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List of computer science publications by Kexin Rong Due to a extended maintenance , this server becomes temporarily unavailable on Thursday the 8th of April . In the mean time, please use server Trier 1 … Kexin Rong is the Research Support at University of Hawaii based in Honolulu, Hawaii. Previously, Kexin was the Masters Student at Ricardo. Get Full Access To Kexin's Info. Export.
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Approximate Partition Selection for Big-Data Workloads using Summary Statistics Kexin Rongy, Yao Luy, Peter Bailis, Srikanth Kandula y, Philip Levis Microsofty, Stanford fkrong,pbailis,pal g@cs.stanford.edu, yflu.yao,srikanth @microsoft.com ABSTRACT Many big-data clusters store data in large partitions that
Find contact's direct phone number, email address, work history, and more. 2019-06-07 · CURIS Coordinators (Griffin Dietz and Kexin Rong) Office: Gates B02 .
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View Kexin Rong's business profile as PhD Candidate at Stanford University. Find contact's direct phone number, email address, work history, and more.
Previously, Kexin was the Masters Student at Ricardo.
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She designs and builds systems to enable data analytics at scale, supporting applications including scientific analysis, infrastructure monitoring, and analytical queries on big data clusters. Kexin Rong (Stanford University) Peter Bailis (Stanford University) Moses Charikar (Stanford University) Philip Levis (Stanford University) Related Events (a corresponding poster, oral, or spotlight) 2019 Poster: Rehashing Kernel Evaluation in High Dimensions DOI: 10.1145/3035918.3035928 Corpus ID: 6441281. MacroBase: Prioritizing Attention in Fast Data @article{Bailis2017MacroBasePA, title={MacroBase: Prioritizing Attention in Fast Data}, author={Peter Bailis and Edward Gan and S. Madden and D. Narayanan and Kexin Rong and Sahaana Suri}, journal={Proceedings of the 2017 ACM International Conference on Management of Data}, year={2017} } Kexin Rong, Yao Lu, Peter Bailis, Srikanth Kandula, and Philip Levis.
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Approximate Partition Selection for Big-Data Workloads using Summary Statistics Kexin Rongy, Yao Luy, Peter Bailis, Srikanth Kandula y, Philip Levis Microsofty, Stanford fkrong,pbailis,pal g@cs.stanford.edu, yflu.yao,srikanth @microsoft.com ABSTRACT Many big-data clusters store data in large partitions that
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Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza.
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2019-06-07
student in computer science at Stanford University, co-advised by Professors Peter Bailis and Philip Levis. She designs and builds systems to enable data analytics at scale, supporting applications including scientific analysis, infrastructure monitoring, and analytical queries on big data clusters. Kexin Rong is the Research Support at University of Hawaii based in Honolulu, Hawaii.
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Kexin Zang Lu, Song Yang, Shaobin Rong Rong Zhang, Huan Zhang, Hui Liu, Wentao Chen, Guangwu Yang, Maoyuan Lu, Shengzhong Exhibition "Gentle War
,. Kexin Liu. (Jun 11, 2019).