Match tier
Likely match
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
X
Xuan-Bac Nguyen
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.
Research Assistant
Also affiliated: Chonnam National University (2019–2020); U.S. National Science Foundation (2024); University of Arkansas System (2022–2024); Parallel Quantum Solutions (United States) (2023); VNU University of Engineering and Technology (2014)
9 h-index
44 pubs
390 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Xuan-Bac Nguyen's research focuses on the application of machine learning and deep learning techniques to analyze complex biological and visual data. His work includes developing novel algorithms for facial micro-expression recognition, as demonstrated by the development of Micron-BERT, and for unsupervised clustering of visual data, as seen with Clusformer and QClusformer. Nguyen has also investigated applications in autonomous vehicle technology, specifically multi-camera object tracking. More recently, his research has expanded into creating large-scale datasets and foundation models for insect visual understanding, such as Insect-Foundation. He has also explored quantum computing approaches for visual feature encoding and clustering. Additionally, Nguyen has contributed to the field of medical imaging and diagnostics through his work on video-based autism detection using deep learning and optimal transport-based domain adaptation techniques.
Metrics
- h-index: 9
- Publications: 44
- Citations: 390
Positions
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Research Assistant 2022–presentUniversity of Arkansas at Fayetteville CSCE ORCID
Selected Publications
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QuPAINT: Physics-Aware Multimodal Reasoning for Quantum Material Characterization (2026)
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BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding (2026)
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QUACOD: Quantum Optimization via Coordinate Descent for Scalable Drone Scheduling (2026)arXiv (Cornell University) OpenAlex
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QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling (2026)arXiv (Cornell University) OpenAlex
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QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling (2026)
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COBRA: A Continual Learning Approach to Vision-Brain Understanding (2026)
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Towards Vision-Brain Understanding At Scales: From Classical to Quantum Machine Learning Approaches (2025)Journal of the Arkansas Academy of Science OpenAlex
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QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery (2025)
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QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks (2025)
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BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning (2025)
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Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding (2025)
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Quantum Vision Clustering (2025)
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Diffusion-inspired quantum noise mitigation in parameterized quantum circuits (2025)
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Brainformer: Mimic human visual brain functions to machine vision models via fMRI (2024)
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Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits (2024)
Collaboration Network
Top Collaborators
Khoa Luu
University of Arkansas at Fayetteville
12 shared publications
In database
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- Video-Based Autism Detection with Deep Learning
- Quantum visual feature encoding revisited
- Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
Showing 5 of 12 shared publications
Hoang-Quan Nguyen
University of Arkansas at Fayetteville
6 shared publications
In database
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- Quantum visual feature encoding revisited
- Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Showing 5 of 6 shared publications
Hugh Churchill
University of Arkansas at Fayetteville
6 shared publications
In database
- Quantum visual feature encoding revisited
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
- Quantum Visual Feature Encoding Revisited
- Two-Dimensional Quantum Material Identification via Self-Attention and Soft-Labeling in Deep Learning
Showing 5 of 6 shared publications
Samee U. Khan
Kansas State University (US)
5 shared publications
- Brainformer: Mimic human visual brain functions to machine vision models via fMRI
- QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks
- Quantum Visual Feature Encoding Revisited
- BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning
- Quantum Vision Clustering
Thanh-Dat Truong
4 shared publications
In database
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
- BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding
Ashley P. G. Dowling
University of Arkansas at Fayetteville
3 shared publications
In database
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
Samee U. Khan
Mississippi State University (US)
3 shared publications
- Quantum visual feature encoding revisited
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Xin Li
University at Albany, State University of New York
3 shared publications
In database
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- Brainformer: Mimic human visual brain functions to machine vision models via fMRI
- BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning
Ky Luu
University of Arkansas at Fayetteville
3 shared publications
In database
- QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks
- COBRA: A Continual Learning Approach to Vision-Brain Understanding
- BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding
Manuel Serna-Aguilera
University of Arkansas at Fayetteville
2 shared publications
In database
- Video-Based Autism Detection with Deep Learning
- COBRA: A Continual Learning Approach to Vision-Brain Understanding
Samuel Yen-Chi Chen
Wells Fargo (United States) (US)
2 shared publications
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Nicholas J. Borys
Montana State University (US)
2 shared publications
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Pawan Sinha
Massachusetts Institute of Technology (US)
2 shared publications
- Brainformer: Mimic human visual brain functions to machine vision models via fMRI
- BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning
Ravi Teja Nvs Chappa
Arkansas State University
1 shared publication
In database
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
Ngan Le
Arkansas State University
1 shared publication
In database
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
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