Publications

(* corresponding author, # co-first author)

Submitted Papers

• Structural transfer learning of non-Gaussian DAG [arXiv] [R package]
  Mingyang Ren, Xin He & Junhui Wang
• Transfer learning for tensor Gaussian graphical models [arXiv] [R package]
  Mingyang Ren, Yaoming Zhen & Junhui Wang
  Reject with encouragement to resubmit, Journal of Machine Learning Research.
• Gaussian graphical model-based hierarchical cancer heterogeneity analysis via integrating pathological imaging and omics data
  Mingyang Ren, Qingzhao Zhang, Sanguo Zhang & Shuangge Ma
  This work wins Distinguished Student Paper Award from the International Biometric Society ENAR 2023 spring meeting.
• Network embedding-based directed community detection with unknown community number
  Qingzhao Zhang, Jinlong Zhou & Mingyang Ren*
  Reject with encouragement to resubmit, Journal of Computational and Graphical Statistics.
• Integrative learning of linear non-Gaussian directed acyclic graphs
  Xuanyu Li, Sanguo Zhang, Mingyang Ren* & Qingzhao Zhang*

Statistical Publications

• Information-incorporated sparse hierarchical cancer heterogeneity analysis
  Wei Han, Sanguo Zhang, Shuangge Ma & Mingyang Ren*
  Statistics in Medicine, 2024+, in press.
• Matrix regression heterogeneity analysis
  Fengchuan Zhang, Sanguo Zhang, Shiming Li & Mingyang Ren*
  Statistics and Computing, 2024+, in press.
• Consistent estimation of the number of communities via regularized network embedding
  Mingyang Ren, Sanguo Zhang & Junhui Wang
  Biometrics, 2023. [Article][Codes] [R package]
• Hierarchical cancer heterogeneity analysis based on histopathological imaging features
  Mingyang Ren, Qingzhao Zhang, Sanguo Zhang, Tingyan Zhong, Jian Huang & Shuangge Ma
  Biometrics, 2022. [Article] [Codes] [R package]
• Gaussian graphical model-based heterogeneity analysis via penalized fusion
  Mingyang Ren, Sanguo Zhang, Qingzhao Zhang & Shuangge Ma
  Biometrics, 2022. [Article] [Codes] [R package]
• Gene-environment interaction identification via penalized robust divergence
  Mingyang Ren, Sanguo Zhang, Shuangge Ma & Qingzhao Zhang
  Biometrical Journal, 2022. [Article] [Codes]
• HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysis
  Mingyang Ren, Sanguo Zhang, Qingzhao Zhang & Shuangge Ma
  Bioinformatics, 2021. [Article] [Github] [CRAN]
• Robust high-dimensional regression for data with anomalous responses
  Mingyang Ren, Sanguo Zhang & Qingzhao Zhang
  Annals of the Institute of Statistical Mathematics, 2021. [Article]
• Empirical likelihood test for regression coefficients in high-dimensional partially linear models
  Yan Liu, Mingyang Ren & Sanguo Zhang
  Journal of Systems Science and Complexity, 2020. [Article]

Medical Publications

• Effect of text messaging parents of school-aged children on outdoor time to control myopia: a randomized clinical trial
  Shiming Li, Anran Ran, Mengtian Kang, Xiaoyuan Yang, Mingyang Ren, Shifei Wei, Jiahe Gan, Lei Li, Xi He, He Li, Luoru Liu, Yipeng Wang, Siyan Zhan, David Atchison, Ian Morgan, Ningli Wang
  JAMA Pediatrics, 2022. [Article]
• Machine learning to determine risk factors for myopia progression in primary school children: the Anyang childhood eye study
  Shiming Li #, Mingyang Ren #, Jiahe Gan #, Sanguo Zhang, Mengtian Kang, He Li, David A. Atchison, Jos Rozema, Andrzej Grzybowski & Ningli Wang
  Ophthalmology and Therapy, 2022. [Article]

Academic Talks

Invited Talks

• Structural transfer learning of non-Gaussian DAG
  Shanghai University of Finance and Economics, Shanghai, China, Oct. 25, 2023.
  University of Chinese Academy of Sciences, Beijing, China, Jul. 12, 2023.
  The 9th International Forum on Statistics, Renmin University of China, Beijing, China, Jul. 14, 2023.
• Gaussian graphical model-based hierarchical cancer heterogeneity analysis via integrating pathological imaging and omics data
  ENAR 2023 Spring Meeting, International Biometric Society
  Nashville, Tennessee, USA, Mar. 2023.
• Let data speak
  Chinese Research Academy of Environmental Sciences
  Beijing, China, Aug. 2019.

Contributed Conference Talks

• TransGraph: an R package for transfer graph learning
  The 16th China-R Conference
  Online/Beijing, China, Nov. 2023.
• Identifying gene-environment interactions using a penalized robust divergence approach
  The 19th Annual Conference of Chinese Association for Applied Statistics
  Beijing, China, Nov. 2019.
• Robust high-dimensional variable selection for mislabel logistic regression
  The 11th National Annual Conference on Probability and Statistics
  Chengdu, China, Oct. 2018.
• Robust signed-rank-based high-dimensional test for mean vector
  The 4th High Dimensional Data Conference of Chinese Association for Applied Statistics
  Nanchang, China, Apr. 2018.