A note on tail dependence regression. - Qingzhao Zhang 002; Deyuan Li; Hansheng Wang 002 (J. Multivar. Anal., 2013)

Jackknife empirical likelihood test for high-dimensional regression coefficients. - Yangguang Zang; Sanguo Zhang; Qizhai Li; Qingzhao Zhang 002 (Comput. Stat. Data Anal., 2016)

Detecting Difference Between Coefficients in Linear Model Using Jackknife Empirical Likelihood. - Xinqi Wu; Qingzhao Zhang 002; Sanguo Zhang (J. Syst. Sci. Complex., 2016)

Integrative sparse principal component analysis. - Kuangnan Fang; Xinyan Fan; Qingzhao Zhang 002; Shuangge Ma (J. Multivar. Anal., 2018)

Robust network-based analysis of the associations between (epi)genetic measurements. - Cen Wu; Qingzhao Zhang 002; Yu Jiang 005; Shuangge Ma (J. Multivar. Anal., 2018)

Structured analysis of the high-dimensional FMR model. - Mengque Liu; Qingzhao Zhang 002; Kuangnan Fang; Shuangge Ma (Comput. Stat. Data Anal., 2020)

HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysis. - Mingyang Ren; Sanguo Zhang; Qingzhao Zhang 002; Shuangge Ma (Bioinform., 2021)

Conditional score matching for high-dimensional partial graphical models. - Xinyan Fan; Qingzhao Zhang 002; Shuangge Ma; Kuangnan Fang (Comput. Stat. Data Anal., 2021)

Promote sign consistency in the joint estimation of precision matrices. - Qingzhao Zhang 002; Shuangge Ma; Yuan Huang (Comput. Stat. Data Anal., 2021)

Replicability in cancer omics data analysis: measures and empirical explorations. - Jiping Wang; Hongmin Liang; Qingzhao Zhang 002; Shuangge Ma (Briefings Bioinform., 2022)

iSFun: an R package for integrative dimension reduction analysis. - Kuangnan Fang; Rui Ren; Qingzhao Zhang 002; Shuangge Ma (Bioinform., 2022)

Biclustering analysis of functionals via penalized fusion. - Kuangnan Fang; Yuanxing Chen; Shuangge Ma; Qingzhao Zhang 002 (J. Multivar. Anal., 2022)

Subgroup analysis for high-dimensional functional regression. - Xiaochen Zhang; Qingzhao Zhang 002; Shuangge Ma; Kuangnan Fang (J. Multivar. Anal., 2022)

A tree-based gene-environment interaction analysis with rare features. - Mengque Liu; Qingzhao Zhang 002; Shuangge Ma (Stat. Anal. Data Min., 2022)

Locally sparse quantile estimation for a partially functional interaction model. - Weijuan Liang; Qingzhao Zhang 002; Shuangge Ma (Comput. Stat. Data Anal., 2023)

FunctanSNP: an R package for functional analysis of dense SNP data (with interactions). - Rui Ren; Kuangnan Fang; Qingzhao Zhang 002; Shuangge Ma (Bioinform., 2023)

Functional Linear Model with Prior Information of Subjects' Network. - Xiaochen Zhang; Qingzhao Zhang 002; Kuangnan Fang (J. Comput. Graph. Stat., 2024)

Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis. - Yuanxing Chen; Qingzhao Zhang 002; Shuangge Ma; Kuangnan Fang (J. Mach. Learn. Res., 2024)

Hierarchical false discovery rate control for high-dimensional survival analysis with interactions. - Weijuan Liang; Qingzhao Zhang 002; Shuangge Ma (Comput. Stat. Data Anal., 2024)

Community influence analysis in social networks. - Yuanxing Chen; Kuangnan Fang; Wei Lan; Chih-Ling Tsai; Qingzhao Zhang 002 (Comput. Stat. Data Anal., 2025)

Local Clustering for Functional Data. - Yuanxing Chen; Qingzhao Zhang 002; Shuangge Ma (J. Comput. Graph. Stat., 2025)

Subgroup Analysis of Differential Networks with Latent Variables. - Linxi Li; Shuangge Ma; Qingzhao Zhang 002 (Stat. Comput., 2025)

Hierarchical structure-guided high-dimensional multi-view clustering. - Jiajia Jiang; Kuangnan Fang; Shuangge Ma; Qingzhao Zhang 002 (J. Multivar. Anal., 2026)

Conditional Graphical Models With A Hierarchical Sparse Estimation. - Rong Li; Qingzhao Zhang 002; Shuangge Ma (Stat. Comput., 2026)