In Statistical Journals:

  1. Sudjianto, A., Nair, S., Yuan, M., Zhang, A., Kern D. and Cela-Diaz, F. (2010). Statistical methods for fighting financial crimes. Technometrics, 52, 5-19.
  2. Fang, K.-T., Zhang, A. and Li, R. (2007). An effective algorithm on generation of factorial designs with generalized minimum aberration. Journal of Complexity, 23, 740-751.
  3. Zhang, A., Fang, K.-T., Li, R. and Sudjianto, A. (2005). Majorization framework for balanced lattice designs. Annals of Statistics, 33, 2837-2853.
  4. Fang, K.-T. and Zhang, A. (2004). Minimum aberration majorization for non-isomorphic saturated designs. Journal of Statistical Planning and Inference, 126, 337-346.


  1. Tao, L., Ip, H.S., Zhang, A. and Shu, X. (2016). Exploring canonical correlation analysis with subspace and structured sparsity for web image annotation. Image and Vision Computing, 54, 22-30.
  2. Tang, T., Zhang, A. and Yang, X. (2014). The current situation, issues and recommendations for microlecture development (in Chinese). Expert Advice to Science and Technology Commission of China Ministry of Education, 39, 1-7.
  3. Nair, V., Strecher, V., Fagerlin, A., Ubel, P., Resnicow, K., Murphy, S., Little, R., Chakraborty, B. and Zhang, A. (2008). Screening experiments and the use of fractional factorial designs in behavioral intervention research. American Journal of Public Health, 98, 1354-1359.
  4. Wu, Z.-L., Zhang, A., Li, C.-H. and Sudjianto, A. (2008). Trace solution paths for SVMs via parametric quadratic programming. In: Proceedings of KDD DMMT’2008. ACM Press.
  5. Zhang, A. (2007). One-factor-at-a-time screening designs for computer experiments. SAE Technical Paper, 2007-01-1660.
  6. Sudjianto, A., Cela-Diaz, F., Zhang, A., Yuan, M. (2007). Anomaly detection in high-dimensional financial databases. In: Proceedings of MLMTA’2007. CSREA Press.
  7. Zhang, A. (2005). Schur-convex discrimination of designs using power and exponential kernels. In: Contemporary Multivariate Analysis and Design of Experiments, 293-311. World Scientific Publisher.
  8. Zhang, A., Wu, Z.-L., Li, C.-H. and Fang, K.-T. (2003). On Hadamard-type output coding in multiclass learning. In: Intelligent Data Engineering and Automated Learning, 397-404. Springer-Verlag.


  1. Zhang, A. (2009). Statistical Methods in Credit Risk Modeling. PhD Dissertation (Co-advisors: Vijay Nair and Agus Sudjianto), University of Michigan.
  2. Zhang, A. (2004). Majorization Methodology for Experimental Designs. MPhil Dissertation (Supervisor: Kai-Tai Fang), Hong Kong Baptist University.