Match tier
Likely match
Presence
Current · Arkansas
Last published
2024
Sources
OpenAlex · ORCID
Refreshed
2026-08-08
H
Huy Mai
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: Brandeis University (2015)
Faculty Researcher
2 h-index
13 pubs
31 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Huy Mai's research focuses on the application of machine learning and statistical modeling to diverse areas, including public health, network security, and econometrics. His work has investigated the classification of online discourse, such as vaping-related discussions on Twitter, utilizing deep learning models like BERTweet. Mai has also explored methods for anomaly detection in network security through semi-supervised spatial-temporal feature learning. In econometrics, his publications address challenges in prediction feature assignment within the Heckman selection model and developing robust classifiers for situations with missing data. He has collaborated with researchers from the University of Arkansas for Medical Sciences and within the University of Arkansas at Fayetteville on several shared publications. His scholarly output includes 13 publications and has garnered 31 citations, with an h-index of 2.
Metrics
- h-index: 2
- Publications: 13
- Citations: 31
Selected Publications
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Federated Learning under Sample Selection Heterogeneity (2024)
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On Prediction Feature Assignment in the Heckman Selection Model (2024)
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A Robust Classifier under Missing-Not-at-Random Sample Selection Bias (2023)
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Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study (2022)
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Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (2022)
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Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint) (2022)
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Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study (Preprint) (2021)
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Adversarial attacks against image-based malware detection using autoencoders (2021)
Collaboration Network
Top Collaborators
Page D. Dobbs
University of Arkansas at Fayetteville
4 shared publications
In database
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study (Preprint)
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint)
Brian A. Primack
Oregon State University (US)
4 shared publications
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study (Preprint)
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint)
Justin Zhan
University of Arkansas at Fayetteville (US)
3 shared publications
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study
- Adversarial attacks against image-based malware detection using autoencoders
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study (Preprint)
Xintao Wu
University of Arkansas at Fayetteville
3 shared publications
In database
- A Robust Classifier under Missing-Not-at-Random Sample Selection Bias
- On Prediction Feature Assignment in the Heckman Selection Model
- Federated Learning under Sample Selection Heterogeneity
William Baker
University of Arkansas at Fayetteville
2 shared publications
In database
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study (Preprint)
Jason B. Colditz
University of Pittsburgh (US)
2 shared publications
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study (Preprint)
Shyam Visweswaran
University of Pittsburgh (US)
2 shared publications
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study
- Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study (Preprint)
Nnamdi Ezike
University of Arkansas at Fayetteville
2 shared publications
In database
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint)
Alycia N. Carey
University of Arkansas at Fayetteville
1 shared publication
In database
- Adversarial attacks against image-based malware detection using autoencoders
Asif Mehmood
United States Air Force Research Laboratory (US)
1 shared publication
- Adversarial attacks against image-based malware detection using autoencoders
Allison J. Ames
University of Arkansas at Fayetteville
1 shared publication
In database
- Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series
Wen Huang
University of Arkansas at Fayetteville
1 shared publication
In database
- A Robust Classifier under Missing-Not-at-Random Sample Selection Bias
Du Wei
University of Arkansas at Fayetteville (US)
1 shared publication
- A Robust Classifier under Missing-Not-at-Random Sample Selection Bias
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