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个人简介
Qu’s research focuses on solving fundamental issues regarding unstructured large-scale data, developing cutting-edge statistical methods and theory in machine learning and algorithms on text sentiment analysis, automatic tagging and summarization, recommender systems, tensor imaging data and network data analyses for complex heterogeneous data, and achieving the extraction of essential information from large volume high-dimensional data. Her research has impacts in many different fields such as biomedical studies, genomic research, public health research, and social and political sciences.
研究兴趣
论文共 126 篇作者统计合作学者相似作者
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The Annals of Applied Statisticsno. 2 (2024)
arxiv(2024)
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Statistica Sinica (2024)
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JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2024)
SLEEPno. Supplement_1 (2023): A388-A388
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arXiv (Cornell University) (2023)
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Yubai Yuan,Qi Xu,Agaz Wani, Jan Dahrendor,Chengqi Wang,Janelle Donglasan, Sarah Burgan,Zachary Graham,Monica Uddin,Derek Wildman,Annie Qu
biorxiv(2023)
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