I am an Assistant Professor in the Department of Statistics at Virginia Tech. Prior to VT, I worked with Jun Liu as a post-doc in Department of Statistics at Harvard University. I graduated from University of Georgia supervised by Wenxuan Zhong . I received a M.S. and B.S. in statistics supervised by Yaning Yang at University of Science and Technology of China.
Statistics: minimax nonparametric testing, smoothing spline, dimension reduction, controlled variable selection
Machine learning: neural network, domain adaptation, transfer learning
Computational biology: metagenomics, single cell, epigenomics, neuroimaging
- 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.