Trong-Thuan Nguyen Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Fayetteville
faculty
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Biography and Research Information
OverviewAI-generated summary
Trong-Thuan Nguyen's research focuses on the application of advanced computational techniques to address challenges in document analysis, medical imaging, and object recognition. His work includes developing models for parsing digitized Vietnamese paper documents, employing methods like Guided Anchoring Cascade R-CNN to improve object detection accuracy. Nguyen has also investigated the use of deep learning models, such as CNN and Vision Transformer (ViT) combinations, for disease recognition in medical images, including a model inspired by doctor consultations for COVID-19 diagnostics. His research extends to creating novel datasets for image recognition tasks, such as VinaFood21 for Vietnamese food recognition, and exploring text-based retrieval for 3D animal models. Nguyen has a publication record of 35 papers, with 113 citations, and an h-index of 7. He collaborates with researchers including Pha Nguyen, Jackson Cothren, and Tam Nguyen at the University of Arkansas at Fayetteville.
Metrics
- h-index: 7
- Publications: 35
- Citations: 113
Selected Publications
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation (2025) DOI
- VOI-VR: Voice-Driven Object Interaction in Virtual Reality with Large Language Models (2025) DOI
- MedGraph-RPE: Graph-Based Medical Segmentation Enhanced by Novel Relative Positioning Encoding (2025) DOI
- DermAI: A Chatbot Assistant for Skin Lesion Diagnosis Using Vision and Large Language Models (2025) DOI
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