Le Song
Assistant Professor
CSE, College of Computing
Georgia Institute of Technology
1340 Klaus Building
266 Ferst Drive
Atlanta, GA 30332, USA
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Research Interests
I conduct research in statistical machine learning, with primary interests in nonparametric kernel methods, probabilistic graphical models, time series and network analysis. I am also interested in large-scale and distributed learning problems, and machine learning applications in texts, images, networks, computational biology and information rich social media.
News
- NIPS 2012 workshop on the Confluence between Kernel Methods and Graphical Models (with Arthur Gretton and Alex Smola)
- NIPS 2012 workshop on Spectral Algorithms for Latent Variable Models (with Ankur Parikh and Eric Xing)
- ICML 2012 tutorial on Spectral Approaches to Learning Latent Variable Models (with Geoffery Gordon and Byron Boots)
Selected Recent Publications
- Fukumizu, K., Song, L., and Gretton, A., Kernel Bayes' Rule, Neural Information Processing Systems (NIPS), 2011. PDF
- Song, L., Gretton, A., Bickson, D., Low, Y., and Guestrin, C., Kernel Belief Propagation, International Conference on Artifical Intelligence and Statistics (AISTATS), 2011. PDF
- Song, L., Boots, B., Siddiqi, S., Gordon, G., and Smola, A., Hilbert Space Embeddings of Hidden Markov Models, International Conference on Machine Learning (ICML), 2010. PDF (BEST PAPER)
- Kolar, M., Song, L., Ahmed, A., and Xing, E., Estimating Time-Varying Networks, Annals of Applied Statistics, 2010. PDF
- Song, L., Kolar, M., and Xing, E., KELLER: Estimating Time-Evolving Interactions between Genes, Bioinformatics (ISMB), pp.i128--i136, 2009. PDF
- Song, L., Smola, A., Gretton, A., Bedo, J., and Borgwardt, K., Feature selection via dependence maximization, Journal of Machine Learning Research (JMLR), 2007. PDF
Brief Biography
I studied computer science at the South China University of Technology, Guangzhou, China in 1998. After I obtained my Bachelor's degree in 2002, I traveled to Sydney, Australia. In 2004 I received my Master's degree, and in 2008 my Doctoral degree in computer science at the University of Sydney, Australia. I was also a PhD. student with the Statistical Machine Learning Program at NICTA. My thesis advisor is Alex Smola. Since Summer 2008, I was a Lane postdoc fellow at Carnegie Mellon Univeristy, working on machine learning and computational biology projects with Eric Xing, Carlos Guestrin, Geoff Gordon and Jeff Schneider. Right before I came to Georgia Tech, I spent some time as a research scientist in Fernando Pereira's group at Google Research.
Curriculum Vitae
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