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Hui Tan Phones & Addresses

  • San Francisco, CA

Resumes

Resumes

Hui Tan Photo 1

Online Data Entry At Parents For Public Schools-Sf

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Position:
Online Data Entry at Parents for Public Schools-SF
Location:
San Francisco Bay Area
Industry:
Civic & Social Organization
Work:
Parents for Public Schools-SF since Dec 2009
Online Data Entry
Education:
San Francisco State University 2007 - 2011
Bachelor of Arts (BA), Research and Public Policy of Child Development
Interests:
Child Advocacy
Languages:
Chinese
Hui Tan Photo 2

Senior Software Engineer At Google

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Position:
Senior Software Engineer at Google
Location:
San Francisco Bay Area
Industry:
Computer Networking
Work:
Google since Jun 2006
Senior Software Engineer

Cornell University Sep 2004 - May 2006
Research Assistance

Cornell University Sep 2003 - May 2004
Teaching Assistance
Education:
Cornell University 2003 - 2006
MS, Computer Science
Tsinghua University 1999 - 2003
BE, Computer Science
Changchun 11th high school 1996 - 1999
Skills:
Distributed Systems
Algorithms
Python
Hadoop
Information Retrieval
Scalability
Machine Learning
Software Engineering
C++
Java
Computer Science
Perl
Linux
MapReduce
C
Hui Tan Photo 3

Senior Resarch Scientist At Xia Llc

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Position:
Senior Resarch Scientist at XIA LLC
Location:
San Francisco Bay Area
Industry:
Electrical/Electronic Manufacturing
Work:
XIA LLC
Senior Resarch Scientist
Education:
Tsinghua University
Hui Tan Photo 4

Hui Tan

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Location:
San Francisco Bay Area
Industry:
Telecommunications
Hui Tan Photo 5

Hui Tan

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Location:
United States

Business Records

Name / Title
Company / Classification
Phones & Addresses
Hui Xian Tan
President
McCoy Furniture , Inc
206 Airport Blvd, South San Francisco, CA 94080

Publications

Us Patents

Cross-Language Search

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US Patent:
8250046, Aug 21, 2012
Filed:
Apr 9, 2009
Appl. No.:
12/421163
Inventors:
Maureen Heymans - San Francisco CA, US
Alexandre Kojoukhov - San Francisco CA, US
Hui Tan - Mountain View CA, US
Jeffrey Chin - San Francisco CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707703, 707736, 707758, 707759, 704 8, 704 9
Abstract:
Methods, systems, and apparatus, including computer program products, in which a cross-language search can be performed. A search query is received in a first language. A translated search query of the search query is obtained and evaluated to determine whether it is a candidate for cross-language searching. Upon identifying a candidate, a search can be performed using the translated search query to generate search results relevant to the translated search query.

Detection Of Coincident Radiations In A Single Transducer By Pulse Shape Analysis

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US Patent:
20070051892, Mar 8, 2007
Filed:
Jun 27, 2006
Appl. No.:
11/426762
Inventors:
William Warburton - Menlo Park CA, US
Hui Tan - Newark CA, US
Wolfgang Hennig - Fremont CA, US
International Classification:
G01T 1/20
US Classification:
250362000
Abstract:
Pulse shape analysis determines if two radiations are in coincidence. A transducer is provided that, when it absorbs the first radiation produces an output pulse that is characterized by a shorter time constant and whose area is nominally proportional to the energy of the absorbed first radiation and, when it absorbs the second radiation produces an output pulse that is characterized by a longer time constant and whose area is nominally proportional to the energy of the absorbed second radiation. When radiation is absorbed, the output pulse is detected and two integrals are formed, the first over a time period representative of the first time constant and the second over a time period representative of the second time constant. The values of the two integrals are examined to determine whether the first radiation, the second radiation, or both were absorbed in the transducer, the latter condition defining a coincident event.

Cross-Language Information Retrieval

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US Patent:
20080288474, Nov 20, 2008
Filed:
Apr 29, 2008
Appl. No.:
12/111888
Inventors:
Jeffrey Chin - San Francisco CA, US
Maureen Heymans - San Francisco CA, US
Alexandre Kojoukhov - San Francisco CA, US
Jocelyn Lin - Menlo Park CA, US
Hui Tan - Mountain View CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707 4, 707E17014
Abstract:
Methods, systems, and apparatus, including computer program products, for cross-language information retrieval. A source query in a source language is received. The source query is translated into a target query in a target language. One or more target-language resources that satisfy the target query are identified. The identified resources are translated into the source language. Search results corresponding to the translated resources are presented.

Cross-Language Search

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US Patent:
20090083243, Mar 26, 2009
Filed:
Sep 22, 2008
Appl. No.:
12/235558
Inventors:
Maureen Heymans - San Francisco CA, US
Alexandre Kojoukhov - San Francisco CA, US
Hui Tan - Mountain View CA, US
Jeffrey Chin - San Francisco CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 7/06
G06F 17/30
US Classification:
707 4, 707E17014
Abstract:
Methods, systems, and apparatus, including computer program products, in which a cross-language search can be performed. A search query can be examined to determine whether it is a candidate for cross-language searching. Upon identifying a candidate, the search can be performed using a translated search query associated with the search query. The results of the translated search query can be served to the client device submitting the search query.

Clustering Communications Based On Classification

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US Patent:
20160314182, Oct 27, 2016
Filed:
Sep 18, 2014
Appl. No.:
14/414855
Inventors:
- Mountain View CA, US
Hui Tan - Palo Alto CA, US
Zhiyu Wang - Beijing, CN
Jinan Lou - Cupertino CA, US
International Classification:
G06F 17/30
H04L 12/26
Abstract:
Methods and apparatus related to clustering documents based on one or more classification terms and optionally based on similarity of structural paths of the documents. In some implementations, the documents are communications such as structured emails or other structured communications. In some of those implementations, clustering the communications includes identifying a plurality of classification terms indicative of a classification, identifying a corpus of communications that includes communications that are not labeled with an association to the classification, and determining a cluster of the communications based on occurrence of one or more of the classification terms in the communications of the cluster.
Hui F Tan from San Francisco, CA Get Report