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个人简介
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).
研究兴趣
论文共 153 篇作者统计合作学者相似作者
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IEEE Internet of Things Journalno. 20 (2023): 18387-18399
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SSRN Electronic Journal (2023): 107360
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IEEE Sensors Lettersno. 4 (2023): 1-4
J. Parallel Distributed Comput. (2023): 17-27
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)pp.23652-23662, (2023)
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The Journal of Nutritionno. 10 (2023): 3110-3121
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arxiv(2023)
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CoRR (2023)
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Yue Gurt Ge,Naim Kapucu,Christopher W. Zobel,Samiul Hasan,Jeremy L. Hall,Haizhong Wang,Liqiang Wang,Yago Martin, Michelle Cechowski
PUBLIC ADMINISTRATION REVIEW (2023)
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