YA XUE

YA XUE

EDUCATION

PhD	Electrical Engineering	Duke University	Dec. 2006
MS	Electrical Engineering	Arizona State University	Dec. 2002
BS	Electrical Engineering	Tsinghua University, Beijing, China	Jun. 2000

EMPLOYMENT

12/2007-present	Computer Scientist, GE Global Research, Niskayuna, NY
12/2006-11/2007	Research Scientist, Centice Corporation, Morrisville, NC
05/2005-08/2005	Summer Intern, Siemens Medical Solution USA, Computer Aided Diagnosis group, Malvern, PA
08/2003-11/2006	Research Assistant, Department of Electrical and Computer Engineering, Duke University, Durham, NC
01/2001-07/2003	Research Assistant, Department of Electrical Engineering, Arizona State University, Tempe, AZ

PUBLICATIONS

D. Dunson, Y. Xue, and L. Carin. "The matrix stick-breaking process: flexible Bayes meta analysis", Journal of the American Statistical Association, 103(481): 317-327 (2008). PDF
Y. Xue, D. Dunson, and L. Carin. "The matrix stick-breaking process for flexible multi-task learning", In Proc. 24nd International Conference on Machine Learning (ICML) (2007). PDF
J.R Stack, F. Crosby, R.J. McDonald, Y. Xue, and L. Carin. "Multi-task learning for underwater object classification", In Proc. SPIE, Vol. 6553, Detection and Remediation Technologies for Mines and Minelike Targets XII (2007).
Y. Xue, X. Liao, L. Carin, and B. Krishnapuram. "Multi-task learning for classification with Dirichlet process priors", Journal of Machine Learning Research, 8(Jan): 35-63 (2007). PDF
D. Williams, X. Liao, Y. Xue, L. Carin, and B. Krishnapuram. "On incomplete-data classification", IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(3):427-436 (2007). PDF
Y. Xue, S. Ji, and L. Carin. "Multi-task learning for sequential data", In Proc. 5th Workshop on Defence Applications of Signal Processing (DASP) (2006).
Y. Xue, X. Liao, L. Carin, and B. Krishnapuram. "Learning multiple classifiers with Dirichlet process mixture priors", Workshop on Open Problems and Challenges for Nonparametric Bayesian Methods in Machine Learning at the 19th Annual Conference on Neural Information Processing Systems (NIPS) (2005). PDF
X. Liao, Y. Xue, and L. Carin. "Logistic regression with an auxiliary data source", In Proc. 22nd International Conference on Machine Learning (ICML) (2005). PDF
D. Williams, X. Liao, Y. Xue, and L. Carin. "Incomplete-Data classification using logistic regression", In Proc. 22nd International Conference on Machine Learning (ICML) (2005). PDF
B. Krishnapuram, D. Williams, Y. Xue, L. Carin, M. Figueiredo, and A. Hartemink. "Active learning of features and labels", In Proc. Workshop on Learning with Multiple Views at the 22nd International Conference on Machine Learning (ICML) (2005).
B. Krishnapuram, D. Williams, Y. Xue, L. Carin, A. Hartemink, and M. Figueiredo. "On semi-supervised classification", Advances in Neural Information Processing System (NIPS) (2005). PDF
Y. Xue and D. Morrell. "Target tracking and data fusion using multiple adaptive foveal sensors", In Proc. 6th International Conference on Information Fusion (2003). PDF
Y. Xue and D. Morrell. "Adaptive foveal sensor for target tracking", In Proc. 36th Asilomar Conference on Systems, Signals and Computers (2002).
D. Morrell and Y. Xue. "Bayesian target detection and localization using a dual-mode sensor", In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2002).
D. Morrell and Y. Xue. "Analysis of heuristics for sensor configuration in a simple target localization problem", In Proc. 35th Asilomar Conference on Systems, Signals and Computers (2001).

ARTICLES SUBMITTED

Y. Xue, S. Ji, and L. Carin. "Multi-task learning for sequential acoustic data", submitted to Journal of the Acoustical Society of America. PDF
S. Ji, Y. Xue, and L. Carin. "Bayesian compressive sensing", submitted to IEEE Transactions on Signal Processing. PDF

CONTACT

Email: yx10 (AT) ee.duke.edu

COLLABORATORS

Lawrence Carin (PhD thesis advisor)
David Dunson
Mario Figueiredo
Alexander Hartemink
Shihao Ji
Balaji Krishnapuram
Xuejun Liao
Darryl Morrell (MS thesis advisor)
David Williams