基本信息
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职业迁徙
个人简介
Wang's research seeks to advance knowledge through modeling objects, concepts, aesthetics, and emotions in big visual data. Formerly with the Biomedical Informatics Group and the Computer Science InfoLab at Stanford, he undertakes work that makes possible the understanding of images based on machine learning and statistical modeling. Among other contributions, he and his collaborators have developed the SIMPLIcity semantics-sensitive image retrieval system, the ALIPR real-time computerized image tagging system, and the ACQUINE aesthetic quality inference engine. Their research has been applied to several domains including biomedical image analysis, satellite imaging, photography, and art and cultural imaging.
研究兴趣
论文共 322 篇作者统计合作学者相似作者
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EXPERT SYSTEMS WITH APPLICATIONS (2024)
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCEno. 1 (2024): 33-42
Patternsno. 5 (2024): 100964-100964
Yimu Pan,Tongan Cai, Manas Mehta,Alison D. Gernand,Jeffery A. Goldstein,Leena Mithal, Delia Mwinyelle,Kelly Gallagher,James Z. Wang
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT VI (2023): 116-126
Modeling Visual Aesthetics, Emotion, and Artistic Stylepp.331-347, (2023)
Computerized medical imaging and graphics (2023): 102236-102236
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作者统计
#Papers: 322
#Citation: 24232
H-Index: 60
G-Index: 152
Sociability: 6
Diversity: 2
Activity: 44
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