Byron Gao received Ph.D. and B.Sc. in Computer Science from
Fraser University in 2007 and 2003 respectively. He was a
postdoctoral fellow at the University of Wisconsin-Madison before
joining Texas State University in 2008. His research spans several
related fields of
data mining, databases, information retrieval, and
* E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams. IEEE Transactions on
Knowledge and Data Engineering (TKDE).
* VSRank: A Novel Framework for Ranking-based Collaborative
Filtering. ACM Transactions on Intelligent Systems and Technology
* A Model for Discovering Correlations of Ubiquitous Things.
IEEE International Conference on Data Mining (ICDM).
Other publications: DBLP
Misc: Best-of-SDM'06 research paper, Best research paper candidate in KDD'07, Erdos number 3 via P. Erdos -> L. Babai -> J. Cai -> me :-)
- For thesis: In general, you need to take a course/independent study with me first. Check out the following keywords and see if
they resonate with you:
data mining, databases, information retrieval, web search, exploratory search, faceted search, clustering, classification, machine learning, bioinformatics, Internet of things, social
networks, information extraction, opinion mining, recommendation systems, community information management, personal information
management, wikipedia, mass collaboration, craigslist, gene expression analysis, statistics,
discrete optimization, web service, LAMP, Hadoop ...
- For independent study: I'm always interested in working with undergraduate and graduate students on fun projects. Check out the