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: | (919) 600-2825 |

Email Address: | |

Web Page: | https://services.math.duke.edu/~xiuyuanc/ |

**Teaching (Fall 2019):**

- MATH 561.01,
*NUMERICAL LINEAR ALGEBRA*Synopsis- Bio Sci 155, TuTh 01:25 PM-02:40 PM

**Education:**Ph.D. Princeton University 2013

**Recent Publications**- Cheng, X; Rachh, M; Steinerberger, S,
*On the diffusion geometry of graph Laplacians and applications*, Applied and Computational Harmonic Analysis, vol. 46 no. 3 (May, 2019), pp. 674-688, Elsevier BV [doi] - 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] - Yan, B; Sarkar, P; Cheng, X,
*Provable estimation of the number of blocks in block models*, International Conference on Artificial Intelligence and Statistics, Aistats 2018 (January, 2018), pp. 1185-1194 [abs] - 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, PMLR - 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]

- Cheng, X; Rachh, M; Steinerberger, S,

**Recent Grant Support***Efficient Methods for Calibration, Clustering, Visualization and Imputation of Large scRNA-seq Data*, Yale University, 2019/05-2023/01.*Sloan Foundation Fellowship for Xiuyuan Cheng in Mathematics*, Alfred P. Sloan Foundation, 2019/09-2021/09.*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.