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2020 – today
- 2024
[j14]Cencheng Shen:
Encoder embedding for general graph and node classification. Appl. Netw. Sci. 9(1): 66 (2024)- [j13]Cencheng Shen
, Carey E. Priebe, Jonathan Larson, Ha Trinh:
Synergistic graph fusion via encoder embedding. Inf. Sci. 678: 120912 (2024) - [j12]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: 97-102 (2024) - [j11]Cencheng Shen, Jaewon Chung, Ronak D. Mehta, Ting Xu, Joshua T. Vogelstein:
Independence Testing for Temporal Data. Trans. Mach. Learn. Res. 2024 (2024) - [j10]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): 2100-2109 (2024) - [c3]Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns:
Edge-Parallel Graph Encoder Embedding. IPDPS (Workshops) 2024: 482-485 - [i20]Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns:
Edge-Parallel Graph Encoder Embedding. CoRR abs/2402.04403 (2024) - [i19]Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe:
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery. CoRR abs/2405.12797 (2024) - [i18]Cencheng Shen:
Encoder Embedding for General Graph and Node Classification. CoRR abs/2405.15473 (2024) - [i17]Cencheng Shen:
Fast and Scalable Multi-Kernel Encoder Classifier. CoRR abs/2406.02189 (2024) - [i16]Xihan Qin, Cencheng Shen:
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python. CoRR abs/2406.03726 (2024) - 2023
- [j9]Cencheng Shen, Qizhe Wang, Carey E. Priebe:
One-Hot Graph Encoder Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7933-7938 (2023) - [c2]Cencheng Shen, Youngser Park, Carey E. Priebe:
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. ADMIT 2023: 13-18 - [i15]Cencheng Shen, Youngser Park, Carey E. Priebe:
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. CoRR abs/2301.11290 (2023) - [i14]Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh:
Synergistic Graph Fusion via Encoder Embedding. CoRR abs/2303.18051 (2023) - [i13]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 abs/2305.02381 (2023) - [i12]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 abs/2307.13868 (2023) - 2022
- [j8]Cencheng Shen, Sambit Panda, Joshua T. Vogelstein:
The Chi-Square Test of Distance Correlation. J. Comput. Graph. Stat. 31(1): 254-262 (2022) - [j7]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): 8689-8693 (2022) - 2021
- [i11]Cencheng Shen, Qizhe Wang, Carey E. Priebe:
Graph Encoder Embedding. CoRR abs/2109.13098 (2021) - 2020
- [j6]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: 104:1-104:39 (2020) - [j5]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): 5061-5071 (2020) - [i10]Cencheng Shen:
High-Dimensional Independence Testing and Maximum Marginal Correlation. CoRR abs/2001.01095 (2020) - [i9]Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen:
A Simple Spectral Failure Mode for Graph Convolutional Networks. CoRR abs/2010.13152 (2020)
2010 – 2019
- 2019
- [i8]Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe:
Sparse Representation Classification via Screening for Graphs. CoRR abs/1906.01601 (2019) - [i7]Richard Guo, Cencheng Shen, Joshua T. Vogelstein:
Estimating Information-Theoretic Quantities with Random Forests. CoRR abs/1907.00325 (2019) - [i6]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 abs/1907.02088 (2019) - [i5]Ronak D. Mehta, Cencheng Shen, Ting Xu, Joshua T. Vogelstein:
A Consistent Independence Test for Multivariate Time-Series. CoRR abs/1908.06486 (2019) - [i4]Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein:
The Exact Equivalence of Independence Testing and Two-Sample Testing. CoRR abs/1910.08883 (2019) - [i3]Cencheng Shen, Joshua T. Vogelstein:
The Chi-Square Test of Distance Correlation. CoRR abs/1912.12150 (2019) - 2018
- [i2]Cencheng Shen, Joshua T. Vogelstein:
The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing. CoRR abs/1806.05514 (2018) - [i1]Cencheng Shen, Joshua T. Vogelstein:
Decision Forests Induce Characteristic Kernels. CoRR abs/1812.00029 (2018) - 2017
- [j4]Cencheng Shen, Joshua T. Vogelstein, Carey E. Priebe:
Manifold matching using shortest-path distance and joint neighborhood selection. Pattern Recognit. Lett. 92: 41-48 (2017) - 2016
- [j3]Donniell E. Fishkind, Cencheng Shen, Youngser Park, Carey E. Priebe:
On the Incommensurability Phenomenon. J. Classif. 33(2): 185-209 (2016) - [j2]Li Chen, Cencheng Shen, Joshua T. Vogelstein, Carey E. Priebe:
Robust Vertex Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 578-590 (2016) - 2015
- [c1]Wenyan Bao, Cencheng Shen, Yun Li:
Collaborative Information Retrieval Framework Based on FCA. IEEE WISA 2015: 175-178 - 2014
- [j1]Cencheng Shen, Ming Sun, Minh Tang, Carey E. Priebe:
Generalized canonical correlation analysis for classification. J. Multivar. Anal. 130: 310-322 (2014)
Coauthor Index
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