Kevin Shuai Xu
Kevin Shuai Xu

Technicolor Research
175 S. San Antonio Rd. Suite 200
Los Altos, CA 94022 USA



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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
  • Runner-up to best oral presentation, Engineering Graduate Symposium, University of Michigan, 2008

Selected publications

For a full publication list, please see my CV or my Google Scholar Citations profile.
  • Xu, K. S. (2015). Stochastic block transition models for dynamic networks. To appear in Proceedings of the 18th International Conference on Artificial Intelligence and StatisticsarXiv:1411.5404
  • Xu, K. S., & Hero III, A. O. (2014), “Dynamic stochastic blockmodels for time-evolving social networks,” IEEE Journal of Selected Topics in Signal Processing, 8(4), 552–562. 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.
  • 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

Software

The following software packages have resulted from my research.

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

Curriculum vitae