Fei Xu

About Me

Welcome. I have graduated in August 2009, and joined Microsoft to work on its search infrastructure. I obtained my Ph.D. degree in Department of Computer and Information Science and Engineering, University of Florida. My advisor is Dr. Christopher Jermaine. My thesis is Correlation-Aware Statistical Methods for Sampling-Based GROUP BY Estimates. Before coming to University of Florida, I got my both M.S and B.S. degrees from college of Computer Science, Zhejiang University, Hangzhou, China.
In general, my research interest is in large-scale data management. I am especially interested in applying sampling and Monte Carlo methods to approximate query processing, data cleaning, uncertain data management, biological data, and data management in the cloud.

Publications

• Fei Xu, Christopher Jermaine, Alin Dobra: Confidence bounds for sampling-based group by estimates. ACM Transaction on Database Systems, Vol. 33, No. 3, September 2008.
• Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Perez, Christopher Jermaine, Peter Haas: MCDB: a monte carlo approach to managing uncertain data. SIGMOD 2008.
• Fei Xu, Christopher Jermaine: Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing. VLDB 2007.
• Florin Rusu, Fei Xu, Luis Leopoldo Perez, Mingxi Wu, Ravi Jampani, Christopher Jermaine, Alin Dobra: The DBO database system. Demo Track, SIGMOD 2008.
• Fei Xu, Kevin Beyer, Vuk Ercegovac, Peter Haas, Eugene Shekita: E=MC³: Managing Uncertain Enterprise Data in a Cluster-Computing Environment. SIGMOD 2009.
• Alin Dobra, Chris Jermaine, Florin Rusu, Fei Xu: Turbo-Charging Estimate Convergence in DBO. VLDB 2009.
• Fei Xu, Ravi Jampani, Mingxi Wu, Chris Jermaine, Tame Kahveci: Surrogate Ranking for Very Expensive Similarity Queries. ICDE 2010.
• Ferhat Ay, Fei Xu, Tamer Kahveci: Finding All Steady States in Biological Regulatory Networks. RECOMB-SAT 2009.