Shengming Luo
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Department of Statistics and Data Science |
About Me
I am currently a fifth-year Ph.D. student in the Department of Statistics and Data Science at Carnegie Mellon University, where I am fortunate to be advised by Dr. Jiashun Jin from CMU and Dr. Zheng Tracy Ke from Harvard University.
Before joined CMU, I received my bachelor degree in the School of the Gifted Young from USTC .
My research interests include social network analysis and hypothesis testing, as well as high dimensional statistics and machine learning.
Publications and Preprints
(* indicates alphabetical ordering authorship)-
* Jiashun Jin, Zheng Tracy Ke, Shengming Luo and Minzhe Wang. (2020)
"Estimating the number of communities by Stepwise Goodness-of-fit", Submitted
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* Jiashun Jin, Zheng Tracy Ke and Shengming Luo. (2020)
“Optimal Network Comparison by Self-Centerdizing Signed Quadrilateral”, Manuscript
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* Jiashun Jin, Zheng Tracy Ke and Shengming Luo. (2019)
"Optimal adaptivity of Signed-Polygon Statistics for Network Testing", Under revision at The Annals of Statistics (AOS)
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* Jiashun Jin, Zheng Tracy Ke, Shengming Luo. (2018)
"Network Global Testing by Counting Graphlets", International Conference on Machine Learning (ICML 2018)
- * Jiashun Jin, Zheng Tracy Ke and Shengming Luo. (2020)
"Improvements on SCORE, especially for weak signals.", Under revision at Sankhya A.
R package: [SCOREplus] -
* Jiashun Jin, Zheng Tracy Ke and Shengming Luo. (2017)
"Estimating network memberships by simplex vertex hunting", Under revision at The Annals of Statistics (AOS)
Skills
Python, R, Matlab, Git, Latex, …