Xiaolin Shi

Applied Researcher
 
Email: xishi [at] microsoft [dot] com
 
Important notice: My old email address at Stanford has been discontinued. Please send me emails to the Microsoft address instead. Sorry for the inconvenience.
 
 
 
 
 

Introduction

I am currently an applied researcher at Microsoft Bing, focusing on analyzing and understanding online user behavior and user experience. My research interests are in mining, analyzing and modeling large-scale social data. My research topics include information dynamics and human behavior analysis and modeling in social networks, social media and information systems.

During 2009 - 2011, I was a postdoctoral scholar at Stanford University, working in an interdisciplinary group with faculties from sociology, computer science, linguistics and business, who were studying the relationship between education environment and the scholarly performance. I was fortunate to have Prof. Dan McFarland, Prof. Dan Jurafsky, Prof. Christopher Manning and Prof. Jure Leskovec as my supervisors and collaborators.

I received my Ph.D. in Computer Science and Engineering from the University of Michigan in 2009. My advisors were Lada A. Adamic from School of Information and Martin J. Strauss from the Dept. of Electrical Engineering and Computer Science and the Dept. of Mathematics. My Ph.D. dissertation is about The Structure and Dynamics of Information Sharing Networks.

Education

  • Ph. D (09/2004 - 07/2009)

Department of Electrical Engineering and Computer Science, University of Michigan.

  • Master of Science in Engineering (09/2004 - 05/2006)

Department of Electrical Engineering and Computer Science, University of Michigan.

  • Bachelor of Engineering (09/2000 - 06/2004)

Department of Computer Science, Zhejiang University, P. R. China.

  • International Exchange Student (01/2003 - 08/2003)
 

Publications

  1. Yang Song, Xiaolin Shi, Ryen White, and Ahmed Hassan. Context-Aware Web Search Abandonment Prediction. ACM SIGIR Conference, July 2014.
  2. Ahmed Hassan, Xiaolin Shi, Nick Craswell, Bill Ramsey. Beyond Clicks: Query Reformulation as a Predictor of Search Satisfaction. ACM International Conference on Information and Knowledge Management (CIKM), 2013.
  3. Yang Song, Xiaolin Shi, Xin Fu. Evaluating and Predicting User Engagement Change with Degraded Search Relevance. ACM International World Wide Web Conference (WWW), 2013.
  4. Dan Wang, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec. Measurement Error in Network Data: A Re-classification. Social Networks, 2012.
  5. Ramesh Nallapati, Xiaolin Shi, Jure Leskovec, Dan McFarland, Dan Jurafsky. LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. International Conference for Weblogs and Social Media (ICWSM), 2011.
  6. Simla Ceyhan*, Xiaolin Shi*, Jure Leskovec. Dynamics of Bidding in a P2P Lending Service: Effects of Herding and Predicting Loan Success. ACM International World Wide Web Conference (WWW), 2011. (*Names of the authors are listed alphabetically as they contributed equally to this work).
  7. Xiaolin Shi, Matthew Bonner, Lada A. Adamic and Anna C. Gilbert. The Very Small World of the Well-connected. Department of Electric Engineering and Computer Science, University of Michigan, Technical Report CSE-TR-566-10, 2010.
  8. Xiaolin Shi, Ramesh Nallapati, Jure Leskovec, Dan McFarland, Dan Jurafsky. Who Leads Whom: Topical Lead-lag Analysis across Corpora. NIPS Workshop on Computational Social Science and the Wisdom of Crowds, 2010.
  9. Xiaolin Shi, Jure Leskovec, Daniel A. McFarland. Citing for High Impact. ACM/IEEE - CS Joint Conference on Digital Libraries (JCDL), 2010.
  10. Xiaolin Shi, Lada Adamic, Belle Tseng, G. S. Clarkson. The Impact of Boundary Spanning Scientific Publications and Patents. PLoS ONE, Vol. 4, No. 8. (18 August 2009), e6547, 2009.
  11. Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang. User Grouping Behavior in Online Forums. The Fifteenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2009.
  12. Xiaolin Shi, Belle Tseng, Lada Adamic. Information Diffusion in Computer Science Citation Networks. International Conference on Weblogs and Social Media (ICWSM), 2009.
  13. Xiaolin Shi, Matthew Bonner, Lada A. Adamic and Anna C. Gilbert. The Very Small World of the Well-connected. The Nineteenth ACM Conference on Hypertext and Hypermedia, 2008.(Best paper award)
  14. Lada A. Adamic, Suresh K. Bhavnani, Xiaolin Shi. Scatter Networks: A New Approach for Analyzing Information Scatter. New Journal of Physics,Volume 9, 17 July 2007.
  15. Xiaolin Shi, Belle Tseng, Lada A. Adamic. Looking at the Blogosphere Topology through Different Lenses. International Conference on Weblogs and Social Media (ICWSM), 2007.
  16. Xiaolin Shi, Lada A. Adamic and Martin Strauss. Networks of Strong Ties. Physica A: Statistical Mechanics and its Applications, Volume 378, Issue 1, pp. 33-47, 1 May 2007.
  17. Yu-Ru Lin, Wen-Yen Chen, Xiaolin Shi, Richard Sia, Xiaodan Song, Yun Chi, Koji Hino, Hari Sundaram, Jun Tatemura and Belle Tseng. The Splog Detection Task and A Solution Based on Temporal and Link Properties. The 15th Text REtrieval Conference (TREC2006), 2006.

 

Honors and Awards:

  • Microsoft Research Technology Transfer Award, 2013
  • ACM Douglas Engelbart Best Paper Award, 2008
  • Fellowship, NEC Labs America, 2007

 

Selected Professional Services:

  • Program Committee: WWW 2012; Hypertext 2012; ICWSM 2011, 2010, 2009; SocInfo 2012, 2011.
  • Journal Review: Data Mining and Knowledge Discovery, 2012; Journal of Decision Support Systems, 2011; Journal of the American Society for Information Science and Technology (JASIST), 2011; ACM Transactions on the Web (TWEB), 2011, 2010; Management Information Systems Quarterly (MIS Quarterly), 2011; ACM Transactions on Information Systems, 2009; Knowledge and Information Systems, 2009.

 

Industry Experience:

  • Applied Researcher (10/2011 - Present)

Bing, Microsoft, WA

  • Research Intern (06/2008 - 09/2008)

Web Search and Mining Group, Microsoft Research Asia

  • Research Intern (05/2007 - 08/2007)

Information Analysis and Management, NEC Labs America

  • Research Intern (06/2006 - 08/2006)

Information Analysis and Management, NEC Labs America

Subpages (1): papers