基本信息
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职业迁徙
个人简介
Chao's research interests mainly focus on statistical learning of large-scale biomedical data including clinical, imaging, and genomic data. The goal of his research is to develop novel statistical methods and machine learning (deep learning) algorithms for analyzing data with complex structures, including high dimensional data, functional data, manifold data and data with heterogeneity. These statistical methods and computational tools can help us understand the disease progression and improve clinical trials for the treatment and early prevention.
研究兴趣
论文共 46 篇作者统计合作学者相似作者
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期刊级别
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BIOMETRICSno. 1 (2024)
TESTno. 1 (2024): 1-8
Mathematicsno. 4289 (2023): 4289-4289
FRONTIERS IN NEUROSCIENCE (2023): 1337411-1337411
medrxiv(2023)
SoutheastCon 2023pp.901-905, (2023)
TESTno. 1 (2023): 1-47
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作者统计
#Papers: 46
#Citation: 844
H-Index: 16
G-Index: 28
Sociability: 6
Diversity: 3
Activity: 37
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