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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. 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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dismiss all constraints. 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.
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I am broadly interested in designing and building systems to enable data analytics at scale, supporting applications such as scientific analysis, infrastructure monitoring, and analytical queries on big-data 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, … 15 rows View Kexin Rong’s profile on LinkedIn, the world’s largest professional community.
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Sanjiv Kumar Kexin Zhang. GU. Doktorand / PhD student. KEVKUS, Kevyn Aucoin, KEXIN Store, KEXWAXX, KEY, Key Enterprises Inc., Rondo, Roner, Rong, RONG HOME, RONG TABLE, RONGJI, rongji jewelry, hör till en ny grupp kolesterolläkemedel som kallas PCSK9-hämmare (proprotein convertase subtilisin kexin type 9).
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. 2021-01-19 · Colloquium Speaker: Kexin Rong Org: Computer Science Department, Stanford University Talk: “Prioritizing Computation and Analyst Resources in Large-scale Data Analytics”
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.
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Description. Founded in 1885, Stanford University enrolls approximately 6,800 undergraduate and 8,300 graduate students from the United States and around the world. 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.
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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, Authors. Jin Liu , Rong Liu, Kexin Xu. Affiliation. 1 State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, Jianchi Chen, Ying-Yu Ho, Tim Holland, Kexin Rong report: [pdf]; TweetRises. Aleksander Bello, Alexandru Cioc, Victor Duan, Archan Luhar, Louis O'Bryan 10 Jun 2017 This is "Monitorama PDX 2017 - Kexin Rong - Automating Dashboard Displays with ASAP" by Monitorama on Vimeo, the home for high quality Kexin Zang Lu, Song Yang, Shaobin Rong Rong Zhang, Huan Zhang, Hui Liu, Wentao Chen, Guangwu Yang, Maoyuan Lu, Shengzhong Exhibition "Gentle War Kexin Rong, Yao Lu, Peter Bailis, Srikanth Kandula, 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.