A Study of Active Learning for Document Selection in Clinical Named Entity Recognition. - Qiang Wei 002; Yukun Chen 001; Sungrim Moon; Trevor Cohen; Hua Xu 001 (AMIA, 2016)

Detecting Contradictory and Consistent Citations in Biomedical Literature. - Jun Xu 007; Yonghui Wu; Yaoyun Zhang; Qiang Wei 002; Hua Xu 001 (AMIA, 2017)

UTH_CCB System for Adverse Drug Reaction Extraction from Drug Labels at TAC-ADR 2017. - Jun Xu 007; Hee-Jin Lee; Zongcheng Ji; Jingqi Wang; Qiang Wei 002; Hua Xu 001 (TAC, 2017)

A systematic analysis of FDA-approved anticancer drugs. - Jingchun Sun; Qiang Wei 002; Yubo Zhou; Jingqi Wang; Qi Liu 024; Hua Xu 001 (BMC Syst. Biol., 2017)

Clinical text annotation - what factors are associated with the cost of time? - Qiang Wei 002; Amy Franklin; Trevor Cohen; Hua Xu 001 (AMIA, 2018)

CLAMP-PA: A machine learning based pre-annotation pipeline for corpus construction of clinical concepts. - Yaoyun Zhang; Qiang Wei 002; Jingqi Wang; Hua Xu 001 (AMIA, 2018)

Extracting psychiatric stressors for suicide from social media using deep learning. - Jingcheng Du; Yaoyun Zhang; Jianhong Luo; Yuxi Jia; Qiang Wei 002; Cui Tao; Hua Xu 001 (BMC Medical Informatics Decis. Mak., 2018)

Relation Extraction from Clinical Narratives Using Pre-trained Language Models. - Qiang Wei 002; Zongcheng Ji; Yuqi Si; Jingcheng Du; Jingqi Wang; Firat Tiryaki; Stephen Wu 004; Cui Tao; Kirk Roberts; Hua Xu 001 (AMIA, 2019)

Detect Attributes of Medical Concepts via Sequence Labeling. - Jun Xu 007; Zhiheng Li 004; Qiang Wei 002; Yonghui Wu; Yang Xiang 003; Hee-Jin Lee; Yaoyun Zhang; Stephen Wu 004; Hua Xu 001 (ICHI, 2019)

BERT-based Ranking for Biomedical Entity Normalization. - Zongcheng Ji; Qiang Wei 002; Hua Xu 001 (CoRR, 2019)

Cost-aware active learning for named entity recognition in clinical text. - Qiang Wei 002; Yukun Chen 001; Mandana Salimi; Joshua C. Denny; Qiaozhu Mei; Thomas A. Lasko; Qingxia Chen; Stephen Wu 004; Amy Franklin; Trevor Cohen; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2019)

Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text. - Jun Xu 007; Zhiheng Li 004; Qiang Wei 002; Yonghui Wu; Yang Xiang 003; Hee-Jin Lee; Yaoyun Zhang; Stephen Wu 004; Hua Xu 001 (BMC Medical Informatics Decis. Mak., 2019)

Named Entity Recognition from Table Headers in Randomized Controlled Trial Articles. - Qiang Wei 002; Yujia Zhou 003; Bo Zhao 001; Xinyue Hu 002; Qiaozhu Mei; Cui Tao; Hua Xu 001 (ICHI, 2020)

Recognizing software names in biomedical literature using machine learning. - Qiang Wei 002; Yaoyun Zhang; Muhammad Amith; Rebecca Lin; Jenay Lapeyrolerie; Cui Tao; Hua Xu 001 (Health Informatics J., 2020)

A study of deep learning approaches for medication and adverse drug event extraction from clinical text. - Qiang Wei 002; Zongcheng Ji; Zhiheng Li 004; Jingcheng Du; Jingqi Wang; Jun Xu 007; Yang Xiang 003; Firat Tiryaki; Stephen Wu 004; Yaoyun Zhang; Cui Tao; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2020)

Deep learning in clinical natural language processing: a methodical review. - Stephen Wu 004; Kirk Roberts; Surabhi Datta; Jingcheng Du; Zongcheng Ji; Yuqi Si; Sarvesh Soni; Qiong Wang; Qiang Wei 002; Yang Xiang 003; Bo Zhao 001; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2020)

Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple Corpora. - Jianfu Li; Qiang Wei 002; Omid Ghiasvand; Miao Chen; Victor S. Lobanov; Chunhua Weng; Hua Xu 001 (ICHI, 2021)

Fast Textual Corpus Retrieval from Electronic Health Records using PDF Parser and TxtSplit Tools. - Yiming Li; Qiang Wei 002; Yujia Zhou 003; Hua Xu 001 (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)

Chemical-Protein Relation Extraction with Pre-trained Prompt Tuning. - Jianping He 002; Fang Li 011; Xinyue Hu 002; Jianfu Li; Yi Nian; Jingqi Wang; Yang Xiang 003; Qiang Wei 002; Hua Xu 001; Cui Tao (ICHI, 2022)

A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora. - Jianfu Li; Qiang Wei 002; Omid Ghiasvand; Miao Chen; Victor S. Lobanov; Chunhua Weng; Hua Xu 001 (BMC Medical Informatics Decis. Mak., 2022)

Extracting Drug-Protein Relation from Literature Using Ensembles of Biomedical Transformers. - Avisha Das; Zhao Li; Qiang Wei 002; Jianfu Li; Liang-Chin Huang; Yan Hu; Rongbin Li; Wenjin Jim Zheng; Hua Xu 001 (MedInfo, 2023)

Ensemble pretrained language models to extract biomedical knowledge from literature. - Zhao Li; Qiang Wei 002; Liang-Chin Huang; Jianfu Li; Yan Hu; Yao-Shun Chuang; Jianping He 002; Avisha Das; Vipina Kuttichi Keloth; Yuntao Yang; Chiamaka S. Diala; Kirk E. Roberts; et al. (J. Am. Medical Informatics Assoc., 2024)

Improving tabular data extraction in scanned laboratory reports using deep learning models. - Yiming Li; Qiang Wei 002; Xinghan Chen; Jianfu Li; Cui Tao; Hua Xu 001 (J. Biomed. Informatics, 2024)

Prompt Tuning in Biomedical Relation Extraction. - Jianping He 002; Fang Li 011; Jianfu Li; Xinyue Hu 002; Yi Nian; Yang Xiang 003; Jingqi Wang; Qiang Wei 002; Yiming Li; Hua Xu 001; Cui Tao (J. Heal. Informatics Res., 2024)