Department of Biomedical Informatics - University of Pittsburgh

Profile

Xia Jiang, PhD

Postdoctoral Scholar

Contact Info:

Parkvale Building
M-175
200 Meyran Avenue

Phone: (412) 648-6706
E-mail: XIJ6@PITT.EDU

Research

Bayesian Network, machine learning, biosurveillance, bioinformatics.

Education

PhD Biomedical Informatics, University of Pittsburgh

Publications

Jiang, XI., D.B. Neill, G.F. Cooper, “On the Robustness of Bayesian Network Base Spatial Event Surveillance”, International Journal of Approximate Reasoning, March 2008, Online publication information: http://dx.doi.org/10.1016/j.ijar.2009.01.001

Jiang, X., and G.F. Cooper, “A Temporal Method for Outbreak Detection Using a Bayesian Network”, Accepted for publication in Advances in Disease Surveillance.

Jiang, XI., G.L. Wallstrom, G.F. Cooper, and M.M. Wagner, “Bayesian Prediction of an Epidemic Curve”, Journal of Biomedical Informatics 42 (2009) pp. 90-99. doi: http://dx.doi.org/10.1016/j.jbi.2008.05.013

Neill, D. B. XI.,G.F. Cooper, K. Das, X. Jiang, and J. Schneider, “Bayesian Networks Scan Statistics for Multivariate Pattern Detection”, Scan Statistics - Methods and Applications, Birkhauser, 2008

Jiang, X., M.M. Wagner, and G.F. Cooper, “Modeling the Temporal Trend of the Daily Severity of an Outbreak using Bayesian Networks”, Innovations in Bayesian Networks of Studies in Computational Intelligence, Springer-Verlag, NY, 2008. On-line version: http://dx.doi.org/10.1007/978-3-540-85066-3_7

Neapolitan R.E., and X. Jiang, Probabilistic Methods for Financial and Marketing Informatics, Morgan Kaufmann, San Mateo, CA, 2007.

Jiang, X., “A Bayesian Network for Estimating and Predicting Epicurves,” J. Advances in Disease Surveillance; 2:15, 2007.

Jiang, X., and G.F. Cooper, “A Recursive Algorithm for Spatial Cluster Detection,” Proceedings of AMIA 2007 Annual Symposium, Chicago, IL, November, 2007, Oct 11:369-73.

Jiang, X., G.F. Cooper, and J. Levander, “A Bayesian Network Model for Spatial Cluster Detection,” Proceedings of UAI Workshop on Bayesian Modeling, Vancouver, BC, 2007.

Neapolitan, R.E., and Jiang, X., “A Tutorial on Learning Causal Influences,” in Holmes, D. and L. Jain (Eds.): Innovations in Machine Learning, Springer-Verlag, NY, 2006.

Jiang, X., and G.L. Wallstrom, “A Bayesian Network for Outbreak Detection and Prediction,” Proceedings of AAAI-06, Boston, MA, 2006, p1155-1160.