[1] Chen, H., He, Y., Ji, J., & Shi, Y. (2019). A Machine Learning Method for Identifying Critical Interactions Between Gene Pairs in Alzheimer’s Disease Prediction. Frontiers in Neurology, 10.
[2] Chen,J.&Lin,C.(2019). An Empirical Study on the Stock Prices Moving Trend based on DWT. ISCIIA2018&ITCA2018.
[3] Dong, H., Yin, C., & Dai, H. (2019). Spectrally negative Lévy risk model under Erlangized barrier strategy. Journal of Computational and Applied Mathematics,, 101-116.
[4] Gao, N., Li, C., Ji, J., Yang, Y., Wang, S., Tian, X., & Xu, K. (2019). Short-term effects of ambient air pollution on chronic obstructive pulmonary disease admissions in Beijing, China (2013–2017). International Journal of Chronic Obstructive Pulmonary Disease,, 297-309.
[5] Hao, T., & Meng, Q. (2019). A second-order maximum principle for singular optimal controls with recursive utilities of stochastic delay systems. European Journal of Control,, 96-106.
[6] He Y, Zhang L, Ji J, Zhang X. (2019) Robust Feature Screening for Elliptical Copula Regression Model. Journal of Multivariate Analysis, 173, 568-582.
[7] Kong, Y., Li, Y., & Zerom, D. (2019). Screening and selection for quantile regression using an alternative measure of variable importance. Journal of Multivariate Analysis,, 435-455.
[8] Li, G., & Li, Z. (2019). On a class of left-continuous uninorms constructed from the representable uninorm. Journal of Intelligent and Fuzzy Systems, 36(6), 6653-6661.
[9] Lin, C., Wang, Y., Li, J., & Ren, Y. (2019). Analysis of Factors Influencing the Willingness of Signing Family Doctors—Based on the Survey Data of Unsigned Residents in Jinan. DEStech Transactions on Economics, Business and Management,.
[10] Yu, L., He, Y., & Zhang, X. (2019). Robust factor number specification for large-dimensional elliptical factor model. Journal of Multivariate Analysis,.
[11] Zhang, Y., Song, Y., Lin, L., & Wang, X. (2019). Nonparametric Regression Combining Linear Structure. Wuhan University Journal of Natural Sciences, 24(4), 277-282.
[12] Zhao,Y.(2019). Optimal Decision-making for Green Supply Chain Based on Overconfidence under the Carbon Emission Constraint. Journal Européen des Systèmes Automatisés,52(2),199-204.
[13] Zhu, Z., Bai, Z., Vieito, J. P., & Wong, W. (2019). The impact of the global financial crisis on the efficiency and performance of Latin American stock markets. Estudios De Economia, 46(1), 5-30.
[14] Dai, H., Shen, G., & Xia, L. (2018). OPERATOR FRACTIONAL BROWNIAN SHEET AND MARTINGALE DIFFERENCES. BULLETIN OF THE KOREAN MATHEMATICAL SOCIETY, 55(1), 9–23.
[15] Elie Bouri, Rangan Gupta, Wing-Keung Wong, Zhen-Zhen Zhu (2018). Is Wine a Good Choice for Investment? [J]. Pacific-Basin Finance Journal，Volume 51, October 2018, Pages 171-183.
[16] Gao N, Zhang T, Ji J, Xu K, Tian X. The efficacy and adverse events of mTOR inhibitors in lymphangioleiomyomatosis: systematic review and meta-analysis. Orphanet Journal of Rare Diseases. 2018, 13:134.
[17] He Y, Ji J, Xie L, Zhang X, Xue F. (2018) A New Insight into Underlying Disease Mechanism through Semi-parametric Latent Differential Network Model. BMC Bioinformatics, 19 (Suppl 17), 493.
[18] He Y, Zhang X, Zhang L. (2018) Variable Selection for High Dimensional Gaussian Copula Regression Model: An Adaptive Hypothesis Testing Procedure. Computational Statistics & Data Analysis, 124, 132-150.
[19] Jianhui Huang and Na Li*, Linear-Quadratic Mean-Field-Game for Stochastic Delayed Systems, IEEE Transactions on Automatic Control,Vol.63, No. 8, pp. 2722-2729, 2018.08.
[20] Na Li and Zhiyong Yu, Forward-Backward Stochastic Differential Equations and Linear-Quadratic Generalized Stackelberg Games, SIAM Journal on Control and Optimization, Vol. 56, No. 6, pp. 4148-4180, 2018.11.
[21] Na Li, Yuan Wang and Zhen Wu*, An Indefinite Stochastic Linear-Quadratic Optimal Control Problem with Delay and Related Forward-Backward Stochastic Differential Equations, Journal of Optimization Theory and Applications, Vol. 179, pp. 722-744, 2018.11.
[22] Na Li，Zhen Wu and Zhiyong Yu*，Indefinite stochastic linear-quadratic optimal control problems with random jumps and related stochastic Riccati equations，Science China Mathematics， Vol.61, No. 3, pp. 563-576, 2018.03.
[23] Shen, L., Xu, Q., Cao, D., Liang, Y., & Dai, H. (2018). The hybrid of semisupervised manifold learning and spectrum kernel for classification. Journal of Chemometrics, 32(2).
[24] Wang P, Tang Y, Bae S, He Y. (2018) Bayesian Analysis of Two-Phase Degradation Data Based on Change-Point Wiener Process. Reliability Engineering and System Safety, 170, 244-256.
[25] Xinyan NiuJianbo CuiJialin HongZhihui Liu. Explicit pseudo-symplectic methods for stochastic Hamiltonian systems [J]. BIT，2018，(58):163-178.
[26] Yu, Y., He, D., & Zhou, Y. (2018). Robust model-free feature screening based on modified Hoeffding measure for ultra-high dimensional data. Statistics and Its Interface, 11(3), 473-489.
[27] Zhang M, Zhou C, He Y*, Liu B. (2018) Data-Adaptive Test for High-dimensional Multivariate Analysis of Variance Problem. Australian & New Zealand Journal of Statistics, 60, 447-470.
[28] Zhang M, Zhou C, He Y*, Zhang X. (2018) Adaptive Test for Mean Vectors of High-dimensional Time Series Data with Factor Structure. Journal of the Korean Statistical Society, 47, 450-470.
[29] Zhang, M., Zhou, C., He, Y., & Liu, B. (2018). Data‐adaptive test for high‐dimensional multivariate analysis of variance problem. Australian & New Zealand Journal of Statistics, 60(4), 447-470.
[30] Zhao, X., Dong, H., & Dai, H. (2018). On spectrally positive Lévy risk processes with Parisian implementation delays in dividend payments. Statistics & Probability Letters, 176-184.
[31] Zhao, Y. (2018). Effect of Odor Marketing on Consumers’ Perceived Experience and Its Digitalizing Application. Chemical Engineering Transactions, 68, 379-384.