图形图像处理、机器学习、知识工程

《无线传感网络》、《过程控制仪表与装置》

1. 留学回国自然科学基金项目：“复杂多元删失纵向数据统计分析”，（编号：K690011G21）2005-2006年，项目负责人。

2. 国家自然科学海外杰出青年基金项目：“金融工程中统计模型的若干前沿问题研究”（编号：10628104），2006-2010年，国内合作人。

3. 国家重点基础研究发展计划(973计划)项目“金融风险控制中的定量分析与计算”子项目: “金融创新产品的设计和定价” （编号：2007CB814902），2007-2012年，参与。

4. 国家863重大项目“转化医学相关信息的整合与利用”（编号：SQ2007AA02Z336549）子项目“药物临床活性和药代特征的早期评价和预测网络计算系统”，2007-2011年，参与。

5. 国家基金委自然科学基金重点项目“复杂数据的统计分析及其应用” （编号：10731010）2007-2011年，协作单位项目负责人。

6. 国家自然科学基金委创新研究群体科学基金“随机复杂数据与随机复杂结构的理论方法及其应用”(编号：10721101)，2007-2013年，参与。

7. 国家杰出青年基金“风险计量经济模型的建模、预测及应用” （编号：70825004），2008-2012年，项目负责人。

8. 中国科学院科学出版基金的项目：“一般估计方程统计方法”，2008-2009年，项目负责人。

9. 国家自然科学基金委员会（NSFC）与英国爱丁堡皇家学会（RSE）在管理科学（Management Sciences）领域共同资助两国科学家的合作研究项目，“复杂经济系统中参数与非参数估计”（编号：70911130018），2009-2011年，项目负责人。

10. 国家自然科学基金委基金项目“复杂因素下金融风险度量与风险传染建模与风险管理” （编号：71271128）2012-2017年，负责人。

11. 国家自然科学基金委重点项目“复杂环境下资产定价与风险管理的金融计量理论及其应用” （编号：71331006 ）2013-2018年，项目负责人。

12. 国家自然科学基金委重大研究计划重点项目“金融大数据统计学习理论与方法及其在互联网金融中的应用” （编号：91546202 ）2016-2020年，项目负责人。

13. 国家自然科学基金重点项目“经济管理中复杂数据和复杂行为的分析方法及其应用”（编号：71931004 ）2019-2024年， 项目负责人。

14. 国家自然科学基金委重大研究计划“大数据驱动下的管理与决策”培育项目“面向大数据的统计分布式计算及隐私保护的理论与方法”（编号：92046005），2021-2022年，项目负责人 

15. 国家重点研发计划“油气管网安全运维的大数据分析理论、算法及应用”（批准号：2021YFA1000100，2021YFA1000101），2021.12-2026.11，项目负责人

(1) Zheng, S.M. Qin, J. and Zhou, Y. (2021). Effect assessment of age and gender on the incubation period of COVID-19 with mixture regression model. Journal of Data Science. To appear.

(2) Li, P. Song, S.S. and Zhou, Y. (2021). Semiparametric additive frailty hazard model for clustered failure time data. Canadian Journal of Statistics. To appear.

(3) Fan, C.Y. Lu,W.B. and Zhou, Y. (2021). Testing error heterogeneity in censored linear regression.Computational Statistics and Data Analysis, 161,107207.

(4) Jiang, Z.F. Yang, B.Y. Qin, J. and Zhou, Y. (2021). Enhanced empirical likelihood estimation of incubation period of COVID-19 by integrating published information. Statistics in Medicine.404252-4268.

(5) Xun, L. Zhang, G.C.Wang, D.H. and Zhou, Y. (2021) Estimating equation estimators of quantile differences for one sample with length-biased and right-censored data. Statistics and Its Interface,14, 183-195.

(6) Ma, H.J. Zhao,W. and Zhou, Y. *(2020). Semiparametric model of mean residual life with biased sampling data. Computational Statistics and Data Analysis, 142:106826.

(7) Song, X.Y., Kim D., Yuan, H.L., Cui, X.Y. Lu, Z.P. Zhou, Y. andWang, Y. (2020). Volatility analysis with realized GARCH-Ito models. Journal of Econometrics, 26,761-788.

(8) Chen, L.J. and Zhou, Y. (2020). Quantile regression in big data: a divide and conquer based strategy. Computational Statistics and Data Analysis, 142: 106892.

(9) He, Y. F. and Zhou, Y. (2020). Nonparametric and semiparametric estimators of restricted mean survival time under length-biased sampling. Accepted in Lifetime Data Analysis.

(10) Xu, D.* and Zhou, Y. (2020). Local composite partial likelihood estimation for length-biased and right-censored data. Journal of Statistical Computation and Simulation, 89 (14), 2661C2667.

(11) Xun, L., Li, T. and Zhou, Y. (2020). Estimators of quantile difference between two samples with length-biased and right-censored data. Test, 29, 409-429.

12) Liu, Y. T., Zhang, S. C. and Zhou, Y. Semiparametric quantile difference estimation for lengthbiased and right-censored data. Science in China, Mathematics. 62: 1823-1838.

(13) Chen, X.*, Chen, Y., Wan, A. and Zhou, Y. (2019). On the asymptotic non-equivalence of efficient-GMM and MEL estimators in models with missing data. Scandinavian Journal of Statistics,46(2),361-368

(14) Pan, J., Zhang, S. and Zhou, Y. (2019) Variable screening for ultrahigh dimensional censored quantile regression. Journal of Statistical Computation and Simulation, 89 (3), 395C413.

(15) Xun, L., and Zhou, Y. (2019) A generalization of Expected Shortfall based capital allocation.Statistics and Probability Letters, 146, 193-199.

(16) Zhang, F., Peng, H. and Zhou, Y. (2019) Fine-Gray proportional subdistribution hazards model for competing risks data under length-biased sampling. Statistics and its Interface, 12 (1), 107-122.

(17) Wei,W., Zhou, Y. andWan, Alan T. K. (2019) A semiparametric linear transformation model for general biased-sampling and right-censored data. Statistics and its Interface, 12(1), 77-92.

(18) Liu, Y., Lin, C. and Zhou, Y. (2019) Nonparametric estimates of conditional quantile residual lifetime for right censored data. Statistics and its Interface, 12 (1), 61-70

(19) Ma, H., Shi, J. and Zhou, Y. (2019) Proportional mean residual life model with censored survival data under case-cohort design. Statistics and its Interface, 12 (1), 21-33.

(20) Wang, X., Zhou, Y. and Liu, Y. (2019) Semiparametric varying-coefficient partially linear models with auxiliary covariates. Statistics and its Interface, 11 (4), 587-602.

(21) Qiu, Z. P., Wan Alan, T. K.*, Zhou, Y. and Gilbert, P. (2019). Smoothed rank regression for the accelerated failure time competing risks model with missing cause of failure. Statistica Sinica,29, 23-46.

(22) Liu, X.Q., Song, X. Y. and Zhou, Y. (2019). Likelihood ratio-type tests in weighted composite quantile regression of DTARCH models. Science China Mathematics, 62(12), 2571-2590.

(23) Wei, W. H. Wan, T. K. and Zhou, Y. (2018). Partially linear transformation model for lengthbiased and right-censored data. Journal of Nonparametric Statistics, 30(2), 332-367.、

(24) He, D., Zhou, Y., and Zou, H. (2018). High-dimensional variable selection with right censored length-biased data. Statistica Sinica, DOI: 10.5705/ss.202018.0089.

(25) Lin, C. J., Wei, W. H. * and Zhou, Y. (2018). Semiparametric estimation of treatment effect with density ratio model. Communications in Statistics-Theory and Methods, 14, 3338-3359.

(26) Zhang, L. Lin, C. and Zhou, Y. (2018). Generalized method of moments for nonignorable missing data. Statistica Sinica 28, 2107-2124

(27) Fan, C., Ma, H. * and Zhou, Y. (2018). Quantile regression for competing risks analysis under case-cohort design. Journal of Statistical Computation and Simulation, 88(6), 1060-1080.

(28) Zhang, S. * and Zhou, Y. (2018). Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations. Journal of Multivariate Analysis, 165, 1-13.

(29) Liu, Y., Zhang, S. * and Zhou, Y. (2018). Semiparametric estimation of quantile differences for length-biased and right-censored data. Science in China Mathematics, to appear.

(30) Pan, J., Yu, Y., and Zhou, Y. (2018). Nonparametric independence feature screening for ultrahigh dimensional survival data. Metrika, 81, 821-847.

(31) Yu, Y. He, D. and Zhou, Y. (2018). Robust model-free feature screening based on modified Hoeffding measure for ultra-high dimensional data, Statistics and Its Interface, 11, 473-489.

(32) Zhang, F.*, Zhao. X. and Zhou, Y. (2018). An embedded estimating equation for additive risk model with biased-sampling data. Science in China, Mathematics, 61(8), 1495-1518.

(33) Wang, X. J.*, Zhou, Y. and Liu, Y. (2018). Semiparametric varying-coefficient partially linear model with auxiliary covariates. Statistics and Its Interface, 11587-602.

(34) Zhang, F. and Zhou, Y. * (2018). Nonparametric quantile estimate for length-biased and right censored data with competing risks. Communications in Statistics-Theory and Methods, 10, 2407-2424

(35) Zhang S. Z. Pan, J. and Zhou, Y. (2018). Robust conditional nonparametric independence screening for ultrahigh-dimensional data. Statistics and Probability Letters, 143, 95-101.

(36) Shi, J. H.*, Ma, H. J. and Zhou, Y. (2018). The nonparametric quantile estimation for lengthbiased and right-censored data. Statistics and probability Letter, 134, 150-158.

(37) Fan, C., Ma, H.* and Zhou, Y. (2018). Quantile regression for competing risks analysis under case-cohort design. Journal of Statistical Computation and Simulation, 88(6), 1060-1080.

(38) Zhang, S.* and Zhou, Y. (2018). Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations. Journal of Multivariate Analysis, 165, 1-13.

(39) Zhang, F. and Zhou, Y. * (2018). Nonparametric quantile estimate for length-biased and rightcensored data with competing risks. Communications in Statistics-Theory and Methods, 10, 2407-2424

1. 湖南省优秀科技成果三等奖（1990年）；

2. 中国科学院应用数学研究所优秀博士奖（1994年）；

3. 作为主要参加者参加的中国航天工业总公司的项目“系统可靠性增长试验设计与分析”，获航天工业总公司科技进步二等奖（1997年）。

4. 国家统计局优秀科研成果（论文类）二等奖（2012年）

5. 《创新统计人才培养模式的实践与探索》上海市教学成果一等奖(2017年，排名1)。