Yan Liu

Assistant Professor
Computer Science Department
Viterbi School of Engineering
University of Southern California

Email:yanliu.cs@usc.edu
(notice that yanliu@usc.edu is NOT me)
Phone: 1-213-740-4371
Office: PHE 336

I have been an assistant professor in the Computer Science Department, of the Viterbi School of Engineering at USC since August 2010. Before that, I was a research staff member in the Data Analytics Group at the IBM T.J. Watson Research Center since November 2006. I received my M.S. and Ph.D. from Carnegie Mellon University. My research interests include machine learning and data mining with applications to biology, climate science, health, and social media.

NEWS

I am offering the class CSCI-567 Machine Learning in Fall 2014.
We have built an online visualization tool for temporal dependence discovery from time series data .
I received the Okawa Foundation Research Award in 2013.
I received an NSF CAREER Award in 2013.
We are building a repository of datasets and code for multivariate time series analysis.
I served as the Program Co-chair for the 2013 International Workshops on Climate Informatics.
I co-organzed the Second AAAI symposium on Discovery Informatics in 2013.

AWARDS

Okawa Foundation Research Award, 2013 (details)
NSF NSF CAREER Award, 2013 (details)
Yahoo! Faculty Award, 2011 (details)
James H. Zumberge Research and Innovation Fund Individual Award, 2011
ACM Dissertation Award Honorable Mention, 2007 (details). Here I am at the award banquet.
Best Paper Award, SIAM Conference on Data Mining, 2007 (SDM 2007)
Winner of several data mining competitions:
        Team lead, winning team, Netflix Movie Rating Prediction, KDD Cup 2007
        Team member, winning team, Fast Scoring on a Large Marketing Database, KDD Cup 2009
        Early Detection of Breast Cancer, KDD Cup 2008
INFORMS Data Mining Competition 2008

MEDIA COVERAGE

Machine learning for automatically quantifying patent quality (for technical details, see KDD 2011 paper)

The Anatomy of a Forgotten Social Network (for technical details, see the preprint)

STUDENT APPLICATIONS

Prospective MS students: please do not contact me because I am not involved with the MS admission process.
Prospective PhD students: if you are interested in working with me, please include my name in your application.
Current MS students: if you interested in working with me, take one of my classes and perform well!