Bio
I’m a machine learning Ph.D. student in the Neural Networks Research Group at UT Austin. I’ve also been a co-founder at Curvio and EffectCheck, and a quant/researcher at Lincoln Vale. I earned my BS and MS in Computer Science at Virginia Tech under my advisor Eli Tilevich.
This blog is for my personal musings and ideas. My technical blog is NashCoding. Cool projects can be found at my grad student page. You can email me at wes@nashcoding.com. You can also follow me on twitter and fork me on github.
Publications
Below is a list of my academic publications.
Wesley Tansey, Eliana Feasley, and Risto Miikkulainen, “Accelerating Evolution via Egalitarian Social Learning,” The 14th Annual Genetic and Evolutionary Computation Conference (GECCO 2012), Philadelphia, Pennsylvania, USA, July 2012.
R. Miikkulainen, E. Feasley, L. Johnson, I. Karpov, P. Rajagopalan, A. Rawal, and W. Tansey. Multiagent learning through neuroevolution. Advances in Computational Intelligence, pages 24-46, 2012.
Myoungkyu Song, Eli Tilevich, and Wesley Tansey, “Trailblazer: A Tool for Automated Annotation Refactoring,” An OOPSLA 2009 Tool Demo.
Sriram Gopal, Wesley Tansey, Gokulnath C. Kannan, and Eli Tilevich, “DeXteR – An Extensible Framework for Declarative Parameter Passing in Distributed Object Systems,” Proceedings of ACM/IFIP/USENIX 9th International Middleware Conference (Middleware 2008).
(Acceptance rate 18%)
Wesley Tansey and Eli Tilevich, “Annotation Refactoring: Inferring Upgrade Transformations for Legacy Applications,” the 2008 ACM SIGPLAN Conference on Object-Oriented Programming Systems, Languages, and Applications (OOPSLA 2008).
(Acceptance rate 28%)
Wesley Tansey and Eli Tilevich, “Efficient Automated Marshaling of C++ Data Structures for MPI Applications,” Proceedings of the 22nd Annual IEEE International Parallel and Distributed Processing Symposium (IPDPS 2008), April 2008.
(Acceptance rate 25%)