ZHEN QIN ()

Ph.D.
Department of Computer Science and Engineering, University of California,Riverside

900 University Ave
Riverside, CA 92521
Email: zqin001@cs.ucr.edu

2010.09 - 2015.06 Summer 2014 Summer 2013 Summer 2012 2006.09 - 2010.06


What's NEW

One paper accepted to ACM RecSys 2016 and one paper accepted to TCSVT. (June 2016)

One paper on social context for video analysis accepted to PAMI. (Nov. 2015)

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.

(archive)

Code

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.

Bio

HI! My name is Zhen Qin. I am a Senior Data Scientist at LiveNation Entertainment (Ticketmaster division) at Hollywood, CA, working on machine learning for intelligent business systems. Let me know if you are looking for Java/Data Science positions or plan to visit Hollywood! 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.

Education

Work Experience

  • Senior Data Scientist (08/2015 - present): 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.

Research

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 am a reviewer for IEEE Transactions on Circuits and Systems for Video Technology (CSVT), IET Computer Vision Journal, Computer Vision and Image Understanding (CVIU), and Knowledge and Information Systems (KAIS). I am an external reviewer for ICDM, SDM, CIKM, 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

Misc

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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