Xuan-Bac Nguyen Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Xuan-Bac Nguyen's research focuses on the application of advanced computational techniques, particularly deep learning and transformer models, to complex data analysis problems. His work has explored facial micro-expression recognition using a BERT-based model (Micron-BERT) and unsupervised clustering of visual data with a transformer-based approach (Clusformer). Nguyen has also investigated multi-camera 3D object tracking for autonomous vehicles and developed foundation models for visual insect understanding. His research extends to video-based autism detection using deep learning and quantum transformer frameworks for unsupervised visual clustering. He has also examined quantum visual feature encoding and optimal transport-based domain adaptation techniques. Nguyen has published 35 papers with 341 citations and an h-index of 9. He has collaborated extensively with researchers at the University of Arkansas at Fayetteville, including Hoang-Quan Nguyen, Hugh Churchill, and Khoa Luu.
Metrics
- h-index: 9
- Publications: 36
- Citations: 354
Selected Publications
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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)
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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)
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Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding (2024)
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Two-Dimensional Quantum Material Identification via Self-Attention and Soft-Labeling in Deep Learning (2024)
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Quantum visual feature encoding revisited (2024)
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Quantum Visual Feature Encoding Revisited (2024)
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Video-Based Autism Detection with Deep Learning (2024)
Collaboration Network
Top Collaborators
- Micron-BERT: BERT-Based Facial Micro-Expression Recognition
- Clusformer: A Transformer based Clustering Approach to Unsupervised Large-scale Face and Visual Landmark Recognition
- Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- Video-Based Autism Detection with Deep Learning
Showing 5 of 25 shared publications
- Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
- Quantum Vision Clustering
- Two-Dimensional Quantum Material Identification via Self-Attention and Soft-Labeling in Deep Learning
Showing 5 of 8 shared publications
- Micron-BERT: BERT-Based Facial Micro-Expression Recognition
- Clusformer: A Transformer based Clustering Approach to Unsupervised Large-scale Face and Visual Landmark Recognition
- Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles
- Micron-BERT: BERT-based Facial Micro-Expression Recognition
- Fairness in Visual Clustering: A Novel Transformer Clustering Approach
Showing 5 of 6 shared publications
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
- Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Showing 5 of 6 shared publications
- Brainformer: Mimic human visual brain functions to machine vision models via fMRI
- BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning
- BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning
- Quantum Vision Clustering
- QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks
- Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
- Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
- Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
- Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
- Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
- Micron-BERT: BERT-Based Facial Micro-Expression Recognition
- Video-Based Autism Detection with Deep Learning
- Micron-BERT: BERT-based Facial Micro-Expression Recognition
- A Novel Dataset for Video-Based Neurodivergent Classification Leveraging Extra-Stimulatory Behavior
- 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
- The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution
- BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Brainformer: Mimic Human Visual Brain Functions to Machine Vision Models via fMRI
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
- Video-Based Autism Detection with Deep Learning
- A Novel Dataset for Video-Based Neurodivergent Classification Leveraging Extra-Stimulatory Behavior
- Video-Based Autism Detection with Deep Learning
- COBRA: A Continual Learning Approach to Vision-Brain Understanding
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
- $φ$-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery
- Brainformer: Mimic human visual brain functions to machine vision models via fMRI
- BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning
- BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning
- Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
- Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
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