谌自奇

生物统计、高维数据分析、剖面似然、函数型数据、生存分析、机器学习，神经网络等

高等数理统计学、生物统计学

[1] 国家自然科学基金面上项目, 11871477, 基于剖面似然的若干新统计推断方法研究， 2019.01-2022.12，主持。

[2] 国家自然科学基金青年基金, 11401593, 基于剖面似然的统计推断，2015.01-2017.12，主持。

[3]国家自然科学基金面上项目, 12271167, 高维图模型中的若干新问题研究。46万元，2023.01—2026.12，主持。

[4]国家自然科学基金重点项目，72331005，大数据背景下不完全数据的统计分析方法、理论和应用，165万元，2024.01—2028.12，子课题负责人。

[5]科技部, 国家重点研发计划数学与应用研究专项, 2021YFA1000100,油气管网安全运维的大数据理论、算法及应用, 2021-12 至 2026-11,1370万元, 研究骨干。

[6]上海市科学技术委员会,“科技创新行动计划”基础研究领域应用数学重点项目,22JC1400800,大数据背景下航空安全管理中的关键数理问题研究, 2022-07 至 2025-06, 240万元, 研究骨干。

代表性论文：

期刊论文：

[1] Chen, Ziqi, Ning, Jing, Shen, Yu, Qin, Jing. Combining Primary cohort data with external aggregate information without assuming comparability. Biometrics. (Accept) (SCI)

[2] Chen, Ziqi, Hu, Jianhua, Zhu, Hongtu. Surface Functional Models. Journal of Multivariate Analysis. (Accept) (SCI)

[3] Jiang, Binyan, Chen, Ziqi, Leng, Chenlei. Dynamic Linear Discriminant Analysis for High-dimensional Data. Bernoulli. 26, 1234-1268. 2020. (SCI)

[4] Chen, Ziqi, Gao, Qibing, Fu, Bo, Zhu, Hongtu. Monotone Nonparametric Regression for Functional/Longitudinal Data. Statistica Sinica. 29, 2229-2249. 2019. (SCI)

[5] Chen, Ziqi, Tang, Man-Lai, Gao, Wei, A profile likelihood approach for longitudinal data analysis, Biometrics, 74, 220–228，2018 (SCI)

[6] Chen, Ziqi, Leng, Chenlei, Dynamic covariance models. Journal of the American Statistical Association, 111, 1196-1207, 2016. (SCI)

[7] Chen, Ziqi, Leng, Chenlei, Local linear estimation of covariance matrices via Cholesky decomposition, Statistica Sinica, 25, 1249-1263, 2015. (SCI)

[8] Chen, Ziqi, Tang, Man-Lai, Gao, Wei, Shi, Ning-Zhong, New robust variable selection methods for linear regression models, Scandinavian Journal of Statistics, 41(3), 725-741, 2014. (SCI)

[9] Chen, Ziqi, Shi, Ning-Zhong, Gao, Wei, Tang, Man-Lai, Efficient semiparametric mean-association estimation for longitudinal binary responses, Statistics in Medicine, 31(13), 1323- 1341, 2012. (SCI)

[10] Chen, Ziqi, Shi, Ning-Zhong, Gao, Wei, Tang, Man-Lai, Efficient semiparametric estimation via Cholesky decomposition for longitudinal data, Computational Statistics and Data Analysis, 55(12), 3344-3354, 2011. (SCI)

会议论文：

[1] Shu, Hai, Shi, Ronghua, Jia, Qiran, Zhu, Hongtu, Chen, Ziqi*. mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks，IJCNN2022 (International Joint Conference on Neural Networks, CCF-C), Oral.

[2] Li Shuai, Chen, Ziqi*, Zhu Hongtu, Wang Dan, Wen Wang. Nearest-Neighbor Sampling Based Conditional Independence Testing. AAAI Conference on Artificial Intelligence 2023, AAAI2023, CCF-A, Oral.

[3]Li Shuai, Zhang Yingjie, Zhu Hongtu, Wang Dan, Shu Hai, Chen, Ziqi*, Sun Zhuoran, Yang Yanfeng, K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing.NeurIPS 2023, CCF-A.

2014年吉林省优秀博士学位论文