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Dr. Howie Huang is a Full Professor in Department of Electrical and Computer Engineering and Director of the GraphLab (Graph Computing Lab) at the George Washington University (GWU). He also holds a courtesy appointment in Department of Computer Science and is an affiliated faculty member in Institute for Data, Democracy & Politics (IDDP) at GWU. Motivated by the needs of big data and cybersecurity applications, he works at the intersection of graph algorithms, computer architecture and systems, with focus on developing high-performance computing and machine learning techniques tailored for large-scale graph datasets. His GraphLab explores novel applications of graph-based knowledge discovery in computer systems, cybersecurity, social networks, biology and health. Over the years his research has been supported by around 20 grants of $6.5M from the National Science Foundation (NSF), the Defense Advanced Research Projects Agency (DARPA), and Department of Defense (DoD), as well as leading companies including Raytheon, IBM, NVIDIA and Comcast.
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论文共 131 篇作者统计合作学者相似作者
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Yejin Kim,Scott Rome,Kevin Foley, Mayur Nankani, Rimon Melamed, Javier Morales, Abhay Yadav, Maria Peifer,Sardar Hamidian,H. Howie Huang
arxiv(2024)
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ACM Transactions on Parallel Computing (2023)
2023 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE, HPECpp.1-6, (2023)
CoRR (2023)
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PROCEEDINGS OF THE 26TH INTERNATIONAL SYMPOSIUM ON RESEARCH IN ATTACKS, INTRUSIONS AND DEFENSES, RAID 2023pp.77-91, (2023)
arXiv (Cornell University) (2023)
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ACM Transactions on Privacy and Securityno. 3 (2023): 1-36
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