谌自奇 - 华东师范大学 - 经济与管理学部

个人简介

谌自奇，研究方向包含生物统计、高维统计分析，函数型（纵向）数据分析，基于剖面似然的统计推断，生存分析、机器学习，神经网络等。主持国家自然科学基金面上项目2项，国家自然科学基金青年项目1项，湖南省自然科学基金项目1项，获得中国博士后面上和特别资助。在JASA, Biometrics, Statistica Sinica, Scandinavian Journal of Statistics等国际权威统计期刊和NeurIPS(人工智能顶会)、AAAI(人工智能顶会)，IJCNN等会议上发表论文20余篇。工作经历 2016.07-2019.08，MD Anderson Cancer Center （美国）生物统计系, 博士后（合作导师：朱宏图教授、胡建华教授、宁静教授） 2012.09-2020.06, 中南大学，数学与统计学院，讲师、副教授 2020.07-至今，华东师范大学，经济与管理学部统计学院，研究员、博士生导师教育经历 2006.09-2012.07，硕博连读，东北师范大学数学与统计学院（导师：史宁中教授、高巍教授）荣誉及奖励 2014年吉林省优秀博士学位论文

研究领域

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

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

期刊论文 Chen, Ziqi, Ning, Jing, Shen, Yu, Qin, Jing. Combining Primary cohort data with external aggregate information without assuming comparability. Biometrics. (Accept) (SCI) Chen, Ziqi, Hu, Jianhua, Zhu, Hongtu. Surface Functional Models. Journal of Multivariate Analysis. (Accept) (SCI) Jiang, Binyan, Chen, Ziqi, Leng, Chenlei. Dynamic Linear Discriminant Analysis for High-dimensional Data. Bernoulli. 26, 1234-1268. 2020. (SCI) Chen, Ziqi, Gao, Qibing, Fu, Bo, Zhu, Hongtu. Monotone Nonparametric Regression for Functional/Longitudinal Data. Statistica Sinica. 29, 2229-2249. 2019. (SCI) Chen, Ziqi, Tang, Man-Lai, Gao, Wei, A profile likelihood approach for longitudinal data analysis, Biometrics, 74, 220–228，2018 (SCI) Chen, Ziqi, Leng, Chenlei, Dynamic covariance models. Journal of the American Statistical Association, 111, 1196-1207, 2016. (SCI) Chen, Ziqi, Leng, Chenlei, Local linear estimation of covariance matrices via Cholesky decomposition, Statistica Sinica, 25, 1249-1263, 2015. (SCI) 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) 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) 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 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. 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. 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.