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MacroBase: Prioritizing Attention in Fast Data. F Abuzaid, P Bailis, J Ding, E Gan, S Madden, D Narayanan, K Rong, ACM Transactions on Database Systems

Previously, Kexin was the Masters Student at Ricardo. Get Full Access To Kexin's Info. Export. Share . Kexin Rong Contact Information. Last Update. 4/11/2019 4:00 PM. Email.

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. List of computer science publications by Kexin Rong. extended maintenance, this server becomes temporarily unavailable on Thursday the 8th of April. Firas Abuzaid, Peter Bailis, Jialin Ding, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong and Sahaana Suri. TODS 2018. A Machine-Compiled Database of Genome-Wide Association Studies.

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A Machine-Compiled Database of Genome-Wide Association Studies. Volodymyr Kuleshov, Jialin Ding, Braden Hancock, Alexander Ratner, Christopher Re, Serafim Batzoglou and Michael Snyder. ISMB 2017. Short Paper.

Kexin Rong, Clara Yoon, Karianne Bergen, Hashem Elezabi, Peter Bailis, Philip Levis, Gregory Beroza. VLDB 2018 (Very Large Data Bases) PGAS Access Overhead Characterization in Chapel paper Engin Kayraklioglu, Olivier Serres, Ahmad Anbar, Hashem Elezabi, Tarek El-Ghazawi.

Kexin Liu. (Jun 11, 2019). Published in: Phys.Rev.Accel.Beams 22 (2019) 6, 060701. pdf DOI cite. 1 citation · CEPC Conceptual Design Report: P Bailis, E Gan, S Madden, D Narayanan, K Rong, S Suri. Proceedings of the 2017 ACM International Conference on Management of Data …, 2017. 147, 2017 .

Prevent this user from interacting with your repositories and sending you From Kexin Rong, Stanford Future Data Systems. ASAP: Automatic Smoothing for Attention Prioritization in Time Series ASAP automatically smoothes time series plots to remove short-term noise while retaining large-scale deviations. View Kexin Rong’s profile on LinkedIn, the world's largest professional community. Kexin has 7 jobs listed on their profile. See the complete profile on LinkedIn and discover Kexin’s Read Kexin Rong's latest research, browse their coauthor's research, and play around with their algorithms We would like to show you a description here but the site won’t allow us. Kexin Rong is a Ph.D. student in computer science at Stanford University, co-advised by Professors Peter Bailis and Philip Levis.
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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. Previously, Kexin was the Masters Student at Ricardo.

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Kexin Rong. Schedule. Event Date Description Course Materials; Lecture 1: 6/26: Algorithmic Analysis Concepts: Techniques to analyze correctness and runtime Problems: Comparison-sorting Algorithms: Insertion sort Reading: CLRS 2.1, 2.2, 3 [Slides (Condensed)]

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Kexin Rong is a Ph.D. 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.

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Manage my profile. krong List of computer science publications by Kexin Rong. refinements active!