Minjie Wang

I am an Assistant Professor in the Department of Mathematics and Statistics at Binghamton University. Prior to joining Binghamton, I was a postdoctoral researcher in the School of Statistics at the University of Minnesota, working with Prof. Xiaotong Shen and Prof. Wei Pan. I obtained my Ph.D. in Statistics at Rice University, where I was fortunate to be advised by Prof. Genevera Allen. I received my bachelor's degree from the School of Mathematical Sciences at Fudan University in 2014. I am broadly interested in developing statistical methods to help scientists interpret large-scale and complex datasets. My research interests include causal discovery, graphical models, data integration, high-dimensional statistical inference, variable selection, and generative models. E-mail: mwang46 [AT] binghamton [DOT] edu Google Scholar

Preprints

• Fast and Accurate Graph Learning for Huge Data via Minipatch Ensembles
  Tianyi Yao, Minjie Wang, and Genevera I. Allen

Publications

• Causal Discovery with Generalized Linear Models through Peeling Algorithms
  Minjie Wang, Xiaotong Shen, and Wei Pan
  Journal of Machine Learning Research, 25(310), 2024, 1-49.
  

• Supervised Convex Clustering
  Minjie Wang, Tianyi Yao, and Genevera I. Allen
  Biometrics, 79(4), 2023, 3846-3858.
  (An earlier version of this paper received Statistical Learning and Data Science (SLDS) 2020 Conference Student Paper Competition Award, American Statistical Association.)
  

• Thresholded Graphical Lasso Adjusts for Latent Variables
  Minjie Wang and Genevera I. Allen
  Biometrika, 110(3), 2023, 681-697.
  

• Sparse Regression for Extreme Values
  Andersen Chang, Minjie Wang, and Genevera I. Allen
  Electronic Journal of Statistics, 15(2), 2021, 5995-6035.
  

• Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data
  Minjie Wang and Genevera I. Allen
  Journal of Machine Learning Research, 22(55), 2021, 1-73.
  (An earlier version of this paper received JSM Biometrics Section 2020 Travel Award, American Statistical Association.)