Xiuyuan Cheng, Associate Professor

Xiuyuan Cheng

As an applied analyst, I develop theoretical and computational techniques to solve problems in high-dimensional statistics, signal processing and machine learning.

Office Location:  120 Science Drive, 293 Physics Building, Durham, NC 27708
Office Phone:  +1 919 600 2825
Email Address: send me a message
Web Page:  https://services.math.duke.edu/~xiuyuanc/

Teaching (Spring 2024):

Teaching (Fall 2024):

Education:

Ph.D.Princeton University2013
Recent Publications

  1. Repasky, M; Cheng, X; Xie, Y, Neural Stein Critics with Staged L2-Regularization, IEEE Transactions on Information Theory, vol. 69 no. 11 (November, 2023), pp. 7246-7275 [doi]  [abs]
  2. Landa, B; Cheng, X, Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling, SIAM Journal on Mathematics of Data Science, vol. 5 no. 3 (September, 2023), pp. 589-614, Society for Industrial & Applied Mathematics (SIAM) [doi]
  3. Lee, J; Xie, Y; Cheng, X, Training Neural Networks for Sequential Change-Point Detection, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2023-June (January, 2023), ISBN 9781728163277 [doi]  [abs]
  4. Cheng, X; Wu, N, Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation, Applied and Computational Harmonic Analysis, vol. 61 (November, 2022), pp. 132-190 [doi]  [abs]
  5. Tan, Y; Zhang, Y; Cheng, X; Zhou, X-H, Statistical inference using GLEaM model with spatial heterogeneity and correlation between regions., Scientific reports, vol. 12 no. 1 (October, 2022), pp. 16630 [doi]  [abs]
Recent Grant Support