Math @ Duke

Papers Published
 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. 674688, 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. 4864, 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. 11851194 [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. 41954204, 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 1·7 million adults in a populationbased screening study (China PEACE Million Persons Project),
Lancet (London, England), vol. 390 no. 10112
(December, 2017),
pp. 25492558, Elsevier BV [doi]
 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. 323334, Institute of Electrical and Electronics Engineers (IEEE) [doi]
 Zhang, T; Cheng, X; Singer, A, Marčenko–Pastur law for Tyler’s Mestimator,
Journal of Multivariate Analysis, vol. 149
(July, 2016),
pp. 114123, Elsevier BV [doi]
 Cheng, X; Shaham, U; Dror, O; Jaffe, A; Nadler, B; Chang, J; Kluger, Y, A Deep Learning Approach to Unsupervised Ensemble Learning,
Proceedings of the 33rd International Conference on Machine Learning, vol. 48
(June, 2016),
pp. 3039, PMLR
 Cheng, X; Chen, X; Mallat, S, Deep Haar scattering networks,
Information and Inference, vol. 5 no. 2
(June, 2016),
pp. 105133, Oxford University Press (OUP) [doi]
 Boumal, N; Cheng, X, Concentration of the Kirchhoff index for Erdős–Rényi graphs,
Systems & Control Letters, vol. 74
(December, 2014),
pp. 7480, Elsevier BV [doi]
 Chen, X; Cheng, X; Mallat, S, Unsupervised Deep Haar Scattering on Graphs., edited by Ghahramani, Z; Welling, M; Cortes, C; Lawrence, ND; Weinberger, KQ,
Advances in Neural Information Processing Systems 27
(2014),
pp. 17091717
 CHENG, XIUYUAN; SINGER, AMIT, The Spectrum of Random Innerproduct Kernel Matrices,
Random Matrices: Theory and Applications, vol. 02 no. 04
(October, 2013),
pp. 13500101350010, World Scientific Pub Co Pte Lt [doi]
 E, W; Zhou, X; Cheng, X, Subcritical bifurcation in spatially extended systems,
Nonlinearity, vol. 25 no. 3
(March, 2012),
pp. 761779, IOP Publishing [doi]
 Cheng, X; Lin, L; E, W; Zhang, P; Shi, AC, Nucleation of Ordered Phases in Block Copolymers,
Physical Review Letters, vol. 104 no. 14
(April, 2010), American Physical Society (APS) [doi]
 Lin, L; Cheng, X; E, W; Shi, AC; Zhang, P, A numerical method for the study of nucleation of ordered phases,
Journal of Computational Physics, vol. 229 no. 5
(March, 2010),
pp. 17971809, Elsevier BV [doi]


dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
 
Mathematics Department
Duke University, Box 90320
Durham, NC 277080320

