Certified Professional Statistician by SSC.
Email: stevenw@mathstat. yorku.ca
Artificial Intelligence, Machine Learning, Data Mining, High dimensional optimization
Big Data with Application to Medicine, Disease modelling and Statistical Inference.
Postdoc in Data Mining, Pacific Institute of Mathematical Sciences, 2002.
Ph.D. in Statistics, University of British Columbia, 2001.
M.Sc. in Applied Statistics, University of California at Riverside.
B.Sc in Computational Mathematics, Beijing University of Technology.
Fok, R., An,A, Rasheid, Z., and Wang, X. (2018) Decoupling the Layers in Residual Networks, International Conference of Learning Representations (ICLR), 2018. Accepted.
Li, X. Fu, Y., Wang, X. and Qiu, W. (2018).Robust Joint Tests in the Application of DNA methylation data analysis. BMC Bioinformatics. To Appear.
Gold, N, Frasch, M., Herry C. , Richardson B and Wang, X. (2018). A Doubly Stochastic Change Point Detection Algorithm for Noisy Biological Signal. Frontiers in Physiology- Computational Physiology and Medicine. To Appear.
Fok, R., An, A. and Wang, X. (2017). Geodesic and Contour Optimization using Conformal Mapping. Journal of Global Optimization. 69(1): 23-44.
Wang, X., Qiu, X. and Wu, J. (2016). Convergence and Stability Analysis of Mean-shift Type Algorithm on Large Data Sets. Statistics and Its Interface.
Li, X., Jankowski, H., Boonpatcharanon, S., Tran, V., Wang, X. and Heffernan, J.M. (2015). Clustering Neuraminidase Influenza Protein Sequences, Proceedings of the International Symposium on Mathematical and Computational Biology. BIOMAT 2015.
Li, X., Qiu, W., Morrow, J., Weiss, J., Fu, Y. and Wang, X. (2015). A Comparative Study of Tests for Homegeneity of Variances with Application to DNA Methylation Data, PLoS One.
Wang, Q., Gold, N., Frasch, M., Huang, H.Â and Wang, X. (2015). Mathematical Model of Cardiovascular and Metabolic Responses to Umbilical Cord Occulsions in Fetal Sheep. Bulletin of Mathematical Biology.
Fok, R., An, A. and Wang, X. (2015).Mining Evolving Data Streams with Particle Filers. Computer Intelligence.
Wang, X., Wang, J. Russel, C.m Proctor, P., Bellod, R. Higuchi, K. and Zhu, H. (2014). Clustering of Abundance of West Nile Virus Vector Mosquitoes in Peel Region, Ontario. Environmental and Ecological Statistics.
Wang. X.,Durosier, D, Ross, M. Richardson, S., Frasch, M. (2014). Online Detection of Fetal Academia During Labor by Testing Synchronization of EEG and Heart Rate: A prospective study in fetal sheep. PLoS One.
Chen, S. and Wang. X. (2014). Approximate Risk Analysis using Numerical Integration on Sparse Grid. Journal of Mathematical and Computational Sciences.
Guo, P. Wang, X. And Wu, Y. (2012). Data Fusion for Generalized Linear Model, European Journal of Pure and Applied Mathematics.
Wu. S., Xu, Y., Feng. Z., Wang, X. And Gao, X. (2012). Multiple-platform Data Integration Method with Application to Combined Analysis of Microarray and Proteomic Data. BMC Bioinformatics.
Andreopoulos, B., An, A., Wang, X., Faloutsos, M and Schroeder, M. (2007). Clustering by Common Friends Finds Locally Significant Proteins Mediating Modules. Bioinformatics, Oxford University Press, 23(9): 1124-1131.
Wang, X., Liang, D, Feng, X. and Ye, L. (2007). A Derivative Free Optimization Algorithm based on Conditional Moments. Journal of Mathematical Analysis and Applications. Vol. 331, No. 2, 1337 - 1360.
Wang, X. (2006). Approximating Bayesian Inference by Weighted Likelihood Method. The Canadian Journal of Statistics. Vol. 34,Â 279-298.
Wang, X., Qiu, W. and Zamar, R. (2006). An Iterative Non-parametric Clustering Algorithm Based on Local Shrinking. Computational Statistics and Data Analysis.
Zhang, P., Wang, X. and Song, P.X. (2006) Clustering Categorical Data Based on Distance Vectors. The Journal of the American Statistical Association. Vol. 101. No. 473, 355-367.
Wang, X. and Zidek, J.V. (2005). Derivation of Mixture Distribution and Weighted Likelihood as minimizers of KL-divergence subject to constraints. The Annals of the Institute of Statistical Mathematics. Vol 57, 687-701.
Wang, X. and Zidek, J.V. (2005). Selecting likelihood weights by cross-validation. The Annals of Statistics. Vol., 33. No. 2, 463-500.Â
Wang, X., van Eeden, C. and Zidek, J.V. (2004). Asymptotic Properties of Weighted Likelihood Estimators.Journal of Statistical Planning and Inference. Vol 119, pp. 37-54.Â