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Yong Sheng3855 Carter Dr, South San Francisco, CA 94080

Yong Sheng Phones & Addresses

3855 Carter Dr, South San Francisco, CA 94080    650-8738137   

3855 Carter Dr APT 207, S San Fran, CA 94080    650-8738137   

60 Loehr St, San Francisco, CA 94134    415-4699131   

434 Leavenworth St, San Francisco, CA 94102    415-9316320   

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Yong Sheng resumes & CV records

Resumes

Yong Sheng Photo 39

Technician Lead Manager, Senior Staff Engineer

Location:
San Francisco, CA
Industry:
Internet
Work:
Google since Oct 2007
Staff Software Engineer Dartmouth College Sep 2006 - Sep 2007
Postdoctoral Research Fellow Beijing University of Posts and Telecommunication Apr 1996 - May 2000
Lecturer
Education:
Dartmouth College 2001 - 2006
PhD, Engineering Science Beijing University of Post and Telecommunications 1993 - 1996
MS, Computer Engineering Beijing University of Post and Telecommunications 1988 - 1992
B.E., Computer Engineering
Skills:
Machine Learning, Distributed Systems, Data Mining, Scalability, Algorithms, Java, C++, Big Data, Python, Mapreduce, Software Development, Software Engineering, Sql, C, Linux, Software Design, Optimization, Object Oriented Design, Databases, Computer Science, Display Advertising, Statistical Modeling, Hadoop, Information Retrieval, Design Patterns, Audience Segmentation, Audience Measurement, Search, Natural Language Processing, Search Engine Ranking
Languages:
Mandarin
Yong Sheng Photo 40

Computer

Work:

Computer

Publications & IP owners

Us Patents

Determining A Precision Factor For A Content Selection Parameter Value

US Patent:
2015006, Mar 5, 2015
Filed:
Aug 30, 2013
Appl. No.:
14/014898
Inventors:
- Mountain View CA, US
Yong Sheng - Mountain View CA, US
Arthur Asuncion - Mountain View CA, US
Jonathan Michael Krafcik - Mountain View CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06Q 30/02
US Classification:
705 731
Abstract:
Systems and methods for content selection with precision controls include receiving device identifier data from multiple sources. A machine learning model may be applied to the device identifier data and content selection parameter values may be predicted. Percentiles for the predicted content selection parameter values may be analyzed to determine precision factors for the predicted content selection parameter values.

Content Selection With Precision Controls

US Patent:
2015006, Mar 5, 2015
Filed:
Dec 13, 2013
Appl. No.:
14/105762
Inventors:
- Mountain View CA, US
Yong Sheng - Mountain View CA, US
Arthur Asuncion - Mountain View CA, US
Jonathan Michael Krafcik - Mountain View CA, US
Yiming Li - Beijing, CN
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06Q 30/02
US Classification:
705 1443
Abstract:
Systems and methods for content selection with precision controls include receiving a content selection parameter value and a degree of precision specified by a content provider. A content selection parameter value for a device identifier may be predicted using a predictive model. A precision factor may be associated with the predicted content selection parameter value. Content from the provider may be selected based on a comparison between the predicted selection parameter value and precision factor for the device identifier and the selection parameter value and degree of precision specified by the content provider.

Possible Relatives

Grace Sheng  Huang C Sheng  Huey F Sheng  James K Sheng  Jennifer Sheng  Huanyuan H Sheng  Jin Y Sheng  Yong I Johnson  Yong S White  Yong C Stanley 

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