Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Cencheng Shen

A Simple Spectral Failure Mode for Graph Convolutional Networks


Oct 27, 2020
Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen


  Access Paper or Ask Questions

The Chi-Square Test of Distance Correlation


Jan 22, 2020
Cencheng Shen, Joshua T. Vogelstein

* 12 pages + 8 pages appendix, 3 figures 

  Access Paper or Ask Questions

High-Dimensional Independence Testing and Maximum Marginal Correlation


Jan 04, 2020
Cencheng Shen

* 20 pages, 5 page appendix, 2 figures 

  Access Paper or Ask Questions

The Exact Equivalence of Independence Testing and Two-Sample Testing


Oct 20, 2019
Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein

* 27 pages main + 7 pages appendix 

  Access Paper or Ask Questions

A Consistent Independence Test for Multivariate Time-Series


Aug 18, 2019
Ronak Mehta, Cencheng Shen, Ting Xu, Joghua T. Vogelstein

* 21 pages, 6 figures 

  Access Paper or Ask Questions

mgcpy: A Comprehensive High Dimensional Independence Testing Python Package


Jul 18, 2019
Sambit Panda, Satish Palaniappan, Junhao Xiong, Ananya Swaminathan, Sandhya Ramachandran, Eric W. Bridgeford, Cencheng Shen, Joshua T. Vogelstein

* 15 pages, 5 figures 

  Access Paper or Ask Questions

Estimating Information-Theoretic Quantities with Random Forests


Jul 03, 2019
Richard Guo, Cencheng Shen, Joshua T. Vogelstein


  Access Paper or Ask Questions

Sparse Representation Classification via Screening for Graphs


Jun 04, 2019
Cencheng Shen, Li Chen, Yuexiao Dong, Carey Priebe

* Accepted at Learning and Reasoning with Graph-Structured Representations in International Conference on Machine Learning (ICML) 2019 

  Access Paper or Ask Questions

Decision Forests Induce Characteristic Kernels


Nov 30, 2018
Cencheng Shen, Joshua T. Vogelstein

* 9 pages, 1 figure, 1 table 

  Access Paper or Ask Questions

Random Projection Forests


Oct 10, 2018
Tyler M. Tomita, James Browne, Cencheng Shen, Jesse L. Patsolic, Jason Yim, Carey E. Priebe, Randal Burns, Mauro Maggioni, Joshua T. Vogelstein

* 46 pages; submitted to Journal of Machine Learning Research for review on 09/26/2018 

  Access Paper or Ask Questions

From Distance Correlation to Multiscale Graph Correlation


Sep 30, 2018
Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein

* 39 pages + Appendix 22 pages, 6 figures 

  Access Paper or Ask Questions

Discovering and Deciphering Relationships Across Disparate Data Modalities


Sep 25, 2018
Cencheng Shen, Qing Wang, Eric Bridgeford, Carey E. Priebe, Mauro Maggioni, Joshua T. Vogelstein


  Access Paper or Ask Questions

The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing


Jul 09, 2018
Cencheng Shen, Joshua T. Vogelstein

* 30 pages 

  Access Paper or Ask Questions

Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption


Dec 28, 2017
Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe

* 8 pages, 4 figures, 2 tables 

  Access Paper or Ask Questions

Manifold Matching using Shortest-Path Distance and Joint Neighborhood Selection


Apr 11, 2017
Cencheng Shen, Joshua T. Vogelstein, Carey E. Priebe

* Pattern Recognition Letters, vol. 92, pp. 41-48, 2017 
* 13 pages, 8 figures, 2 tables 

  Access Paper or Ask Questions

Robust Vertex Classification


Apr 22, 2015
Li Chen, Cencheng Shen, Joshua Vogelstein, Carey Priebe

* 18 pages, 13 figures 

  Access Paper or Ask Questions

On the Incommensurability Phenomenon


Feb 06, 2015
Donniell E. Fishkind, Cencheng Shen, Youngser Park, Carey E. Priebe


  Access Paper or Ask Questions

Generalized Canonical Correlation Analysis for Classification


Jun 26, 2014
Cencheng Shen, Ming Sun, Minh Tang, Carey E. Priebe

* Journal of Multivariate Analysis 130 (2014) 310-322 
* 28 pages, 3 figures, 7 tables 

  Access Paper or Ask Questions