Research Interest

My main research interest is optimal design of experiment, which is to study the most cost effective way of conducting experiments with the purpose of maximizing the information of the data to be collected. In addition, I am also interested in the interface between design and computing in two ways. The obvious one is to develop fast algorithms to derive optimal or efficient designs. The other one is the opposite: use the design idea to improve on computational performance of the methods in both statistics and machine learnings. 

Selected Publications (Google Scholar)

• Liu, Y., Zhou, Y., Fu, H., Liu, M., and Zheng, W. (2023) Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs Journal of the American Statistical Association. To appear.

• Kong, X., Fu, J., and Zheng, W. (2023) Optimal noncircular designs for interference models. Stat. e575.

• Kong, X., Zhang, X., and Zheng, W. (2023) Circular designs for total effects under interference models. Journal of Statistical Planning and Inference. 227 146-161.

• Kong, X., Yuang, M., and Zheng, W. (2021) Optimal designs for estimating the total effects in the non-circular interference model. Annals of Statistics 49, 1594-1625

• Kong, X. and Zheng, W. (2021) Design based incomplete U-statistics. Statistica Sinica  31 1593-1618.

• Hedayat, A. S., Xu, H. and Zheng, W. (2020) Optimal blocks designs with two dimensional interference. Journal of the American Statistical Association 115, 1812-1821

• Zheng, W., Ai, M.and Li, K. (2017). Identification of universally optimal circular designs for the interference model. Annals of Statistics 45 1462-1487.

• Li, K., Zheng, W. and Ai, M. (2015). Optimal designs for the proportional interference model. Annals of Statistics 43 1596-1616.

• Zheng, W. (2015) Universally optimal designs for two interference models. Annals of Statistics 43 501-518.

• Zheng, W. (2013). Optimal crossover designs for the proportional model. Annals of Statistics 41 2218-2235.

• Zheng, W. (2013). Universally optimal crossover designs under subject dropout. Annals of Statistics 41 63-90.

• Hedayat, A.S. and Zheng, W. (2010). Optimal and efficient crossover designs for test-control study when subject effects are random. Journal of the American Statistical Association 105 1581-1592.