Hu, J.*, Zhang, J.*, Qin, H., Yan, T., Zhu, J. (2019), Using Maximum Entry-Wise Deviation to Test the Goodness-of-Fit for Stochastic Block Models, Journal of the American Statistical Association, in press (*joint first authorship).
Zhang, J., Sun, W.W. and Li, L. (2019), Mixed-effect time-varying stochastic blockmodel and application in brain connectivity analysis, Journal of the American Statistical Association, in press.
Zhang, J. and Chen, Y. (2019), Modularity based community detection in heterogeneous networks, Statistica Sinica, in press.
Deng, C., Guan, Y., Waagepetersen, R. and Zhang, J. (2017), Second-order Quasi-likelihood for Spatial Point Processes, Biometrics, 73, 1311-1320.
Zhang, J. and Cao, J. (2017), Finding Common Modules in a Time-Varying Network with Application to the Drosophila Melanogaster Gene Regulation Network, Journal of the American Statistical Association, 112, 994-1008.
Zhang, J. and Chen, Y. (2017), A Hypothesis Testing Framework for Modularity Based Network Community Detection, Statistica Sinica, 27, 437-456.
Zhang, J. and Chen, Y. (2015), Monte Carlo Algorithms for Identifying Densely Connected Subgraphs, Journal of Computational and Graphical Statistics, 24, 827-845.
Zhang, J. and Chen, Y. (2013), Sampling for Conditional Inference on Network Data, Journal of the American Statistical Association, 108, 1295-1307 (winner of the student paper competition by the ASA Sections on Statistical Computing and Statistical Graphics, 2012).
He, X., Yang, Y. and Zhang, J. (2012), Bivariate Downscaling with Asynchronous Measurements, Journal of Agricultural, Biological, and Environmental Statistics, 17, 476-489.
