Data, 2022)

Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues. - Avisha Das; Salih Selek; Alia R. Warner; Xu Zuo; Yan Hu; Vipina Kuttichi Keloth; Jianfu Li; W. Jim Zheng; Hua Xu 001 (BioNLP@ACL, 2022)

Zero-shot Clinical Entity Recognition using ChatGPT. - Yan Hu; Iqra Ameer; Xu Zuo; Xueqing Peng; Yujia Zhou 003; Zehan Li; Yiming Li; Jianfu Li; Xiaoqian Jiang; Hua Xu 001 (CoRR, 2023)

Learning Long-form Video Prior via Generative Pre-Training. - Jinheng Xie; Jiajun Feng; Zhaoxu Tian; Kevin Qinghong Lin; Yawen Huang; Xi Xia; Nanxu Gong; Xu Zuo; Jiaqi Yang; Yefeng Zheng 001; Mike Zheng Shou (CoRR, 2024)

Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources. - Yiming Li; Deepthi Viswaroopan; William He; Jianfu Li; Xu Zuo; Hua Xu 001; Cui Tao (CoRR, 2024)

Information Extraction from Clinical Notes: Are We Ready to Switch to Large Language Models? - Yan Hu; Xu Zuo; Yujia Zhou 003; Xueqing Peng; Jimin Huang; Vipina Kuttichi Keloth; Vincent J. Zhang; Ruey-Ling Weng; Qingyu Chen 001; Xiaoqian Jiang; Kirk E. Roberts; Hua Xu 001 (CoRR, 2024)

Improving large language models for clinical named entity recognition via prompt engineering. - Yan Hu; Qingyu Chen 001; Jingcheng Du; Xueqing Peng; Vipina Kuttichi Keloth; Xu Zuo; Yujia Zhou 003; Zehan Li; Xiaoqian Jiang; Zhiyong Lu; Kirk Roberts; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2024)

Relation extraction using large language models: a case study on acupuncture point locations. - Yiming Li; Xueqing Peng; Jianfu Li; Xu Zuo; Suyuan Peng; Donghong Pei; Cui Tao; Hua Xu 001; Na Hong (J. Am. Medical Informatics Assoc., 2024)

Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints. - Jiayi Tong; Chongliang Luo; Yifei Sun; Rui Duan 004; M. Elle Saine; Lifeng Lin; Yifan Peng 002; Yiwen Lu; Anchita Batra; Anni Pan; Olivia Wang; Ruowang Li; et al. (J. Am. Medical Informatics Assoc., 2024)

Risk identification of aerobic exercise and health data monitoring based on ACGAN image recognition algorithm. - Xu Zuo; Yinhao Shen (Phys. Commun., 2024)

Improving entity recognition using ensembles of deep learning and fine-tuned large language models: A case study on adverse event extraction from VAERS and social media. - Yiming Li; Deepthi Viswaroopan; William He; Jianfu Li; Xu Zuo; Hua Xu 001; Cui Tao (J. Biomed. Informatics, 2025)