Xuan-Bac Nguyen Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Research Assistant

University of Arkansas at Fayetteville

grad_student

9 h-index 35 pubs 330 cited

Research Areas

Advanced Neural Network Applications Computer Vision Machine Learning Artificial Intelligence Deep Learning Autonomous Vehicles Quantum Computing Applications

Links

ORCID Lab Website Research Group

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OverviewAI-generated summary

Xuan-Bac Nguyen's research focuses on the application of deep learning and artificial intelligence techniques to address complex problems in computer vision and related fields. He has investigated advanced neural network architectures, including Transformer-based models, for tasks such as facial micro-expression recognition, unsupervised large-scale face and visual landmark recognition, and multi-camera 3D object tracking for autonomous vehicles. His work also extends to developing foundation models for specific domains, exemplified by "Insect-Foundation" for visual insect understanding. Nguyen has explored novel approaches in unsupervised domain adaptation and quantum-inspired machine learning, as seen in "QClusformer" and "Quantum visual feature encoding revisited." His research has also touched upon video-based autism detection. He has a history of collaboration with researchers at the University of Arkansas at Fayetteville, including Hoang-Quan Nguyen, Hugh Churchill, and Khoa Luu.

Metrics

  • h-index: 9
  • Publications: 35
  • Citations: 330

Selected Publications

  • COBRA: A Continual Learning Approach to Vision-Brain Understanding (2026) DOI
  • QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks (2025) DOI
  • BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning (2025) DOI
  • Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding (2025) DOI
  • Quantum Vision Clustering (2025) DOI
  • Diffusion-inspired quantum noise mitigation in parameterized quantum circuits (2025) DOI
  • Brainformer: Mimic human visual brain functions to machine vision models via fMRI (2024) DOI
  • Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits (2024) DOI
  • Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding (2024) DOI
  • Two-Dimensional Quantum Material Identification via Self-Attention and Soft-Labeling in Deep Learning (2024) DOI
  • Quantum visual feature encoding revisited (2024) DOI
  • Quantum Visual Feature Encoding Revisited (2024) DOI
  • Video-Based Autism Detection with Deep Learning (2024) DOI

Collaborators

Researchers in the database who share publications

Hoang-Quan Nguyen University of Arkansas at Fayetteville 17 shared publications Hugh Churchill University of Arkansas at Fayetteville 14 shared publications Khoa Luu University of Arkansas at Fayetteville 13 shared publications Ashley P. G. Dowling University of Arkansas at Fayetteville 6 shared publications Han‐Seok Seo University of Arkansas at Fayetteville 4 shared publications Manuel Serna-Aguilera University of Arkansas at Fayetteville 4 shared publications S. D. Pandey University of Arkansas at Fayetteville 3 shared publications Susan Gauch University of Arkansas at Fayetteville 2 shared publications

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