Xiaoran Yan, Ph.D.
Affiliations: | 2013 | Computer Science | University of New Mexico, Albuquerque, NM, United States |
Area:
Computer Science, StatisticsGoogle:
"Xiaoran Yan"Parents
Sign in to add mentor| Cristopher Moore | grad student | 2013 | Univ. of New Mexico | |
| (Model selection for stochastic block models.) | ||||
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Publications
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| Avena-Koenigsberger A, Yan X, Kolchinsky A, et al. (2019) A spectrum of routing strategies for brain networks. Plos Computational Biology. 15: e1006833 |
| Faskowitz J, Yan X, Zuo XN, et al. (2018) Weighted Stochastic Block Models of the Human Connectome across the Life Span. Scientific Reports. 8: 12997 |
| Yan X, Jeub LGS, Flammini A, et al. (2018) Weight thresholding on complex networks Physical Review E. 98 |
| Yan X, Sadler BM, Drost RJ, et al. (2017) Graph Filters and the |
| Merkurjev E, Bertozzi A, Yan X, et al. (2017) Modified Cheeger and ratio cut methods using the Ginzburg–Landau functional for classification of high-dimensional data Inverse Problems. 33: 074003 |
| Lerman K, Yan X, Wu XZ. (2016) The "Majority Illusion" in Social Networks. Plos One. 11: e0147617 |
| Yan X, Teng S, Lerman K, et al. (2016) Capturing the interplay of dynamics and networks through parameterizations of Laplacian operators Peerj Computer Science. 2: e57 |
| Gupta S, Yan X, Lerman K. (2015) Structural properties of ego networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9021: 55-64 |
| Yan X, Shalizi C, Jensen JE, et al. (2014) Model selection for degree-corrected block models. Journal of Statistical Mechanics (Online). 2014 |
| Ghosh R, Teng SH, Lerman K, et al. (2014) The interplay between dynamics and networks: Centrality, communities, and cheeger inequality Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1406-1415 |