I am looking for a full-time research and development position in the areas of Web social data mining, machine learning, and parallel computing. My CV can be downloaded here. Please feel free to contact me if you have available positions, thank you.
I am a Computer Science Ph.D. candidate at U.C. Santa Barbara (UCSB). I received a B.S. and M.S. in Computer Science from
National Chiao Tung University (NCTU). Since January 2006 I have been working with the Multimedia Database Laboratory (MMDB) advised by Prof. Edward Y. Chang. I have interned at IBM (2005), NEC (2006), and Google Beijing Research (2007-2009).
I am interested in the areas of data mining, machine learning, parallel computing, and their applications to
social networks. Specifically, we focus on the information recommendation tasks in social networks, including
personalized community recommendations, image and community clustering, and automatic image annotations. To
handle large scale data sets, we parallelize both memory use and computation on distributed computers.
- Spectral Clustering: A simple and easy-to-use MATLAB package for spectral clustering using sparse similarity matrix (nearest neighbor) and the Nystrom method. This package has received Top 20 downloads on MLOSS website.
- Parallel LDA: A C++ implementation of fast Gibbs sampling of Latent Dirichlet Allocation (LDA). This package uses Message Passing Interface (MPI) for parallelization.
- 4/20-4/24, 2009 WWW 2009, Madrid, Spain (deadline: Nov 3, 2008)
- 6/14-6/18, 2009 ICML 2009, Montreal, Cananda (deadline: Jan 26, 2009)
- 6/28-7/1, 2009 KDD 2009, Paris, France (deadline: Feb 6, 2009, abstract: Feb 2, 2009)
- 6/29-7/2, 2009 SIGMOD 2009, Providence, USA (deadline: Dec 4, 2008, abstract: Nov 27, 2008)
- 7/19-7/23, 2009 SIGIR 2009, Boston, MA, USA (deadline: Jan 26, 2009, abstract: Jan 19, 2009)