Peng-Sheng You

Papers

Total Citations

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About

Peng-Sheng You is a researcher focused on data quality and information integration, with a particular emphasis on inconsistency detection and data fusion in complex, real-world environments. His most cited work, "Inconsistency detection and data fusion in USAR task" (2017), addresses a critical challenge in urban search and rescue (USAR) operations: the presence of conflicting and overlapping data in historical reports. You’s contributions center on developing methods to identify and reconcile these inconsistencies, ensuring that query results from fused data are accurate and reliable—a task often overlooked in standard data cleaning processes like schema matching. With 5 citations to this key paper, his research has laid foundational groundwork for improving decision-making in high-stakes scenarios where data integrity is paramount. By tackling the problem of hidden inconsistencies that persist after conventional cleaning, You’s work highlights the nuanced interplay between data fusion and query accuracy, offering practical solutions for emergency response systems. His achievements underscore a commitment to advancing data quality in critical applications, making his research valuable for students and practitioners in data science, information retrieval, and disaster management.