Google Inc.

Mountain View, CA 94043
Email: zqin001@cs.ucr.edu or {firstname+lastname}@google.com

2017.01- 2015.08 - 2017.01 2010.09 - 2015.06 2006.09 - 2010.06

What's NEW

Three papers accepted to KDD 2020.

Two papers accepted to WWW 2020.

One paper accepted to WSDM 2020.

One paper accepted to KDD 2019.

One paper accepted to WWW 2019.


Anyone working on big data should check out Vowpal Wabbit, for which I am a contributor.


HI! My name is Zhen Qin. I am a Senior Machine Learning track Software Engineer at Google at Mountain View, CA, working on machine learning for healthcare. My Linkedin is here.

I received my PhD degree in Computer Science from University of California, Riverside in 2015. I was pleased to do research in Dr.Christian Shelton (who is brilliant)'s group. Prior to coming to UCR, I obtained my Bachelor's degree in Information Engineering at Beijing University of Posts and Telecommunications (BUPT), in June 2010. I was a member of the Pattern Recognition and Intelligence System Laboratory there, working with Dr.Honggang Zhang.


Work Experience

  • Software Engineer, Machine Learning (01/2017 - present): Google Inc., Mountain View, CA, with Tensorflow Ranking team. Building state-of-art large scale ranking algorithm and systems. Before 03/2020, with Dr. Evgeniy Gabrilovich. Machine learning for healthcare under Googld Health (part of Google Research). Before 08/2018 worked with Dr. Donald Metzler. Search quality and intelligence in Google apps (gmail, drive, calendar, etc.). Senior Software Engineer since 10/2018.
  • Senior Data Scientist (08/2015 - 01/2017): Ticketmaster, Hollywood, CA. Contextual bandits, online learning, personalized recommendations, SEM (search engine marketing)
  • Software Engineering Intern (06/2014 - 09/2014): Google Inc., Mountain View, CA, with Dr. Shinko Cheng and Dr. Shengyang Dai. Made AutoAwesome under G+ photos more awesome.
  • Machine Learning Intern (06/2013 - 09/2013): eHarmony Matching Team, Santa Monica, CA, with Dr. Vaclav Petricek. Worked on Vowpal Wabbit (awesome large-scale online learning package) improvements.
  • Summer R&D Intern (06/2012 - 09/2012): Sharp Laboratories of America, Camas, Washington, with Dr. Peter van Beek. Worked on defect detection on LCD TV panels.


My general research interests lie in machine learning and optimization methods, with various applications areas, such as healthcare, computer vision, information retrieval, social network, data mining, and industrial applications.

I served as a PC member for WSDM2021, SIGIR 2020, WWW 2020, SIGIR 2019, AAAI 2018, AAAI 2017. I am a reviewer for IEEE Transactions on Image Processing (TIP), IEEE Transanctions on Multimedia (TMM), IEEE Transactions on Circuits and Systems for Video Technology (CSVT), IET Computer Vision Journal, Computer Vision and Image Understanding (CVIU), Image and Vision Computing (IVC), Knowledge and Information Systems (KAIS), and International Conference on Image Processing (ICIP). I am an external reviewer for ICDM, SDM, CIKM, and KDD.

Publications (My Google Scholar profile is up-to-date.)


My hometown, Jinan.
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