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Xia Hu
Assistant Professor
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At the DATA Lab, we strive to develop data mining and machine learning algorithms with theoretical properties to better discover actionable patterns from large-scale, networked, dynamic and sparse data. Our research is directly motivated by, and contributes to, applications in social informatics, health informatics and information security. Our work has been featured in the following news media, including ACM TechNews, New Scientist, Defense One, Business Insider, Economic Times, and others.
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WWW '20: The Web Conference 2020
Taipei
Taiwan
April, 2020, pp.153-157, (2020)
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, (2020)
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management
Virt..., pp.325-334, (2020)
IEEE transactions on neural networks and learning systems, (2020)
NeurIPS, (2020)
IEEE transactions on pattern analysis and machine intelligence, (2020): 1-1
BMC Medical Informatics and Decision Making, no. 4 (2020): 1-11
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management
Virt..., pp.895-904, (2020)
Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo,Xia Hu
IJCAI, (2020): 5264-5266
IEEE Transactions on Cognitive and Developmental Systems, pp.1-1, (2020)
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