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Di I Liu

from Gilroy, CA
Age ~60
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Also known as:
Liu Di
Related to:
Zhongqing Liu, 56Xiaohong Liu, 64Chu C Liu, 49Yaolan LiuLin Liu, 65Jin Liu, 53
Connected to:
Adela Liu, 73Alec X Liu, 38Alpha T Liu, 46Amon Y Liu, 58Andrea Y Liu, 46Anqi Liu, 39Arden K Liu, 64Ba S Liu, 62Bailu Liu, 35Ban Liu, 48

Di Liu Phones & Addresses

  • Gilroy, CA
  • Silver Spring, MD
  • San Jose, CA
  • Hyattsville, MD
  • Derwood, MD
  • Beltsville, MD

Resumes

Resumes

Di Liu Photo 1

Di Liu

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Di Liu Photo 2

Di Liu

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Di Liu Photo 3

Di Liu

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Di Liu Photo 4

Di Liu Alexandria, VA

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Work:
Busbee Research, LLC
Atlanta, GA
Jul 2011 to Jan 2012
Advisor (Project Consultant)
Green Tea Ideas, Inc
Fairfax, VA
Apr 2011 to May 2011
Web developer
China Information Technology Security Evaluation Center

May 2009 to Aug 2009
Intern
Institute of Automation, Chinese Academy of Sciences

Jun 2008 to Apr 2009
Research Assistant
Education:
George Washington University - School of Engineering and Applied Science
Washington, DC
Dec 2011
Master of Science in Computer Science
Information and Engineering University
Jul 2008
Bachelor of Science in Information Security
Di Liu Photo 5

Di Liu Fairfax, VA

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Work:
Rividium Inc

Jun 2012 to Present
Jr. Software Developer
Busbee Research, LLC
Washington, DC
Jul 2011 to Jan 2012
Consultant (Part-time)
Green Tea Ideas, Inc
Fairfax, VA
Apr 2011 to May 2011
Web developer (Part-time)
Institute of Automation, Chinese Academy of Sciences

Jun 2008 to Apr 2009
Research Assistant
Education:
George Washington University - School of Engineering and Applied Science
Washington, DC
Dec 2011
Master of Science in Computer Science
Information and Engineering University
Zhengzhou, CN
Jul 2008
Bachelor of Science in Information Security
Skills:
Skills and Expertise Skills: C#, ASP.NET, Silverlight, SQL, C, C++, HTML, CSS, XML, JAVA, Assembly, Python, jQuery, algorithm analysis, network protocols, public key infrastructure, TCP/IP Systems: MS-DOS, MS Windows, Linux (Ubuntu) Software and toolkits: Microsoft Visual Studio, Microsoft SQL Server, Microsoft Team Foundation Server, MFC, MySQL, Dreamweaver, Netbeans, Eclipse, J2EE,

Publications

Us Patents

Ordering Content Items In A Feed Based On Heights Associated With The Content Items

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US Patent:
20160291805, Oct 6, 2016
Filed:
Mar 31, 2015
Appl. No.:
14/675009
Inventors:
- Menlo Park CA, US
Meihong Wang - Sunnyvale CA, US
Di Liu - New York NY, US
Wenjie Fu - Foster City CA, US
Lars Seren Backstrom - San Francisco, CA
International Classification:
G06F 3/0482
G06F 3/0484
H04L 12/58
Abstract:
A social networking system selects and presents content items to a user via a feed. Additionally, the social networking system predicts heights associated with various content items, such as content items selected for presentation via the feed. Characteristics of a content item (e.g., a type of content included in the content item, a language of the content item, and a number of comments associated with the content item) as well as characteristics of a client device associated with the user are used to predict a height associated with the content item. When selecting content items for presentation to the user, the social networking system accounts for the predicted heights of various content items when ordering the content items in the news feed.

Selecting Content Items For Presentation In A Feed Based On Heights Associated With The Content Items

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US Patent:
20160291914, Oct 6, 2016
Filed:
Mar 31, 2015
Appl. No.:
14/674936
Inventors:
- Menlo Park CA, US
Meihong Wang - Sunnyvale CA, US
Di Liu - New York NY, US
Wenjie Fu - Foster City CA, US
Lars Seren Backstrom - San Francisco CA, US
International Classification:
G06F 3/14
G06F 3/0482
H04L 12/58
Abstract:
A social networking system selects and presents content items to a user via a feed. Additionally, the social networking system predicts heights associated with various content items, such as content items selected for presentation via the feed. Characteristics of a content item (e.g., a type of content included in the content item, a language of the content item, and a number of comments associated with the content item) as well as characteristics of a client device associated with the user are used to predict a height associated with the content item. When selecting content items for presentation to the user, the social networking system accounts for the predicted heights of various content items to increase the likelihood of the user interacting with content items presented via the feed.
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Di I Liu from Gilroy, CA, age ~60 Get Report