Xiaowen Ying

Senior Machine Learning Engineer at QUALCOMM TECHNOLOGIES INTERNATIONAL, LTD.
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Contact Information
us****@****om
(386) 825-5501
Location
San Diego, California, United States, US
Languages
  • Engilish Professional working proficiency
  • Chinese (Simplified) Native or bilingual proficiency

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Experience

    • United Kingdom
    • Appliances, Electrical, and Electronics Manufacturing
    • 100 - 200 Employee
    • Senior Machine Learning Engineer
      • Aug 2022 - Present
    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Aug 2017 - Jul 2022

    • Graduate Teaching Assistant
      • Jan 2020 - May 2020

      CSE343/443 Network Security

    • Graduate Teaching Assistant
      • Jan 2019 - May 2019

      CSE012 - Survey to Computer Science

    • United States
    • Telecommunications
    • 700 & Above Employee
    • Interim Engineering Intern
      • May 2021 - Aug 2021

      - Engaged in a research project related to depth-assisted (RGB-D) Segmentation. - Designed and implemented a novel framework that achieves significant performance gain over existing solutions. - Engaged in a research project related to depth-assisted (RGB-D) Segmentation. - Designed and implemented a novel framework that achieves significant performance gain over existing solutions.

    • Interim Engineering Intern
      • May 2020 - Aug 2020

      - Engaged in research project related to deep-learning based semantic segmentation on video. - Designed and implemented novel mechanisms to improve the segmentation results on object edges and improve the temporal consistency across video frames. - Engaged in research project related to deep-learning based semantic segmentation on video. - Designed and implemented novel mechanisms to improve the segmentation results on object edges and improve the temporal consistency across video frames.

    • Interim Engineering Intern
      • May 2019 - Aug 2019

      Engaged in research projects related to efficient real-time DL-based semantic segmentation on edge devices. Engaged in research projects related to efficient real-time DL-based semantic segmentation on edge devices.

Education

  • Lehigh University
    Doctor of Philosophy - PhD, Computer Science
    2017 - 2021
  • University of Illinois at Chicago
    Master of Science (M.S.), Electrical and Electronics Engineering
    2015 - 2017
  • Northeastern University (CN)
    Bachelor of Engineering (B.E.), Automation
    2012 - 2016

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