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Senior Software Engineer

Fei Xu

About

Fei Xu is a Senior Software Engineer at Tableau Software. His focus is on the Tableau Data Engine and Query Processing Pipeline. Fei's research interest largely lies in the area of relational database. He is interested in developing efficient and scalable systems and programming models for large scale data analytics and statistical inference.

Before joining Tableau in 2014, Fei was a Research Software Engineer in the Cosmos team at Microsoft. Cosmos is Microsoft's internal BigData infrastructure. Fei has been mainly focused on researching and developing programming models and language features for BigData Analysis. In addition, Fei also made visible contributions to the runtime system.

Fei received his Ph.D. Degree in Computer Engineering from University of Florida. He was a core member for two research database systems: Database Online(DBO) and Monte-Carlo Databae(MCDB). Fei has published more than 10 papers in a variety of referenced journals and conferences, including SIGMOD, VLDB, ICDE, and ACM TODS. He has served as a program committee member for most important database conferences, including SIGMOD, VLDB, ICDE and CIKM.

Focus

Design of Compilers
Optimizers and Runtimes for Large-Scale Data Analysis

Big Data, Big Opportunity.

Papers

Incremental Computation of Common Holistic Windowed Aggregates

Richard Wesley, Fei Xu

Proceedings of the VLDB Endowment, Vol. 9, No. 12

On Improving User Response Times in Tableau

Pawel Terlecki; Fei Xu; Marianne Shaw ; Valeri Kim ; Richard Wesley;

2015 ACM SIGMOD/PODS Conference, Melbourne, VIC, Australia May 31 - June 4, 2015.

Provably-efficient job scheduling for energy and fairness in geographically distributed data centers

Shaolei Ren, Yuxiong He, Fei Xu

2012 IEEE 32nd International Conference on Distributed Computing Systems (ICDCS)

The monte carlo database system: Stochastic analysis close to the data

Ravi Jampani, Fei Xu, Mingxi Wu, Luis Perez, Chris Jermaine, Peter J Haas

ACM Transactions on Database Systems (TODS), volume 36, issue 3, page 18

MCDB-R: Risk analysis in the database

Subi Arumugam, Fei Xu, Ravi Jampani, Christopher Jermaine, Luis L Perez, Peter J Haas

The 36th International Conference on Very Large Data Bases, September 13-17, 2010, Singapore

Surrogate ranking for very expensive similarity queries

Fei Xu, Ravi Jampani, Mingxi Wu, Chris Jermaine, Tamer Kahveci

2010 IEEE 26th International Conference on Data Engineering (ICDE)

Scalable steady state analysis of Boolean biological regulatory networks

Ferhat Ay , Fei Xu, Tamer Kahveci

PloS one Volume 4 Issue 12, Page e7992

Turbo-charging estimate convergence in dbo

Alin Dobra, Chris Jermaine, Florin Rusu, Fei Xu

VLDB 2009 (August 24-28, 2009, Lyon, France)

E= MC 3: managing uncertain enterprise data in a cluster-computing environment

Fei Xu, Kevin Beyer, Vuk Ercegovac, Peter J Haas, Eugene J Shekita

Proceedings of the 2009 ACM SIGMOD International Conference on Management of data (June 29–July 2, 2009, Providence, Rhode Island))

Confidence bounds for sampling-based group by estimates

Fei Xu, Christopher Jermaine, Alin Dobra

ACM Transactions on Database Systems (TODS) Volume 33, issue 3, page 16

The dbo database system

Florin Rusu, Fei Xu, Luis Leopoldo Perez, Mingxi Wu, Ravi Jampani, Chris Jermaine, Alin Dobra

Proceedings of the 2008 ACM SIGMOD international conference on Management of data (Vancouver, June 9-12, 2008)

MCDB: a monte carlo approach to managing uncertain data

Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Perez, Christopher Jermaine, Peter J Haas

Proceedings of the 2008 ACM SIGMOD international conference on Management of data(Vancouver, June 9-12, 2008)

Randomized algorithms for data reconciliation in wide area aggregate query processing

Fei Xu, Christopher Jermaine

VLDB ‘07, September 23-28, 2007, Vienna, Austria