Xiao Liu

Orcid: 0000-0001-8277-4701

Affiliations:
  • Arizona State University, Department of Information Systems, Tempe, AZ, USA
  • University of Utah, Salt Lake City, UT, USA (former)
  • University of Arizona, Tucson, AZ, USA (former)


According to our database1, Xiao Liu authored at least 22 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Unbox the Black-Box: Predict and Interpret YouTube Viewership Using Deep Learning.
J. Manag. Inf. Syst., 2023

2022
Understanding Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach.
MIS Q., 2022

An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021
Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning.
J. Manag. Inf. Syst., 2021

Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics.
CoRR, 2021

2019
Understanding Opioid Addiction with Similarity Network-Based Deep Learning.
Proceedings of the Smart Health - International Conference, 2019

Extracting Medication Nonadherence Reasons with Sentiment-Enriched Deep Learning.
Proceedings of the Smart Health - International Conference, 2019

Discovering Barriers to Opioid Addiction Treatment from Social Media: A Similarity Network-Based Deep Learning Approach.
Proceedings of the 40th International Conference on Information Systems, 2019

2018
Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation.
J. Am. Medical Informatics Assoc., 2018

2017
Understanding Reasons for Medication Nonadherence: An Exploration in Social Media Using Sentiment-Enriched Deep Learning Approach.
Proceedings of the International Conference on Information Systems, 2017

2016
Health Data Analytics: Data and Text Mining Approaches for Pharmacovigilance.
PhD thesis, 2016

AZPharm MetaAlert: A Meta-learning Framework for Pharmacovigilance.
Proceedings of the Smart Health - International Conference, 2016

2015
A research framework for pharmacovigilance in health social media: Identification and evaluation of patient adverse drug event reports.
J. Biomed. Informatics, 2015

Identifying Adverse Drug Events from Patient Social Media: A Case Study for Diabetes.
IEEE Intell. Syst., 2015

DiabeticLink: An Internationally Collaborative Cyber-Enabled Patient Empowerment Platform.
Proceedings of the Smart Health - International Conference, 2015

Information Credibility: A Probabilistic Graphical Model for Identifying Credible Influenza Posts on Social Media.
Proceedings of the Smart Health - International Conference, 2015

Identifying Novel Adverse Drug Events from Health Social Media Using Distant Supervision.
Proceedings of the AMIA 2015, 2015

2014
HealthQA: A Chinese QA Summary System for Smart Health.
Proceedings of the Smart Health - International Conference, 2014

Identifying Adverse Drug Events from Health Social Media: A Case Study on Heart Disease Discussion Forums.
Proceedings of the Smart Health - International Conference, 2014

DiabeticLink: An Integrated and Intelligent Cyber-Enabled Health Social Platform for Diabetic Patients.
Proceedings of the Smart Health - International Conference, 2014

Diabetes-Related Topic Detection in Chinese Health Websites Using Deep Learning.
Proceedings of the Smart Health - International Conference, 2014

2013
AZDrugMiner: An Information Extraction System for Mining Patient-Reported Adverse Drug Events in Online Patient Forums.
Proceedings of the Smart Health - International Conference, 2013


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