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Bio
Liqiang (Eric) Wang is an associate professor in the Department of Computer Science at the University of Central Florida. He is the director of Big Data Computing Lab. He was a faculty member (2006-2015) in the Department of Computer Science at the University of Wyoming. He was a visiting Research Scientist in IBM T.J. Watson Research Center during 2012-2013.
His research focuses on integrating deep learning, parallel computing, and program analysis, which includes the following aspects: (1) improving the robustness, accuracy, speed, and scalability of deep learning; (2) optimizing performance, scalability, resilience, and resource management of big data processing, especially on Cloud, GPU, and multicore platforms; (3) using hybrid program analysis to detect and avoid programming errors, execution anomaly, as well as performance defects in large-scale parallel computing systems.
He received NSF CAREER Award in 2011 and Castagne Faculty Fellowship (2013-2015).
His research focuses on integrating deep learning, parallel computing, and program analysis, which includes the following aspects: (1) improving the robustness, accuracy, speed, and scalability of deep learning; (2) optimizing performance, scalability, resilience, and resource management of big data processing, especially on Cloud, GPU, and multicore platforms; (3) using hybrid program analysis to detect and avoid programming errors, execution anomaly, as well as performance defects in large-scale parallel computing systems.
He received NSF CAREER Award in 2011 and Castagne Faculty Fellowship (2013-2015).
Research Interests
Papers共 158 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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ACCIDENT ANALYSIS AND PREVENTION (2024): 107360-107360
AAAI 2024no. 13 (2024): 14811-14819
IEEE Internet of Things Journalno. 20 (2023): 18387-18399
INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS (2023)
International Conference on Parallel and Distributed Systemspp.248-253, (2023)
IEEE Sensors Lettersno. 4 (2023): 1-4
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