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Yuxin Wu Phones & Addresses

    s
  • 588 Bell St #22015, Seattle, WA 98121
  • Newcastle, WA
  • Mountain View, CA
  • Ithaca, NY
  • Wooster, OH

Resumes

Resumes

Yuxin Wu Photo 1

Limited Partner

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Location:
588 Bell St, Seattle, WA 98121
Industry:
Information Technology And Services
Work:
Progression Fund
Limited Partner

Amazon Web Services
User Experience Designer

Amazon Sep 2015 - Oct 2016
Designer

Orbeus Inc. Nov 2014 - Sep 2015
Product Lead Designer

Backpack Feb 2014 - Oct 2014
Product and Marketing Lead
Education:
Cornell University 2012 - 2014
Masters, Master of Arts, Master of Public Administration, Economics, Public Administration
The College of Wooster 2008 - 2012
Bachelors, Bachelor of Arts, Political Science, Studio Art
Skills:
Mandarin
Research
Microsoft Excel
User Experience Design
Product Design
Market Research
User Interface Design
Marketing
English
Illustrator
Indesign
Photoshop
Sketch
Css
Powerpoint
Html
Software Prototyping
Lightroom
French
Product Marketing
User Experience
Information Architecture
Graphic Design
Mobile Applications
Adobe Creative Suite
Interests:
Photography
Hiking
Design
Yuxin Wu Photo 2

Student Teacher

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Location:
Lexington, KY
Work:
Sunset Park High School
Student Teacher
Education:
New York University
Masters, Master of Arts
Yuxin Wu Photo 3

Summer Research Student

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Location:
Seattle, WA
Work:

Summer Research Student
Education:
University of Washington
Yuxin Wu Photo 4

Yuxin Wu

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Education:
University of Virginia
Yuxin Wu Photo 5

Yuxin Wu

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Publications

Us Patents

Techniques For Capturing State Information And Performing Actions For Threads In A Multi-Threaded Computing Environment

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US Patent:
20190073224, Mar 7, 2019
Filed:
Sep 1, 2017
Appl. No.:
15/694673
Inventors:
- Menlo Park CA, US
Yuxin Wu - Sunnyvale CA, US
International Classification:
G06F 9/38
G06F 9/48
G06N 99/00
Abstract:
Techniques are disclosed for implementing an extensible, light-weight, flexible (ELF) processing platform that can efficiently capture state information from multiple threads during execution of instructions (e.g., an instance of a game). The ELF processing platform supports execution of multiple threads in a single process for parallel execution of multiple instances of the same or different program code or games. Upon capturing the state information, one or more threads may be executed in the ELF platform to compute one or more actions to perform at any state of execution by each of those threads. The threads can easily access the state information from a shared memory space and use the state information to implement rule-based and/or learning-based techniques for determining subsequent actions for execution for the threads.
Yuxin Wu from Newcastle, WA, age ~35 Get Report