(1) Zhou Jie et al. High-Dimensional Linear State Space Models for Dynamic Microbial Interaction Networks, PLOS ONE, 2017, https://doi.org/10.1371/journal.pone.0187822.

(2) Zhou Jie*, Feng Hailin. Consistent estimation of ordinary differential equation when transformation parameter is unknown, Statistics & Probability Letters, 2016,115: 60-69.

(3) Zhou Jie*; Tang Aiping; Feng Hailin. Monte carlo likelihood estimation of mixed-effects state space models with application to HIV dynamics, 2016, Journal of Systems Science and Complexity，34:16-24. 

(4) Zhou Jie*. Detection of influential measurement for ordinary differential equation with application to HIV dynamics, Statistics & Probability Letters, 2015,107: 324-332.

(5) Zhou Jie*; Han Lu; Liu Sanyang. Kernel-based profile estimation for ordinary differential equations with partially measured state variables, Communications in Statistics: Theory and Methods, 2015, 44: 3446-3463.

(6) Zhou Jie*., Han Lu., Liu Sanyang. Nonlinear mixed-effects state space models with applications to HIV dynamics. Statistics & Probability Letters, 2013, 88:1448-1456.

(7) 周杰*,刘三阳,周芳,Wu Hulin. HIV模型的统计诊断.科学通报，2012，57(8)：621-629.

(8) Zhou Jie*. Maximum likelihood ratio test for the stability of a sequence of Gaussian processes. Computational Statistics & Data Analysis, 2011, 55(6): 2114-2127.

(9) 周杰*，吴婷.线性常微分方程参数稳定性的统计推断.中国科学：数学，2011, 41(6):559-576.

(10) Zhou Jie*., Liu Sanyang. Inference of mean change point in AR(p) process with infinite variance. Statistics & Probability Letters, 2009, 79: 6-15.

(11) 周杰*,刘三阳.无穷方差非线性自回归序列的自加权L_1估计.高校应用数学学报, 2008, 23(2):193-199.

(12) 周杰*, 刘三阳.乘积误差模型的渐近性质.应用数学学报, 2008, 31(2)：359-366.

(13) 周杰*, 刘三阳.非线性自回归序列L_1估计的渐近分布.高校应用数学学报, 2007, 22(4)：427-432.

(14) 吴婷*,刘三阳,周杰.复合核估计法的纠偏及稳健估计.高校应用数学学报,2012, 27(2): 137-145.

(15) Wu Ting, Liu Sanyang, Zhou Jie. Statistical diagnosis for HIV dynamics based on mean shift outlier model, Journal of Systems Science and Complexity, 2015, 28(3): 592-605.

(16) Wu Jiansheng*., Zhou Jie., Gao Yuelin. Support vector regression based on particle swarm optimization and projection pursuit technology for rainfall forecasting. IEEE Conference on Computational Intelligence and Security, 2009.9,Beijng, P. R. China, 9.21-9.24.