Weiqiang Dong
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Biography and Research Information
OverviewAI-generated summary
Weiqiang Dong's research focuses on image processing and decision fusion techniques. His work includes developing methods for detecting image sharpening, a key aspect of image forensics. Dong has also investigated decentralized Bayesian decision fusion, exploring concepts such as dependent randomization and feedback algorithms to improve detection performance and complexity tradeoffs in parallel systems. His recent publications also touch upon sensors for autonomous vehicles. Dong has one shared publication with Jie Zhou from Southern Arkansas University.
Metrics
- h-index: 1
- Publications: 2
- Citations: 1
Selected Publications
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Distribution-Aware Outlier Detection in High Dimensions: A Scalable Parametric Approach (2025)
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Distribution-Aware Outlier Detection in High Dimensions: A Scalable Parametric Approach (2025)
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Contributors (2024)
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Sensors for autonomous vehicles (2024)
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- Distribution-Aware Outlier Detection in High Dimensions: A Scalable Parametric Approach
- Distribution-Aware Outlier Detection in High Dimensions: A Scalable Parametric Approach
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