Qiang Liu Ph.D. Student Advisor: Alexander Ihler Information & Computer Science University of California at Irvine qliu1 AT uci DOT edu ("Qiang" sounds like "Chee-ah-ng", and "Liu" as "l-yo" )

Research | Publication | Education

Research

My research area is machine learning, focusing on problems of learning, inference and decision making under the framework of graphical models.

Publications

Variational algorithms for marginal MAP;
Liu, Ihler; Uncertainty in Artificial Intelligence (UAI) 2011.


Bounding the Partition Function using Holder's Inequality;
Liu, Ihler; International Conference on Machine Learning (ICML) 2011.


Learning Scale Free Networks by Reweighted l1 Regularization;
Liu, Ihler; AI & Statistics 2010. (notable paper)


Negative Tree Reweighted Belief Propagation;
Liu, Ihler; Uncertainty in Artificial Intelligence (UAI), July 2010.


Particle Filtered MCMC-MLE with Connections to Contrastive Divergence;
Asuncion, Liu, Ihler, Smyth; Int'l Conf on Machine Learning (ICML), June 2010.


Learning with Blocks: Composite Likelihood and Contrastive Divergence;
Asuncion, Liu, Ihler, Smyth; AI & Statistics (AISTATS), April 2010.


Estimating Replicate Time-Shifts Using Gaussian Process Regression;
Liu, Lin, Anderson, Smyth, Ihler; Bioinformatics 26(6), Mar. 2010, pp. 770-776; doi:10.1093/bioinformatics/btq022.

Education

Beihang University, Beijing, China, 2004-2008.
School of Advanced Engineering
B.S. in Information and Computation Science

University of California, Irvine, 2008-2009.
Graduate Program in Mathematical, Computational and Systems Biology (photo gallery)


University of California, Irvine, 2009-Now.
Donald Bren School of Information and Computer Science
Pursuing Ph. D, advanced to candidacy in Mar 2011