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

I am still interested in academic activities such as paper reviewing, on topics such as video analysis, social context for machine vision, and large-scale learning.

Moved to the Bay Area.


Code for our UAI paper is maintained here. More details/cleanings to come. Comments are welcome!

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 Software Engineer at Google at Mountain View, CA, working on machine learning for personal search (gmail, drive, calendar, etc.). 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 (01/2017 - present): Google Inc., Mountain View, CA, with Dr. Donald Metzler. Search quality in Google apps (gmail, drive, calendar, etc.)
  • 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 applications in areas such as computer vision, social network, data mining and industrial applications.

I have been working on various topics such as high-order multi-target tracking, image classification, shape retrieval, social network analysis, automatic industrial inspection systems, and large-scale online learning. I am also interested in any other interesting computer vision problems.

I served as a PC member for AAAI 2017. I am a reviewer for IEEE Transactions on Image Processing (TIP), 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, SIGIR, and KDD.

Selected Publications (For a full list with pdf/link, click here)

Zhen Qin, Ish Rishabh and John Carnahan. "A Scalable Approach for Periodical Personalized Recommendations." 10th ACM Conference on Recommender Systems (RecSys 2016)(ORAL)

Zhen Qin and Christian R. Shelton. "Social Grouping for Multi-target Tracking and Head Pose Estimation in Video." IEEE Transanctions on Pattern Analysis and Machine Intelligence (PAMI)

Zhen Qin and Christian R. Shelton. "Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models." 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015)

Xiaojing Chen, Zhen Qin, Le An and Bir Bhanu. "An Online Learned Elementary Grouping Model for Multi-target Tracking." 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014)

Zhen Qin, Christian R. Shelton and Lunshao Chai. "Social Grouping for Target Handover in Multi-view Video." 2013 IEEE Conference on Multimedia and Expo (ICME 2013) (ORAL, Best Paper Candidate)

Zhen Qin, Vaclav Petricek, Nikos Karampatziakis, Lihong Li and John Langford. " Efficient Online Bootstrapping for Large Scale Learning." Workshop on Parallel and Large-scale Machine Learning at Neural Information Processing 2013(BigLearning@NIPS 2013)

Zhen Qin and Christian R. Shelton. "Improving Multi-target Tracking via Social Grouping." 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012)

Courses Tought as TA

CS 008: Introduction to Computing
CS 030: Introduction to Computational Science and Engineering
CS 179E: Project in Computer Science (Compiler)
CS 180: Introduction to Software Engineering


My hometown, Jinan.
How to pronounce Chinese names
My Weibo (Chinese Twitter) is here
My Facebook is here
Thank my friend Kun He for the HTML template (simplest one I can find. He has changed to something (arguably) nicer). I found the css template from Dr. Kun Duan's webpage .

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