Eric Xing

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Eric Poe Xing
Eric Xing.jpg
Born
Shanghai, China
ResidencePittsburgh, PA
Alma materTsinghua University
Rutgers University
University of California, Berkeley
Spouse(s)Wei Wu [1]
AwardsAAAI Fellow (2016)
Member of the DARPA (ISAT) Advisory Group (2011-2014)
Air Force Young Investigator Award (2010-2015)
Sloan Fellowship (2008-2010)
NSF Career Award (2006-2011)
Scientific career
FieldsComputer Science
Machine Learning
Computational Biology
InstitutionsCarnegie Mellon University
Stanford University
ThesisProbabilistic graphical models and algorithms for genomic analysis (2004)
Doctoral advisorRichard Karp
Michael I. Jordan
Stuart J. Russell
Websitewww.cs.cmu.edu/~epxing/

Eric Xing is a professor at Carnegie Mellon University and researcher in machine learning, computational biology, and statistical methodology.[2][3]

Biography[edit]

Xing received a B.Sc. in physics at Tsinghua University in 1993, and a Ph.D. in molecular biology at Rutgers University in 1999 and a Ph.D. in computer science at the University of California, Berkeley in 2004.

He has won several awards, including recipient of the NSF Career Award and an Alfred P. Sloan Research Fellowship.

Academic life[edit]

Xing with his collaborators developed the Petuum framework for distributed machine learning with massive data, big models, and a wide spectrum of algorithms.[4]

Honors and awards[edit]

In 2016, he was elected Fellow of AAAI.[5]

See also[edit]

References[edit]

  1. ^ Wei Wu CMU
  2. ^ Xing, Eric P. "Eric P. Xing Homepage". cs.cmu.edu. Retrieved 16 December 2014.
  3. ^ Xing, Eric P. (2012). "ACL 2012 Tutorial Eric P. Xing". acl2012.org. Archived from the original on 8 January 2015. Retrieved 16 December 2014.
  4. ^ Xing, Eric P. (2013). "Petuum is a distributed machine learning framework". github.io. Archived from the original on 2014-12-16. Retrieved 16 December 2014.
  5. ^ "AAAI Fellows Elected in 2016". AAAI. 2016. Retrieved 2 February 2016.

External links[edit]