Zhe Zhao    -- 赵 哲 --    [cv]

Office: zhezhao@, 1600 Amphitheatre Pkwy, Mountain View, CA 94043
Department of Electrical Engineering and Computer Science
University of Michigan
Email: zhezhao AT google DOT com


Short Bio

I am a Research Scientist at Google Research. I received my PhD in Department of Computer Science and Engineering at University of Michigan, Ann Arbor. I am working with Professor Qiaozhu Mei at School of Information. And my research interests focus on data mining and information retrieval. I got my Bachelor and MSI's degrees from Department of Computer Science, Peking University, 2008 and 2011. My advisor in PKU was Professor Bin Cui.

Projects

  • Dissertation: Detecting Icebergs by Their Tips: Identify Target Clusters from Individual Post Stream.
         Applications:
            -- Persuasion Campaign Detection. (Presidential Campaign, Commercials, and Terriost Propoganda, etc.)
            -- Early stage rumor detection.    [press: umich, phys.org, etc.]
            -- Detecting Information Need on Twitter

  • At Google: provide recommendations to tens of millions of users in Social Research team.
  • At Twitter: provide recommendations to tens of millions of users in Trends team.   [press ]
  • Political Tweets Classification
  • Rumor Retrieval(UM VPN required)

    Selected Publications

    • Zhe Zhao, Paul Resnick, Qiaozhu Mei. Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts. WWW 2015
    • Zhe Zhao, Zhiyuan Cheng, Lichan Hong, Ed Chi. Improving User Topic Interest Profiles by Behavior Factorization. WWW 2015
    • Shoubin Kong, Qiaozhu Mei, Ling Feng, Fei Ye, Zhe Zhao. Predicting bursts and popularity of hashtags in real-time. SIGIR 2014 (short paper).
    • Zhe Zhao, Qiaozhu Mei. Questions about Questions: An Empirical Analysis of Information Needs on Twitter. WWW2013
    • Jingdong Wang, Zhe Zhao, Jiazhen Zhou, Hao Wang, Bin Cui, Guojun Qi. Recommending Flickr Groups with Social Topic Model. Journal of Information Retrieval 2012
    • Zhe Zhao, Bin Cui, Gao Cong, Yuxin Huang, Hengtao Shen. Extracting Representative Motion Flows for Effective Video Retrieval. Multimedia Tools and Applications (MTAP 2012).
    • Bin Cui, Anthony Tung, Ce Zhang, Zhe Zhao, Multiple Feature Fusion for Social Media Applications. ACM SIGMOD International Conference on Management of Data (ACM SIGMOD2010).
    • Zhe Zhao, Bin Cui, Wee Hyong Tok, Jiakui Zhao, Efficient Similarity Matching of Time Series Cliques with Natural Relations. 26th IEEE International Conference on Data Engineering (ICDE 2010, short paper).
    • Bin Cui, Zhe Zhao, Wee Hyong Tok. A Framework for Similarity Search of Time Series Cliques with Natural Relations. IEEE Transaction on Data and Knowledge Engineering (TKDE 2012).
    • Bin Cui, Zhe Zhao. Representative Motion Flow Extraction for Effective Video Classification and Retrieval, US Patent, Pub No. US2012/0275521 A1
             (Google Scholar)

    Services

  • Reviewer: ICWSM2013, ICWSM2015, Multimedia Tools and Applications (MTAP) since 2012, IEEE Internet Computing, CHI2015.
  • Program Committee: WWW2016, WSDM2016, CIKM2015, WWW2015, WWW2014, ICWSM2014

    Project Reports

    • Replication on Affinity Propagation: Clustering by Passing Messages Between Data Points, for EECS592. pdf (Warning: got a B)
    • Cut the Tail: Mobile Energy Saving Using Radio Tail Prediction, for EECS589. pdf
    • Detecting Information Need In Large Scale Social Media Content, for EECS584. pdf

    Something About Me

    I practice and love Kendo. I like archery, snowboarding, ice skating, and maybe swimming. And I am on a diet!!
    I also like New Age music, J-pop, E-pop, C-pop, V-pop, ..., and all kinds of wonderful music, I play Hawaii-Guitar but not in a fancy way... and I hate nothing!


    Last Updated: March, 2016.