一、教育背景：
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。
二、研究方向:
基于孟德尔随机化的因果分析，条件独立性检验，函数型数据分析，交互效应特征筛选等
三、学术成果：
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.
Kai Xu, Mingxiang Cao, and Qing Cheng*. "A bias-corrected Srivastava-type test for cross-sectional independence." Journal of Multivariate Analysis 205 (2025): 105371.
Xu, Kai, and Qing Cheng*. "Test of conditional independence in factor models via Hilbert–Schmidt independence criterion." Journal of Multivariate Analysis 199 (2024): 105241.
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.
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.
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).
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).
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).
Kai Xu, Yan Tian, Qing Cheng. “Testing Regression Coefficients in High-Dimensional and Sparse Settings”. Acta Mathematica Sinica, English Series. 2021. 37, 1513-1532. (doi: 10.1007/s10114-021-9468-8 )
Xingjie, Shi, Xiaoran Chai, Ying Yang, Qing Cheng,..., “A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies.” Nucleic Acids Research. 2020. 48(19), 109-109. (doi: //dx.doi.org/10.1101/789396.).
Kai, Xu, Zhiling Shen, Xudong Huang, Qing Cheng. “Projection correlation between scalar and vector variables and its use in feature screening with multi-response data.” Journal of Statistical Computation and Simulation. 2020;90(11); 1923-1942. (doi:10.1080/00949655.2020.1753057).
Joe P Yeong ,..., Qing Cheng,....“ Multiplex immunohistochemistry/immunofluorescence(mIHC/IF) for PD-L1 testing in triple negative breast cancer: a translational assay compares to conventional IHC.” Journal of Clinical Pathology. 2020;73(9);557-562.(doi:10.1136/jclinpath- 2019-206252).
四、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。
