基本信息
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Bio
Chang-Tien Lu is a professor in the Department of Computer Science and associate director of the Discovery Analytics Center at Virginia Tech. He served as secretary (2008-2011) and vice chair (2011-2014) of the ACM Special Interest Group on Spatial Information (ACM SIGSPATIAL).
His research on data management is to fulfill emerging requirements for storing, analyzing, and visualizing spatial data. His ongoing projects range from explorations of fundamental access and retrieval issues to practical applications that deal with data analysis and knowledge discovery tasks. These projects have led to the publication of numerous high-quality research papers and the production of innovative prototype systems. They are also helping professionals in many fields to react quickly and make effective decisions in time-sensitive applications. His major contributions include efficient mining algorithms and sophisticated storage structures that can be scaled up to process large scale data, as well as the formalization of spatial patterns and trends.
His research on data management is to fulfill emerging requirements for storing, analyzing, and visualizing spatial data. His ongoing projects range from explorations of fundamental access and retrieval issues to practical applications that deal with data analysis and knowledge discovery tasks. These projects have led to the publication of numerous high-quality research papers and the production of innovative prototype systems. They are also helping professionals in many fields to react quickly and make effective decisions in time-sensitive applications. His major contributions include efficient mining algorithms and sophisticated storage structures that can be scaled up to process large scale data, as well as the formalization of spatial patterns and trends.
Research Interests
Papers共 327 篇Author StatisticsCo-AuthorSimilar Experts
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Heliyonpp.e28198, (2024)
arXiv (Cornell University) (2024): 12073-12086
arXiv (Cornell University) (2024)
CoRR (2024)
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EMNLP 2024 (2024): 16514-16575
CoRR (2024)
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ICRA 2024 (2024)
Mohammad Beigi,Sijia Wang,Ying Shen,Zihao Lin, Adithya Kulkarni, Jianfeng He,Feng Chen,Ming Jin,Jin-Hee Cho, Dawei Zhou,Chang-Tien Lu,Lifu Huang
CoRR (2024)
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Author Statistics
#Papers: 327
#Citation: 7203
H-Index: 40
G-Index: 73
Sociability: 6
Diversity: 3
Activity: 44
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