Weiqiang Dong
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Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Weiqiang Dong's research focuses on developing scalable parametric approaches for outlier detection in high-dimensional datasets. His work addresses the challenge of identifying unusual data points within complex, large-scale data environments. Dong has co-authored publications in this area, including "Distribution-Aware Outlier Detection in High Dimensions: A Scalable Parametric Approach" (2025). He has collaborated with Jie Zhou from Southern Arkansas University on shared publications. Dong's recent activity indicates ongoing engagement in research.
Metrics
- Publications: 2
Selected Publications
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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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