My name is Yuchen Xu. I just got my Ph.D from the Department of Statistics & Data Science at Cornell University. Advised by Professor David S. Matteson, I am actively engaged in a number of funded grant projects.
My current research interests are time series analysis, image analysis, and multivariate analysis, such as dimension reduction through matrix diagonalization and/or tensor decomposition. I am also interested in science-integrated applications like material science, medical data analysis, signal processing, and behavior science.
Please find my CV here.
Xu, Y., Düker, M. C., & Matteson, D. S. (2023). Testing Simultaneous Diagonalizability. Journal of the American Statistical Association. doi: 10.1080/01621459.2023.2202435.
Manzorro, R., Xu, Y., Vincent, J., Rivera, R., Matteson, D., & Crozier, P. (2022). Exploring Blob Detection to Determine Atomic Column Positions and Intensities in Time-Resolved TEM Images with Ultra-Low Signal-to-Noise. Microscopy and Microanalysis, 28 (6), 1917-1930. doi:10.1017/S1431927622000356.
Thomas, A. M., Crozier, P. A., Xu, Y., & Matteson, D. S. (2023). Feature Detection and Hypothesis Testing for Extremely Noisy Nanoparticle Images using Topological Data Analysis. Techonometrics. doi: 10.1080/00401706.2023.2203744.
Xu, Y., Thomas, A. M., Crozier, P. A., & Matteson, D. S. (2023). Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation. arXiv preprint arXiv:2302.00816.
First-Place Winner, Student Paper
Competition Case Studies and Applications track, The Statistical Methods
in Imaging Conference 2023, May 2023.
Title: Dynamic Atomic Column Detection in
Transmission Electron Microscopy Videos via Ridge
Estimation.
Best Student Poster Award, IEEE Western
New York Image and Signal Processing Workshop (WNYISPW), November
2022.
Title: Non-parametric ridge recovery of
TEM image series given temporal parameterization.
The Most Outstanding Students Awards Bronze
Medal, UPSTAT Conference, April 2021.
Title: Recording atomic column positions
and intensities via Blob Detection in noise-degraded TEM
frames.