Kevin Shuai Xu

Researcher
Technicolor Palo Alto Research Center
735 Emerson St, Palo Alto, CA 94301




Recent news

  • Feb. 2014: Our paper “Dynamic stochastic blockmodels for time-evolving social networks” has been accepted to a special issue of the Journal of Selected Topics in Signal Processing on Signal Processing for Social Networks. See arXiv:1403.0921 for a preprint.
  • Jan. 2014: I have joined the Technicolor Palo Alto Research Center.

Research

My main research interests are in statistical signal processing and machine learning with applications to network science and human dynamics. Current interests include development of statistical models and computational methods for analyzing time-dependent data in various forms including dynamic social networks and data collected from wearable sensors.

Education

  • PhD, Electrical Engineering: Systems, University of Michigan, 2012, Advisor: Alfred O. Hero III
  • MSE, Electrical Engineering: Systems, University of Michigan, 2009
  • BASc, Honors Electrical Engineering, University of Waterloo, 2007, Dean's Honors List

Honors and awards

  • Winner, International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction Challenge, 2013
  • Postgraduate scholarship: Doctorate, Natural Sciences and Engineering Research Council of Canada, 2010-2011
  • Postgraduate scholarship: Master’s, Natural Sciences and Engineering Research Council of Canada, 2008

Selected publications

For my full publication list, please see my Mendeley profile or my Google Scholar Citations. Supporting material for publications resulting from my PhD research can be found at the Hero group wiki.
  • Xu, K. S., & Hero III, A. O. (2014), “Dynamic stochastic blockmodels for time-evolving social networks,” Journal of Selected Topics in Signal Processing, in press. arXiv:1403.0921.
  • Xu, K. S., Kliger, M., & Hero III, A. O. (2014). Adaptive evolutionary clustering. Data Mining and Knowledge Discovery, 28(2), 304–336. arXiv:1104.1990.
  • Xu, K. S., Kliger, M., & Hero III, A. O. (2013). A regularized graph layout framework for dynamic network visualization. Data Mining and Knowledge Discovery, 27(1), 84–116. arXiv:1202.6042
  • Hsiao, K.-J., Xu, K. S., Calder, J., & Hero III, A. O. (2012). Multi-criteria anomaly detection using Pareto depth analysis. In Advances in Neural Information Processing Systems 25 (pp. 854–862). arXiv:1110.3741
  • Xu, K. S., Kliger, M., Chen, Y., Woolf, P. J., & Hero III, A. O. (2009). Revealing social networks of spammers through spectral clustering. In Proceedings of the IEEE International Conference on CommunicationsarXiv:1305.0051

Recent presentations

  • “Predictability of social interactions,” 6th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, 2013. pdf
  • “Dynamic stochastic blockmodels: Statistical models for time-evolving networks,” 6th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, 2013. pdf
  • “Detecting anomalies in a data set under multiple criteria,” Digital Technology Center, University of Minnesota, 2013. pdf

Vita