A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track. - Haijun Zhai; Xueqi Cheng; Jiafeng Guo; Hongbo Xu; Yue Liu (TREC, 2009)

SentiRank: Cross-Domain Graph Ranking for Sentiment Classification. - Qiong Wu; Songbo Tan; Haijun Zhai; Gang Zhang; Miyi Duan; Xueqi Cheng (Web Intelligence, 2009)

Query Classification Based on Regularized Correlated Topic Model. - Haijun Zhai; Jiafeng Guo; Qiong Wu; Xueqi Cheng; Huawei Shen; Jin Zhang (Web Intelligence, 2009)

Identifying vulgar content in eMule network through text classification. - Xiangtao Liu; Xueqi Cheng; Jingyuan Li 002; Haijun Zhai; Shuo Bai (ISI, 2010)

Web Page Recognition Algorithm Based on Link Analysis in Theme Search Engine. - Zude Chen; Jianxun Liu 001; Haijun Zhai; Lei Jiang 007; Buqing Cao (CGC, 2012)

Using Natural Language Processing and the Electronic Health Record for Appendicitis Risk Stratification. - Louise Deléger; Holly Brodzinski; Haijun Zhai; Qi Li 004; Todd Lingren; Eric S. Kirkendall; Evaline Alessandrini; Imre Solti (HISB, 2012)

Linking Medications and Their Attributes in Clinical Notes and Clinical Trial Announcements for Information Extraction: A Sequence Labeling Approach. - Qi Li 004; Haijun Zhai; Louise Deléger; Todd Lingren; Megan Kaiser; Laura Stoutenborough; Imre Solti (HISB, 2012)

Pre-annotating Clinical Notes and Clinical Trial Announcements for Gold Standard Corpus Development: Evaluating the Impact on Annotation Speed and Potential Bias. - Todd Lingren; Louise Deléger; Katalin Molnár; Haijun Zhai; Jareen Meinzen-Derr; Megan Kaiser; Laura Stoutenborough; Qi Li 004; Imre Solti (HISB, 2012)

Cheap, Fast, and Good Enough for the Non-biomedical Domain but is It Usable for Clinical Natural Language Processing? Evaluating Crowdsourcing for Clinical Trial Announcement Named Entity Annotations. - Haijun Zhai; Todd Lingren; Louise Deléger; Qi Li 004; Megan Kaiser; Laura Stoutenborough; Imre Solti (HISB, 2012)

Predicting the Need for Pediatric Intensive Care Unit (PICU) Transfer for Newly Hospitalized Children with Machine Learning. - Haijun Zhai; Patrick Brady; Qi Li 004; Todd Lingren; Yizhao Ni; Derek S. Wheeler; Imre Solti (AMIA, 2013)

Predicting Breast Cancer Patient Survival Using Machine Learning. - David Solti; Haijun Zhai (BCB, 2013)

A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction. - Qi Li 004; Haijun Zhai; Louise Deléger; Todd Lingren; Megan Kaiser; Laura Stoutenborough; Imre Solti (J. Am. Medical Informatics Assoc., 2013)

Mining FDA drug labels for medical conditions. - Qi Li 004; Louise Deléger; Todd Lingren; Haijun Zhai; Megan Kaiser; Laura Stoutenborough; Anil G. Jegga; Kevin Bretonnel Cohen; Imre Solti (BMC Medical Informatics Decis. Mak., 2013)

Automated Clinical Trial Eligibility Pre-Screening: Increasing the Efficiency of Participant Identification for Clinical Trials. - Yizhao Ni; Stephanie Kennebeck; Constance M. McAneney; Judith W. Dexheimer; Todd Lingren; Qi Li 004; Haijun Zhai; Imre Solti (AMIA, 2014)

Research and applications: Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care. - Qi Li 004; Kristin Melton; Todd Lingren; Eric S. Kirkendall; Eric S. Hall; Haijun Zhai; Yizhao Ni; Megan Kaiser; Laura Stoutenborough; Imre Solti (J. Am. Medical Informatics Assoc., 2014)

Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements. - Todd Lingren; Louise Deléger; Katalin Molnár; Haijun Zhai; Jareen Meinzen-Derr; Megan Kaiser; Laura Stoutenborough; Qi Li 004; Imre Solti (J. Am. Medical Informatics Assoc., 2014)

Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department. - Yizhao Ni; Stephanie Kennebeck; Judith W. Dexheimer; Constance M. McAneney; Huaxiu Tang; Todd Lingren; Qi Li 004; Haijun Zhai; Imre Solti (J. Am. Medical Informatics Assoc., 2015)

Automated detection of medication administration errors in neonatal intensive care. - Qi Li 004; Eric S. Kirkendall; Eric S. Hall; Yizhao Ni; Todd Lingren; Megan Kaiser; Nataline Lingren; Haijun Zhai; Imre Solti; Kristin Melton (J. Biomed. Informatics, 2015)

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications. - Xinye Tang; Haijun Zhai; Chaitanya Belwal; Vineeth Thayanithi; Philip Baumann; Yogesh K. Roy (CoRR, 2025)