Trong-Thuan Nguyen
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Also affiliated: Vietnam National University Ho Chi Minh City (2021–2025); University of Dayton (2021–2025); Ho Chi Minh City University of Science (2023–2025); University Of Information Technology (2022); Ho Chi Minh City University of Technology (2025)
Formerly Arkansas Graduate Research Assistant, University of Arkansas through 2024.
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Trong-Thuan Nguyen's research focuses on advancing machine learning and computer vision techniques, particularly for applications in document analysis and medical imaging. He has published work on parsing digitized Vietnamese paper documents, developing document detection models, and utilizing object detection for page analysis. Nguyen has also investigated the use of deep learning models, including CNNs and Vision Transformers, for disease recognition in medical images, such as X-rays for COVID-19 diagnosis. His work extends to natural language processing and retrieval, with publications on event retrieval in video collections and text-based retrieval for 3D animal models. Nguyen has a history of collaboration with researchers at the University of Arkansas at Fayetteville, including Pha Nguyen, Jackson Cothren, and Tam Nguyen. His scholarly output includes 37 publications with 135 citations and an h-index of 8.
Metrics
- h-index: 8
- Publications: 37
- Citations: 135
Positions
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Ho Chi Minh City University of Science publications 2023–2025ORCID
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Graduate Research Assistant 2023–2024University of Arkansas at Fayetteville ORCID
Selected Publications
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HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation (2025)
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VOI-VR: Voice-Driven Object Interaction in Virtual Reality with Large Language Models (2025)
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MedGraph-RPE: Graph-Based Medical Segmentation Enhanced by Novel Relative Positioning Encoding (2025)
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DermAI: A Chatbot Assistant for Skin Lesion Diagnosis Using Vision and Large Language Models (2025)
Collaboration Network
Top Collaborators
- DermAI: A Chatbot Assistant for Skin Lesion Diagnosis Using Vision and Large Language Models
- MedGraph-RPE: Graph-Based Medical Segmentation Enhanced by Novel Relative Positioning Encoding
- VOI-VR: Voice-Driven Object Interaction in Virtual Reality with Large Language Models
- DermAI: A Chatbot Assistant for Skin Lesion Diagnosis Using Vision and Large Language Models
- VOI-VR: Voice-Driven Object Interaction in Virtual Reality with Large Language Models
- DermAI: A Chatbot Assistant for Skin Lesion Diagnosis Using Vision and Large Language Models
- VOI-VR: Voice-Driven Object Interaction in Virtual Reality with Large Language Models
- DermAI: A Chatbot Assistant for Skin Lesion Diagnosis Using Vision and Large Language Models
- VOI-VR: Voice-Driven Object Interaction in Virtual Reality with Large Language Models
- VOI-VR: Voice-Driven Object Interaction in Virtual Reality with Large Language Models
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
- HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
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