Wen Cheng
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Assistant Professor of Computer Science
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Wen Cheng's research has focused on computational approaches to biological pattern recognition and the application of artificial intelligence in various domains. Recent publications include work on object localization using vision transformers, the development of graph-based methods for mining biological patterns in protein-RNA interfaces, and detecting periodicity in alpha-helix structures with Fourier transforms. Cheng has also explored the design of intelligent tutors in virtual environments and the broader implications of artificial intelligence.
With a h-index of 3 and 14 total publications, Cheng's work has accumulated 16 citations. Collaboration is evident through shared publications with Hong Cheng at Southern Arkansas University. The researcher's recent activity indicates ongoing engagement in academic pursuits, with a publication listed as recent as 2026.
Metrics
- h-index: 3
- Publications: 14
- Citations: 16
Selected Publications
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Comparative Analysis of Color Invariants for Image Retrieval (2025)
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Object Localization Using Vision Transformer with a Loss Function Based on IOU and Mean Squared Error (2023)
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A Graph Method for Predicting Protein-RNA Interaction Using Reduced Amino Acid Alphabets (2023)
Collaboration Network
Top Collaborators
- Object Localization Using Vision Transformer with a Loss Function Based on IOU and Mean Squared Error
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