Quan 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
Unknown Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Quan Mai's research focuses on the application of advanced machine learning techniques to analyze complex biological and medical data. His recent work includes the development of a multi-module recurrent convolutional neural network with a Transformer encoder for classifying ECG arrhythmias, presented in 2021. In 2022, he contributed to the creation of BrainVGAE, an end-to-end graph neural network designed for processing noisy fMRI datasets. Mai has collaborated with researchers from the University of Arkansas at Little Rock and within the University of Arkansas at Fayetteville, contributing to shared publications in these areas. His scholarship is marked by a growing body of work in computational approaches to health data analysis, indicated by his recent activity and publication record.
Metrics
- h-index: 2
- Publications: 2
- Citations: 45
Selected Publications
-
Boolean-Aware Attention for Dense Retrieval (2026)
-
Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis (2024)
-
SetBERT: Enhancing Retrieval Performance for Boolean Logic and Set Operation Queries (2024)
-
BrainVGAE: End-to-End Graph Neural Networks for Noisy fMRI Dataset (2022)
-
Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification (2021)
Collaboration Network
Top Collaborators
- SetBERT: Enhancing Retrieval Performance for Boolean Logic and Set Operation Queries
- Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
- Boolean-Aware Attention for Dense Retrieval
- Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification
- Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification
- Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification
- Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification
- Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification
- BrainVGAE: End-to-End Graph Neural Networks for Noisy fMRI Dataset
- BrainVGAE: End-to-End Graph Neural Networks for Noisy fMRI Dataset
- Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
- Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
- Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis
- Boolean-Aware Attention for Dense Retrieval
Similar Researchers
Based on overlapping research topics