成青
- 副教授 硕士生导师

Empirical Bayes; variational inference and Bayesian variable selection;Machine Learning.
成青, 西南财经大学统计研究中心、统计与数据科学学院副教授。上海财经大学博士,新加坡国立大学Duke-NUS Medical School博士后,香港大学访问学者。主要研究领域包括基于孟德尔随机化的因果分析,函数型数据分析,交互效应特征筛选,条件独立性检验等,在 Nature Communications, Journal of the American Statistical Association, Bioinformatics, Briefings in Bioinformatics 等期刊发表论文,主持一项国家自科基金,四川省自科基金,2023年入选四川省省级人才。
研究经历
Postdoc Research Fellow, Center for Quantitative Medicine, Duke-NUS Medical School, National University of Singapore(Dr. Jin Liu, Aug. 2018 - Aug. 2021 )
Research Assistant, Dept. of SASA, HongKong University(Dr. Fei Jiang, Aug. 2017 - Feb.2018 )
学术论文(#为共同一作,*为通讯作者)
1. Qing Cheng, Wenxin Xu, Chan Wang, Jin Liu, and Yanyan Zhao. "RMR-ICP: robust Mendelian randomization method accounting for idiosyncratic and correlated pleiotropy with applications to stroke outcomes." Briefings in Bioinformatics 26, no. 5 (2025): bbaf508.
2. Kai Xu, Qing Cheng*, and Daojiang He. "On summed nonparametric dependence measures in high dimensions, fixed or large samples. " Computational Statistics and Data Analysis 205 (2025): 108109.
3. Kai Xu, Mingxiang Cao, and Qing Cheng*. "A bias-corrected Srivastava-type test for cross-sectional independence." Journal of Multivariate Analysis 205 (2025): 105371.
4. Xu, Kai, and Qing Cheng*. "Test of conditional independence in factor models via Hilbert–Schmidt independence criterion." Journal of Multivariate Analysis 199 (2024): 105241.
5. Qing Cheng, Xiao Zhang, Lin S. Chen, and Jin Liu."Mendelian randomization accounting for complex correlated horizontal pleiotropy while elucidating shared genetic etiology. " Nature communications, 13.1 (2022): 6490.
6. Qing Cheng, Tingting Qiu, Xiaoran Chai, Baoluo Sun, Yingcun Xia, Xingjie Shi, and Jin Liu.. MR-Corr2: a two-sample Mendelian randomization method that accounts for correlated horizontal pleiotropy using correlated instrumental variants. Bioinformatics. 2022 Jan 15;38(2):303-10.
7. Qing Cheng, Yi Yang, Xingjie Shi, Kar-Fu Yeung, Can Yang, Heng Peng, Jin Liu. “MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting linkage disequilibrium and horizontal pleiotropy.” NAR Genomics and Bioinformatics. 2020;2(2);1-13. (doi:10.1093/nargab/lqaa028).
8. Fei Jiang#, Qing Cheng #, Guosheng Yin, Haipeng Shen. “Functional Censored Quantile Regression.” Journal of the American Statistical Association. 2020; 115(530);931-944. (doi:10.1080/01621459.2019.1602047).
9. Qing Cheng, Liping Zhu . “On relative efficiency of principal Hessian directions.” Statistics and Probability Letters. 2017;126;108-113. (doi:10.1016/ j.spl.2017.02.030).
主持项目
主持:国家自然科学基金青年项目:“基于动态系统和孟德尔随机化的函数型数据研究及其在血压-卒中关联分析的应用”,项目编号:12301359,执行期限:2024年1月-2026年12月。
主持:四川省自然科学基金青年项目:“孟德尔随机化分析中复杂水平多效性的研究方法”,项目编号:2025ZNSFSC0814,执行期限:2025年1月-2026年12月。
1. Qing Cheng, Wenxin Xu, Chan Wang, Jin Liu, and Yanyan Zhao. "RMR-ICP: robust Mendelian randomization method accounting for idiosyncratic and correlated pleiotropy with applications to stroke outcomes." Briefings in Bioinformatics 26, no. 5 (2025): bbaf508.
2. Kai Xu, Qing Cheng*, and Daojiang He. "On summed nonparametric dependence measures in high dimensions, fixed or large samples. " Computational Statistics and Data Analysis 205 (2025): 108109.
3. Kai Xu, Mingxiang Cao, and Qing Cheng*. "A bias-corrected Srivastava-type test for cross-sectional independence." Journal of Multivariate Analysis 205 (2025): 105371.
4. Xu, Kai, and Qing Cheng*. "Test of conditional independence in factor models via Hilbert–Schmidt independence criterion." Journal of Multivariate Analysis 199 (2024): 105241.
5. Qing Cheng, Xiao Zhang, Lin S. Chen, and Jin Liu."Mendelian randomization accounting for complex correlated horizontal pleiotropy while elucidating shared genetic etiology. " Nature communications, 13.1 (2022): 6490.
6. Qing Cheng, Tingting Qiu, Xiaoran Chai, Baoluo Sun, Yingcun Xia, Xingjie Shi, and Jin Liu.. MR-Corr2: a two-sample Mendelian randomization method that accounts for correlated horizontal pleiotropy using correlated instrumental variants. Bioinformatics. 2022 Jan 15;38(2):303-10.
7. Qing Cheng, Yi Yang, Xingjie Shi, Kar-Fu Yeung, Can Yang, Heng Peng, Jin Liu. “MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting linkage disequilibrium and horizontal pleiotropy.” NAR Genomics and Bioinformatics. 2020;2(2);1-13. (doi:10.1093/nargab/lqaa028).
8. Fei Jiang#, Qing Cheng #, Guosheng Yin, Haipeng Shen. “Functional Censored Quantile Regression.” Journal of the American Statistical Association. 2020; 115(530);931-944. (doi:10.1080/01621459.2019.1602047).
9. Qing Cheng, Liping Zhu . “On relative efficiency of principal Hessian directions.” Statistics and Probability Letters. 2017;126;108-113. (doi:10.1016/ j.spl.2017.02.030).
主持项目
主持:国家自然科学基金青年项目:“基于动态系统和孟德尔随机化的函数型数据研究及其在血压-卒中关联分析的应用”,项目编号:12301359,执行期限:2024年1月-2026年12月。
主持:四川省自然科学基金青年项目:“孟德尔随机化分析中复杂水平多效性的研究方法”,项目编号:2025ZNSFSC0814,执行期限:2025年1月-2026年12月。
