Hoang-Quan Nguyen Source Confirmed

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

Researcher

University of Arkansas at Fayetteville

faculty

5 h-index 42 pubs 111 cited

Research Areas

Advanced Neural Network Applications Quantum Computing and Applications Computer Vision Techniques Machine Learning Datasets Medical Imaging Techniques and Applications Natural Language Processing Techniques Insect and Arachnid Ecology and Behavior Metal and Thin Film Mechanics

Links

ORCID Lab Website

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OverviewAI-generated summary

Hoang-Quan Nguyen's research investigates the intersection of computer vision, machine learning, and quantum computing. His work includes developing large-scale datasets and foundation models for visual understanding, such as the Insect-Foundation dataset for visual insect understanding. Nguyen has explored quantum computing applications in machine learning, including quantum transformer-based frameworks for unsupervised visual clustering and quantum noise mitigation in parameterized quantum circuits.

His research also extends to applying advanced computational techniques to biological and medical data. This includes work on hierarchical quantum control gates for functional MRI understanding and fairness-aware continual learning for semantic scene understanding in open-world environments. Nguyen collaborates with several faculty members at the University of Arkansas at Fayetteville, including Xuan-Bac Nguyen, Hugh Churchill, and Khoa Luu, on these research endeavors.

Metrics

  • h-index: 5
  • Publications: 42
  • Citations: 111

Selected Publications

  • QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery (2025) DOI
  • QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks (2025) DOI
  • Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding (2025) DOI
  • Diffusion-inspired quantum noise mitigation in parameterized quantum circuits (2025) 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
  • Quantum visual feature encoding revisited (2024) DOI
  • Quantum Visual Feature Encoding Revisited (2024) DOI

Collaborators

Researchers in the database who share publications

Xuan-Bac Nguyen University of Arkansas at Fayetteville 17 shared publications Hugh Churchill University of Arkansas at Fayetteville 11 shared publications Khoa Luu University of Arkansas at Fayetteville 6 shared publications Ashley P. G. Dowling University of Arkansas at Fayetteville 4 shared publications S. D. Pandey University of Arkansas at Fayetteville 2 shared publications

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