Cencheng Shen | DeepAI

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Featured Co-authors

Li Chen
141 publications
Qing Wang
110 publications
Carey E. Priebe
102 publications
Joshua T. Vogelstein
61 publications
Tianyi Chen
60 publications
Ming Sun
52 publications
Minh Tang
38 publications
Youngser Park
28 publications
Mauro Maggioni
26 publications
Jonathan Larson
13 publications
Carey Priebe
12 publications

∙ 07/26/2023

Learning sources of variability from high-dimensional observational studies

Causal inference studies whether the presence of a variable influences a...

0 Eric W. Bridgeford, et al. ∙

∙ 05/03/2023

Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics

The analysis of large-scale time-series network data, such as social med...

0 Cencheng Shen, et al. ∙

∙ 03/31/2023

Synergistic Graph Fusion via Encoder Embedding

In this paper, we introduce a novel approach to multi-graph embedding ca...

0 Cencheng Shen, et al. ∙

∙ 01/18/2023

Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection

In this paper we propose a novel and computationally efficient method to...

0 Cencheng Shen, et al. ∙

∙ 09/27/2021

Graph Encoder Embedding

In this paper we propose a lightning fast graph embedding method called ...

57 Cencheng Shen, et al. ∙

∙ 10/25/2020

A Simple Spectral Failure Mode for Graph Convolutional Networks

We present a simple generative model in which spectral graph embedding f...

2 Carey E. Priebe, et al. ∙

∙ 01/04/2020

High-Dimensional Independence Testing and Maximum Marginal Correlation

A number of universally consistent dependence measures have been recentl...

0 Cencheng Shen, et al. ∙

∙ 12/27/2019

The Chi-Square Test of Distance Correlation

Distance correlation has gained much recent attention in the statistics ...

37 Cencheng Shen, et al. ∙

∙ 10/20/2019

The Exact Equivalence of Independence Testing and Two-Sample Testing

Testing independence and testing equality of distributions are two tight...

0 Cencheng Shen, et al. ∙

∙ 08/18/2019

A Consistent Independence Test for Multivariate Time-Series

A fundamental problem in statistical data analysis is testing whether tw...

1 Ronak Mehta, et al. ∙

∙ 07/03/2019

hyppo: A Comprehensive Multivariate Hypothesis Testing Python Package

We introduce hyppo, a unified library for performing multivariate hypoth...

1 Sambit Panda, et al. ∙

∙ 07/03/2019

mgcpy: A Comprehensive High Dimensional Independence Testing Python Package

With the increase in the amount of data in many fields, a method to cons...

1 Sambit Panda, et al. ∙

∙ 06/30/2019

Estimating Information-Theoretic Quantities with Random Forests

Information-theoretic quantities, such as mutual information and conditi...

1 Richard Guo, et al. ∙

∙ 06/09/2019

Graph Independence Testing

Identifying statistically significant dependency between variables is a ...

0 Junhao Xiong, et al. ∙

∙ 06/04/2019

Sparse Representation Classification via Screening for Graphs

The sparse representation classifier (SRC) is shown to work well for ima...

0 Cencheng Shen, et al. ∙

∙ 11/30/2018

Decision Forests Induce Characteristic Kernels

Decision forests are popular tools for classification and regression. Th...

0 Cencheng Shen, et al. ∙

∙ 06/14/2018

The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing

Distance-based methods, also called "energy statistics", are leading met...

0 Cencheng Shen, et al. ∙

∙ 01/23/2018

Signal Subgraph Estimation Via Vertex Screening

Graph classification and regression have wide applications in a variety ...

0 Shangsi Wang, et al. ∙

∙ 10/26/2017

From Distance Correlation to Multiscale Generalized Correlation

Understanding and developing a correlation measure that can detect gener...

0 Cencheng Shen, et al. ∙

∙ 09/16/2016

Discovering Relationships and their Structures Across Disparate Data Modalities

Determining whether certain properties are related to other properties i...

0 Cencheng Shen, et al. ∙

∙ 02/04/2015

Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption

The sparse representation classifier (SRC) proposed in Wright et al. (20...

0 Cencheng Shen, et al. ∙

∙ 12/12/2014

Manifold Matching using Shortest-Path Distance and Joint Neighborhood Selection

Matching datasets of multiple modalities has become an important task in...

0 Cencheng Shen, et al. ∙

∙ 11/23/2013

Robust Vertex Classification

For random graphs distributed according to stochastic blockmodels, a spe...

0 Li Chen, et al. ∙

∙ 04/30/2013

Generalized Canonical Correlation Analysis for Classification

For multiple multivariate data sets, we derive conditions under which Ge...

0 Cencheng Shen, et al. ∙

∙ 01/09/2013

On the Incommensurability Phenomenon

Suppose that two large, multi-dimensional data sets are each noisy measu...

0 Donniell E. Fishkind, et al. ∙

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