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Xin Xing

Assistant Professor


  • Ph.D. – Statistics –University of Georgia 2018
  • M.S. - Statistics – University of Science and Technology of China 2013
  • B.S. - Statistics, University of Science and Technology of China 2010

Awards and Honors

  • New Faculty Mentoring Grant, Virginia Tech, 2020-2022
  • Best Senior PhD Student, UGA, May. 2018.
  • Best Beginning PhD Student, UGA, Jul. 2014.
  • Outstanding Dissertation for Bachelor’s Degree, USTC, Jul. 2010.

List of courses taught

  • CMDA 3654 Lecture: Intro to Data Analytics & Visualization, Fall, 2020

List of research projects

  • Bioinformatics: metagenomics, single cell, epigenomics, neuroimaging
  • Statistics: minimax nonparametric testing, smoothing spline, dimension reduction, controlled variable selection
  • Machine learning: neural network, transfer learning
  • Xin Xing, Meimei Liu, Wenxuan Zhong, Ping Ma. (2020). Minimax Nonparametric Parallelism Test, Journal of Machine Learning Research, 21(94):1-47.
  • Xin Xing, Long Sha, Pengyu Hong, Zuofeng Shang, Jun S. Liu (2020). Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. International Conference on Learning Representations (ICLR)
  • Xin Xing, Yu Gui, Chengguang Dai, Jun S. Liu (2020). Deep Gaussian Mirror for Controlled Variable Selection, IEEE ICMLA, 2020.
  • Terry Ma, Di Xiao, Xin Xing (Corresponding author) (2019). MetaBMF: A Scalable Binning Algorithm for Large-scale Reference-free Metagenomic Studies. Bioinformatics.
  • Xin Xing, Jun S. Liu,Wenxuan Zhong (2018). MetaGen: reference-free learning with multiple metagenomic samples. Genome biology, 18 (1), 187, 2018.
  • Terry Ma, Xin Xing (2018). A Scalable Reference-Free Metagenomic Binning Pipeline. International Symposium on Bioinformatics Research and Applications, 79-83.
  • Yiwen Liu, Xin Xing, Wenxuan Zhong (2018). Sufficient Dimension Reduction for Tensor Data. Handbook of Big Data Analytics, Springer.
  • Wenxuan Zhong, Xin Xing, Kenneth Suslick (2015). Tensor Sufficient Dimension Reduction WIREs Computational Statistics, 7(3), 178-184.
  • Xin Xing, Jinjin Hu, and Yaning Yang (2014). Robust minimum variance portfolio with L-infinity constraints, Journal of Banking and Finance, 46, 107-117.
  • Xin Xing, Meimei Liu, Weiping Zhang (2014). Joint Semiparametric Mean-Covariance Modeling by Moving Average Cholesky Decomposition for Longitudinal Data, Journal of University of Science and Technology of China, 43(8), 607-621.