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Catherine/Kexin Rong Research Support, WRRC. Phone: (808) 956-3099. E- mail: krong@hawaii.edu. Education: MS, Applications in Environmental Science,
Their office hours usually start in the fall; they'll be held in Gates B02. 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 … 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 Rong c. Department of Computer Science, Stanford University, 353 Serra Mall, Gates Computer Science Building, Stanford, California 94305 U.S.A.
Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri Stanford InfoLab ABSTRACT While data volumes continue to rise, the capacity of human attention remains limited. As a result, users need analytics engines that can assist in prioritizing attention in this fast data that is too large for manual inspection. We present a set of design principles Paris Siminelakis * 1Kexin Rong Peter Bailis1 Moses Charikar 1Philip Levis Abstract Kernel methods are effective but do not scale well to large scale data, especially in high dimensions where the geometric data structures used to accel-erate kernel evaluation suffer from the curse of dimensionality. Recent theoretical advances have Kexin Rong is a Ph.D.
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.
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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. 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.
student in Computer Science at Stanford University, co-advised by Professor Peter Bailis and Professor Philip Levis.
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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.
This is a two-day data conference on Oct 30th and 31th with three tracks: DataEng, Data Science and… Zhen Rong Lin is Director at Sichuan Kexin Mechanical & Electrical Equipment Co., Ltd. View Zhen Rong Lin’s professional profile on Relationship Science, the database of decision makers. Kexin Rong, Clara Yoon, Karianne Bergen, Hashem Elezabi, Peter Bailis, Philip Levis, Gregory Beroza.
View Kexin Rong's business profile as Research Support at University of Hawaii. Find contact's direct phone number, email address, work history, and more.
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view refined list in 2021-01-19 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 De senaste tweetarna från @kexinrong Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza. VLDB 2018 LSH VLDB Case Study. In this work, we report on a novel application of Locality Sensitive Hashing (LSH) to seismic data at scale. Firas Abuzaid, Peter Bailis, Jialin Ding, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong and Sahaana Suri. TODS 2018.