Cencheng Shen
Cited by
Cited by
From distance correlation to multiscale graph correlation
C Shen, CE Priebe, JT Vogelstein
Journal of the American Statistical Association 115 (529), 280-291, 2020
The chi-square test of distance correlation
C Shen, S Panda, JT Vogelstein
Journal of Computational and Graphical Statistics 31 (1), 254-262, 2022
Sparse projection oblique randomer forests
TM Tomita, J Browne, C Shen, J Chung, JL Patsolic, B Falk, CE Priebe, ...
Journal of machine learning research 21 (104), 1-39, 2020
The exact equivalence of distance and kernel methods in hypothesis testing
C Shen, JT Vogelstein
AStA Advances in Statistical Analysis 105, 385-403, 2021
Generalized canonical correlation analysis for classification
C Shen, M Sun, M Tang, CE Priebe
Journal of Multivariate Analysis 130, 310-322, 2014
Discovering and deciphering relationships across disparate data modalities
JT Vogelstein, EW Bridgeford, Q Wang, CE Priebe, M Maggioni, C Shen
eLife 8, e41690, 2019
Network dependence testing via diffusion maps and distance-based correlations
Y Lee, C Shen, CE Priebe, JT Vogelstein
Biometrika 106 (4), 857-873, 2019
hyppo: A multivariate hypothesis testing Python package
S Panda, S Palaniappan, J Xiong, EW Bridgeford, R Mehta, C Shen, ...
arXiv preprint arXiv:1907.02088, 2019
Robust vertex classification
L Chen, C Shen, JT Vogelstein, CE Priebe
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (3), 578-590, 2016
Manifold matching using shortest-path distance and joint neighborhood selection
C Shen, JT Vogelstein, CE Priebe
Pattern Recognition Letters 92, 41-48, 2017
One-Hot Graph Encoder Embedding
C Shen, Q Wang, CE Priebe
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7933 …, 2023
Sparse representation classification beyond ℓ1 minimization and the subspace assumption
C Shen, L Chen, Y Dong, CE Priebe
IEEE Transactions on Information Theory 66 (8), 5061-5071, 2020
High-dimensional and universally consistent k-sample tests
S Panda, C Shen, R Perry, J Zorn, A Lutz, CE Priebe, JT Vogelstein
arXiv preprint arXiv:1910.08883, 2019
Discovering the signal subgraph: An iterative screening approach on graphs
C Shen, S Wang, A Badea, CE Priebe, JT Vogelstein
Pattern Recognition Letters 184, 97-102, 2024
Estimating information-theoretic quantities with uncertainty forests
R Guo, R Mehta, J Arroyo, H Helm, C Shen, JT Vogelstein
arXiv, arXiv: 1907.00325, 2019
Independence testing for temporal data
C Shen, J Chung, R Mehta, T Xu, JT Vogelstein
Transactions on Machine Learning Research, …, 2024
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection
C Shen, Y Park, CE Priebe
2023 International Conference on Algorithms, Data Mining, and Information …, 2023
Synergistic graph fusion via encoder embedding
C Shen, C Priebe, J Larson, H Trinh
Information Sciences 678, 120912, 2024
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics
C Shen, J Larson, H Trinh, X Qin, Y Park, CE Priebe
IEEE Transactions on Network Science and Engineering 11 (2), 2100 - 2109, 2024
On the incommensurability phenomenon
DE Fishkind, C Shen, Y Park, CE Priebe
Journal of Classification 33, 185-209, 2016
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