Cencheng Shen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 35

Top Topics

Spectral Embedding

High Dimensional

Canonical Correlation Analysis

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Pattern Recognit. Lett.

IEEE Trans. Inf. Theory

Publications

Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
Edge-Parallel Graph Encoder Embedding. IPDPS (Workshops) (2024)
Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics. IEEE Trans. Netw. Sci. Eng. 11 (2) (2024)
Cencheng Shen
Encoder Embedding for General Graph and Node Classification. CoRR (2024)
Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
Edge-Parallel Graph Encoder Embedding. CoRR (2024)
Cencheng Shen
Fast and Scalable Multi-Kernel Encoder Classifier. CoRR (2024)
Cencheng Shen, Jaewon Chung, Ronak D. Mehta, Ting Xu, Joshua T. Vogelstein
Independence Testing for Temporal Data. Trans. Mach. Learn. Res. 2024 (2024)
Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery. CoRR (2024)
Cencheng Shen, Shangsi Wang, Alexandra Badea, Carey E. Priebe, Joshua T. Vogelstein
Discovering the signal subgraph: An iterative screening approach on graphs. Pattern Recognit. Lett. 184 (2024)
Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
Synergistic graph fusion via encoder embedding. Inf. Sci. 678 (2024)
Xihan Qin, Cencheng Shen
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python. CoRR (2024)
Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
Synergistic Graph Fusion via Encoder Embedding. CoRR (2023)
Cencheng Shen, Youngser Park, Carey E. Priebe
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. CoRR (2023)
Cencheng Shen, Qizhe Wang, Carey E. Priebe
One-Hot Graph Encoder Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Cencheng Shen, Youngser Park, Carey E. Priebe
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. ADMIT (2023)
Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics. CoRR (2023)
Eric W. Bridgeford, Jaewon Chung, Brian Gilbert, Sambit Panda, Adam Li, Cencheng Shen, Alexandra Badea, Brian Caffo, Joshua T. Vogelstein
Learning sources of variability from high-dimensional observational studies. CoRR (2023)
Cencheng Shen, Sambit Panda, Joshua T. Vogelstein
The Chi-Square Test of Distance Correlation. J. Comput. Graph. Stat. 31 (1) (2022)
Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
A Simple Spectral Failure Mode for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Cencheng Shen, Qizhe Wang, Carey E. Priebe
Graph Encoder Embedding. CoRR (2021)
Cencheng Shen
High-Dimensional Independence Testing and Maximum Marginal Correlation. CoRR (2020)
Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
A Simple Spectral Failure Mode for Graph Convolutional Networks. CoRR (2020)
Tyler M. Tomita, James Browne, Cencheng Shen, Jaewon Chung, Jesse Patsolic, Benjamin Falk, Carey E. Priebe, Jason Yim, Randal C. Burns, Mauro Maggioni, Joshua T. Vogelstein
Sparse Projection Oblique Randomer Forests. J. Mach. Learn. Res. 21 (2020)
Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe
Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption. IEEE Trans. Inf. Theory 66 (8) (2020)
Ronak D. Mehta, Cencheng Shen, Ting Xu, Joshua T. Vogelstein
A Consistent Independence Test for Multivariate Time-Series. CoRR (2019)
Cencheng Shen, Joshua T. Vogelstein
The Chi-Square Test of Distance Correlation. CoRR (2019)
Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe
Sparse Representation Classification via Screening for Graphs. CoRR (2019)
Richard Guo, Cencheng Shen, Joshua T. Vogelstein
Estimating Information-Theoretic Quantities with Random Forests. CoRR (2019)
Sambit Panda, Satish Palaniappan, Junhao Xiong, Ananya Swaminathan, Sandhya Ramachandran, Eric W. Bridgeford, Cencheng Shen, Joshua T. Vogelstein
mgcpy: A Comprehensive High Dimensional Independence Testing Python Package. CoRR (2019)
Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein
The Exact Equivalence of Independence Testing and Two-Sample Testing. CoRR (2019)
Cencheng Shen, Joshua T. Vogelstein
Decision Forests Induce Characteristic Kernels. CoRR (2018)
Cencheng Shen, Joshua T. Vogelstein
The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing. CoRR (2018)
Cencheng Shen, Joshua T. Vogelstein, Carey E. Priebe
Manifold matching using shortest-path distance and joint neighborhood selection. Pattern Recognit. Lett. 92 (2017)
Donniell E. Fishkind, Cencheng Shen, Youngser Park, Carey E. Priebe
On the Incommensurability Phenomenon. J. Classif. 33 (2) (2016)
Li Chen, Cencheng Shen, Joshua T. Vogelstein, Carey E. Priebe
Robust Vertex Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38 (3) (2016)
Wenyan Bao, Cencheng Shen, Yun Li
Collaborative Information Retrieval Framework Based on FCA. IEEE WISA (2015)
Cencheng Shen, Ming Sun, Minh Tang, Carey E. Priebe
Generalized canonical correlation analysis for classification. J. Multivar. Anal. 130 (2014)