Eric Xing
Eric Poe Xing is a professor at Carnegie Mellon University and researcher in machine learning, computational biology, and statistical methodology.[2][3]
Eric Poe Xing | |
---|---|
Born | Shanghai, China |
Alma mater | Tsinghua University Rutgers University University of California, Berkeley |
Spouse(s) | Wei Wu [1] |
Awards | AAAI 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 | |
Fields | Computer Science Machine Learning Computational Biology |
Institutions | Carnegie Mellon University Stanford University |
Thesis | Probabilistic graphical models and algorithms for genomic analysis (2004) |
Doctoral advisor | Richard Karp Michael I. Jordan Stuart J. Russell |
Website | www |
Biography
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
Xing with his collaborators developed the Petuum framework for distributed machine learning with massive data, big models, and a wide spectrum of algorithms.[4]
See also
References
- Wei Wu CMU
- Xing, Eric P. "Eric P. Xing Homepage". cs.cmu.edu. Retrieved 16 December 2014.
- Xing, Eric P. (2012). "ACL 2012 Tutorial Eric P. Xing". acl2012.org. Archived from the original on 8 January 2015. Retrieved 16 December 2014.
- 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.
- "AAAI Fellows Elected in 2016". AAAI. 2016. Retrieved 2 February 2016.
External links
- Eric Xing (at Carnegie Mellon University )
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.