Ming-Jun Chen

Ming-Jun Chen Email and Phone Number

Engineer Manager and Staff Software Engineer @ Google
Sunnyvale, CA, US
Ming-Jun Chen's Location
Sunnyvale, California, United States, United States
Ming-Jun Chen's Contact Details

Ming-Jun Chen personal email

n/a
About Ming-Jun Chen

Machine learning engineer working on improving the personalized ranking of Google Shopping Ads.

Ming-Jun Chen's Current Company Details
Google

Google

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Engineer Manager and Staff Software Engineer
Sunnyvale, CA, US
Website:
goo.gle/3DLEokh
Employees:
315106
Company phone:
916.253.7820
Ming-Jun Chen Work Experience Details
  • Google
    Engineer Manager And Staff Software Engineer
    Google
    Sunnyvale, Ca, Us
  • Google
    Engineer Manager/Staff Software Engineer
    Google Jun 2016 - Present
    Mountain View, Ca, Us
    Current Manager of Perf Intel team at Google AdsPastManager of Health Insight team under Google Research.Lead a team mix of SWEs and Researchers to conduct research on medical data and develop ranking models that aim for improving the efficiency of US healthcare system. Research publications(shorturl.at/bpzJV) from my team in 2022. Manager of Shopping ads syndication quality team, I led a team to retrieve and rank shopping ads on YouTube home and watch pages. IC/Tech Lead/Manager of Shopping ads personalization team. I led the shopping ads personalization effort; my team developed user models/signals and applied them to a diverse set of models inside ads ranking stack.
  • Groupon
    Sr. Relevance Algorithms Engineer
    Groupon Jun 2014 - May 2016
    Chicago, Il, Us
    Built and productionized end to end machine learning systems for personalized ranking.
  • Expedia
    Software Development Engineer Ii
    Expedia Feb 2013 - Jun 2014
    Seattle, Wa, Us
    Built machine learning systems that determine the best itinerary for users.
  • The University Of Texas At Austin
    Graduate Research Assistant
    The University Of Texas At Austin Sep 2008 - Dec 2012
    Austin, Tx, Us
    Researched and built ML models to predict image quality. • Developed 2D/3D image quality assessment models• Developed a real-time quality assessment algorithm (Code available at https://sites.google.com/site/mingjunchen/Home/SSIM-setup.zip?attredirects=0&d=1).
  • Texas Instruments
    Summer Intern, Spe, Visual Technology Center
    Texas Instruments Jun 2012 - Aug 2012
    Dallas, Tx, Us
    • Designed an automatic tuning algorithm to optimize visual quality of processed images on noise filter and defect pixel correction modules inside OMAP4. • Developed a new quality assessment model and designed a DP algorithm to solve the problem of searching on high dimensional space.• Proposed an algorithm delivers better visual quality than manual tuning and only takes hours while an expert needs weeks to finish the same task.
  • Texas Instruments
    Summer Intern, Systems And Applications R&D Center
    Texas Instruments Jun 2011 - Aug 2011
    Dallas, Tx, Us
    • Optimized the 3D presentation of stereo images.• Published part of this work in three conference papers.• Filed three 3D-related patent applications (one has been published).
  • Texas Instruments
    Summer Intern,Systems And Applications R&D Center
    Texas Instruments Jun 2010 - Aug 2010
    Dallas, Tx, Us
    • Designed a stereoscopic quality assessment model for stereo 3D encoding.• Modeled the masking effects of stereoscopic 3D images.
  • Cyberlink
    Senior Engineer & Assistant Manager
    Cyberlink Oct 2003 - Jun 2008
    New Taipei City, Tw
    • Led a team of five engineers to productize eight projects. • Led and developed the sports video summarization project (CyberLink MagicSports), which won Consumer Electronics Show (CES) best innovation award honoree in 2007. This product was tested with hundreds of sports games (thousands of hours of videos) and delivered a high performance in detecting sports events (both recall and precision rates are above 95%). • Developed a commercial detection algorithm, an audio noise reduction algorithm, a sports video summarization module, and a home video summarization algorithm. These algorithms/modules are currently used in varied CyberLink products. • Implemented/optimized H.264 decoder and AAC encoder.• Filed fourteen U.S. patent applications and six of them were granted as U.S. patents. • Built auto-testing process for varied algorithms. This auto-testing process creates an objective measurement for the performance of video processed algorithms.

Ming-Jun Chen Skills

Algorithms C++ Machine Learning Software Engineering Image Processing Matlab Programming Computer Science Python Latex Data Mining Computer Vision Software Development Linux Nlp Java Sse2 Deep Learning Tensorflow Hadoop Ranking Personalization

Ming-Jun Chen Education Details

  • The University Of Texas At Austin
    The University Of Texas At Austin
    Computer Engineering
  • National Cheng Kung University
    National Cheng Kung University
    Computer Science
  • National Cheng Kung University
    National Cheng Kung University
    Computer Science

Frequently Asked Questions about Ming-Jun Chen

What company does Ming-Jun Chen work for?

Ming-Jun Chen works for Google

What is Ming-Jun Chen's role at the current company?

Ming-Jun Chen's current role is Engineer Manager and Staff Software Engineer.

What is Ming-Jun Chen's email address?

Ming-Jun Chen's email address is mc****@****pon.com

What schools did Ming-Jun Chen attend?

Ming-Jun Chen attended The University Of Texas At Austin, National Cheng Kung University, National Cheng Kung University.

What skills is Ming-Jun Chen known for?

Ming-Jun Chen has skills like Algorithms, C++, Machine Learning, Software Engineering, Image Processing, Matlab, Programming, Computer Science, Python, Latex, Data Mining, Computer Vision.

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