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Kexin Rong, Clara Yoon, Karianne Bergen, Hashem Elezabi, Peter Bailis, Philip Levis, Gregory Beroza. VLDB, 2018 [seismology paper] An unsupervised, end-to-end earthquake detection pipeline based on pairwise similarity search on seismic waveforms. Kexin Rong is a Ph.D. student in Computer Science at Stanford University, co-advised by Professor Peter Bailis and Professor 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.

Joined 6 years ago · last seen 6 months ago. HomeCompetitions(1). Paris Siminelakis, Kexin Rong, Peter Bailis, Moses Charikar, Philip Levis. Proceedings of the 36th International Conference on Machine Learning, PMLR 2 Mar 2017 From: Kexin Rong [view email] [v1] Thu, 2 Mar 2017 23:09:48 UTC (1,207 KB) [v2 ] Tue, 19 Sep 2017 08:49:09 UTC (1,543 KB). Full-text links: Kexin Rong profile image Kexin Rong. Stanford DAWN Project.

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.

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