5 citations · 5 across the 5 of their papers we have counts for
5 papers
Dissecting Neuro-Symbolic Quality Assurance for Synthetic Oncology Data Generation
Laxmigayathri Challa, Yuhan Zhou, Ana Cleveland +1
Synthetic clinical data generation with large language models addresses the scarcity that limits cancer staging research, but oncology hallucinations are categorically harmful: one…
Modeling and Measuring Redundancy in Multisource Multimodal Data for Autonomous Driving
Yuhan Zhou, Mehri Sattari, Haihua Chen +1
Next-generation autonomous vehicles (AVs) rely on large volumes of multisource and multimodal () data to support real-time decision-making. In practice, data quality (DQ) vari…
Disaster Informatics after the COVID-19 Pandemic: Bibliometric and Topic Analysis based on Large-scale Academic Literature
Ngan Tran, Haihua Chen, Ana Cleveland +1
This study presents a comprehensive bibliometric and topic analysis of the disaster informatics literature published between January 2020 to September 2022. Leveraging a large-scal…
A Novel Multi-layer Task-centric and Data Quality Framework for Autonomous Driving
Yuhan Zhou, Haihua Chen, Kewei Sha
The next-generation autonomous vehicles (AVs), embedded with frequent real-time decision-making, will rely heavily on a large volume of multisource and multimodal data. In real-wor…
A Survey on Data Quality Dimensions and Tools for Machine Learning
Yuhan Zhou, Fengjiao Tu, Kewei Sha +2
Machine learning (ML) technologies have become substantial in practically all aspects of our society, and data quality (DQ) is critical for the performance, fairness, robustness, s…