Yaodong WANG

Senior Software Engineer at WeChat
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Contact Information
us****@****om
(386) 825-5501
Location
Guangzhou, Guangdong, China, CN

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Credentials

  • CUDA Programming
    英伟达
    Dec, 2020
    - Nov, 2024

Experience

  • WeChat
    • China
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Senior Software Engineer
      • Sep 2021 - Present

      WeChat WeChat

  • Tencent
    • China
    • Software Development
    • 700 & Above Employee
    • Software Engineer
      • Dec 2019 - Sep 2021

      Improve the performance of training procedure among multiple GPUs. Using profiling tools to locate bottlenecks of program and accelerate it.

    • Software Engineer Intern
      • Jun 2019 - Nov 2019

      Focused on optimization of TensorFlow. Made contributions to TensorFlow on Github.

  • British Council
    • United Kingdom
    • Non-profit Organizations
    • 700 & Above Employee
    • Exam Service Officer
      • Jun 2017 - Dec 2020

  • Lenovo
    • China
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Lenovo H.K. Lab Intern
      • Dec 2018 - Mar 2019

      Implement large scale distributed system for Lenovo Machine Intelligence Platform Implement large scale distributed system for Lenovo Machine Intelligence Platform

  • The University of Hong Kong
    • Hong Kong
    • Higher Education
    • 700 & Above Employee
    • Research Program Assistant
      • Sep 2018 - Dec 2018

      Following Prof. C.L. Wang, working on distributed training of deep neural networks on large scale clusters and workers. Our research group introduce a new parameter server design, which solves problems in memory useage and synchronization Following Prof. C.L. Wang, working on distributed training of deep neural networks on large scale clusters and workers. Our research group introduce a new parameter server design, which solves problems in memory useage and synchronization

  • Tencent
    • China
    • Software Development
    • 700 & Above Employee
    • AI-Lab Internship
      • Apr 2018 - Aug 2018

      Following Dr. Wenhan Luo, I engaged in a Silent Face Anti-spoof Project. Goal: to develop algorithm for silent face anti-spoof (face liveness detection without user cooperation), and deploy it to Tencent products. · 99% positive pass rate, and nearly 100% rejection rate of negative samples. In real-world products, success rate of engine call is improved from 50% to 70%, success rate of user call is improved from 85% to 90%. · Built a Django based web service. · Main tools & frames: Tensorflow, Caffe, C++, Python. Show less

Education

  • The University of Hong Kong
    Master of Science - MS, Computer Science
    2018 - 2020
  • Rutgers University–New Brunswick
    Exchange Student, Electronic Engineering
    2016 - 2016
  • South China University of Technology
    Bachelor of Engineering - BE, Electronic & Information Engineering
    2013 - 2017
  • South China University of Technology
    Master's degree, Computer Science
    2017 - 2018

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