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Math @ Duke



Xiuyuan Cheng, Assistant 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.

Contact Info:
Office Location:  293 Physics
Office Phone:  (919) 600-2825
Email Address: send me a message
Web Page:

Teaching (Spring 2019):

  • MATH 532.01, BASIC ANALYSIS II Synopsis
    Physics 205, MW 03:05 PM-04:20 PM

Ph.D.Princeton University2013
Recent Publications   (More Publications)

  1. Cheng, X; Rachh, M; Steinerberger, S, On the diffusion geometry of graph Laplacians and applications, Applied and Computational Harmonic Analysis (April, 2018), Elsevier BV [doi]
  2. Cheng, X; Mishne, G; Steinerberger, S, The geometry of nodal sets and outlier detection, Journal of Number Theory, vol. 185 (April, 2018), pp. 48-64, Elsevier BV [doi]
  3. Qiu, Q; Cheng, X; Calderbank, AR; Sapiro, G, DCFNet: Deep Neural Network with Decomposed Convolutional Filters., edited by Dy, JG; Krause, A, Icml, vol. 80 (2018), pp. 4195-4204,
  4. Lu, J; Lu, Y; Wang, X; Li, X; Linderman, GC; Wu, C; Cheng, X; Mu, L; Zhang, H; Liu, J; Su, M; Zhao, H; Spatz, ES; Spertus, JA; Masoudi, FA; Krumholz, HM; Jiang, L, Prevalence, awareness, treatment, and control of hypertension in China: data from 1ยท7 million adults in a population-based screening study (China PEACE Million Persons Project), Lancet (London, England), vol. 390 no. 10112 (December, 2017), pp. 2549-2558, Elsevier BV [doi]
  5. Pragier, G; Greenberg, I; Cheng, X; Shkolnisky, Y, A Graph Partitioning Approach to Simultaneous Angular Reconstitution, Ieee Transactions on Computational Imaging, vol. 2 no. 3 (September, 2016), pp. 323-334, Institute of Electrical and Electronics Engineers (IEEE) [doi]
Recent Grant Support

  • CDS&E: Structure-aware Representation Learning using Deep Networks, National Science Foundation, DMS-NSF-1820827-01, 2018/07-2021/06.      
  • Collaborative Research: Geometric Analysis and Computation of Generative Models, National Science Foundation, DMS-1818945, 2018/07-2021/06. 
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320