AZDrugMiner: An Information Extraction System for Mining Patient-Reported Adverse Drug Events in Online Patient Forums. - Xiao Liu 016; Hsinchun Chen (ICSH, 2013)

Diabetes-Related Topic Detection in Chinese Health Websites Using Deep Learning. - Xinhuan Chen; Yong Zhang 002; Chunxiao Xing; Xiao Liu 016; Hsinchun Chen (ICSH, 2014)

DiabeticLink: An Integrated and Intelligent Cyber-Enabled Health Social Platform for Diabetic Patients. - Joshua Chuang; Owen Hsiao; Pei-Lin Wu; Jean Chen; Xiao Liu 016; Haily De La Cruz; Shu-Hsing Li; Hsinchun Chen (ICSH, 2014)

Identifying Adverse Drug Events from Health Social Media: A Case Study on Heart Disease Discussion Forums. - Xiao Liu 016; Jing Liu; Hsinchun Chen (ICSH, 2014)

HealthQA: A Chinese QA Summary System for Smart Health. - Yanshen Yin; Yong Zhang 002; Xiao Liu 016; Yan Zhang; Chunxiao Xing; Hsinchun Chen (ICSH, 2014)

Identifying Novel Adverse Drug Events from Health Social Media Using Distant Supervision. - Xiao Liu 016; Hsinchun Chen (AMIA, 2015)

Information Credibility: A Probabilistic Graphical Model for Identifying Credible Influenza Posts on Social Media. - Qiaozhen Guo; Wayne Wei Huang; Kai Huang 011; Xiao Liu 016 (ICSH, 2015)

DiabeticLink: An Internationally Collaborative Cyber-Enabled Patient Empowerment Platform. - Grace Samtani; Lubaina Maimoon; Joshua Chuang; Casper Nybroe; Xiao Liu 016; Uffe Kock Wiil; Shu-Hsing Li; Hsinchun Chen (ICSH, 2015)

Identifying Adverse Drug Events from Patient Social Media: A Case Study for Diabetes. - Xiao Liu 016; Hsinchun Chen (IEEE Intell. Syst., 2015)

A research framework for pharmacovigilance in health social media: Identification and evaluation of patient adverse drug event reports. - Xiao Liu 016; Hsinchun Chen (J. Biomed. Informatics, 2015)

AZPharm MetaAlert: A Meta-learning Framework for Pharmacovigilance. - Xiao Liu 016; Hsinchun Chen (ICSH, 2016)

Health Data Analytics: Data and Text Mining Approaches for Pharmacovigilance. - Xiao Liu 016 (2016)

Understanding Reasons for Medication Nonadherence: An Exploration in Social Media Using Sentiment-Enriched Deep Learning Approach. - Jiaheng Xie; Xiao Liu 016; Daniel Zeng 001; Xiao Fang (ICIS, 2017)

Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation. - Jiaheng Xie; Xiao Liu 016; Daniel Dajun Zeng (J. Am. Medical Informatics Assoc., 2018)

Discovering Barriers to Opioid Addiction Treatment from Social Media: A Similarity Network-Based Deep Learning Approach. - Jiaheng Xie; Zhu Zhang; Xiao Liu 016; Daniel Zeng 001 (ICIS, 2019)

Extracting Medication Nonadherence Reasons with Sentiment-Enriched Deep Learning. - Jiaheng Xie; Xiao Liu 016; Daniel Zeng 001; Xiao Fang (ICSH, 2019)

Understanding Opioid Addiction with Similarity Network-Based Deep Learning. - Jiaheng Xie; Zhu Zhang; Xiao Liu 016; Daniel Zeng 001 (ICSH, 2019)

Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics. - Jiaheng Xie; Yidong Chai; Xiao Liu 016 (CoRR, 2021)

Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning. - Jiaheng Xie; Zhu Zhang; Xiao Liu 016; Daniel Zeng 001 (J. Manag. Inf. Syst., 2021)

An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube. - Jiaheng Xie; Yidong Chai; Xiao Liu 016 (HICSS, 2022)

Understanding Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach. - Jiaheng Xie; Xiao Liu 016; Daniel Dajun Zeng; Xiao Fang (MIS Q., 2022)

Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning. - Jiaheng Xie; Yidong Chai; Xiao Liu 016 (J. Manag. Inf. Syst., 2023)