Cencheng Shen - RankMe

46 papers Journal 42Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explaining categorical feature interactions using graph covariance and LLMs. Appl. Netw. Sci. Cencheng Shen, Darren Edge, Jonathan Larson, Carey E. Priebe
2026	J	`jnl`	Principal Graph Encoder Embedding and Principal Community Detection. IEEE Trans. Netw. Sci. Eng. Cencheng Shen, Yuexiao Dong, Carey E. Priebe, Jonathan Larson, Ha Trinh, Youngser Park
2025	J	`jnl`	A Graph Sufficiency Perspective for Neural Networks. CoRR Cencheng Shen, Yuexiao Dong
2025	J	`jnl`	Decision Tree Embedding by Leaf-Means. CoRR Cencheng Shen, Yuexiao Dong, Carey E. Priebe
2025	J	`jnl`	Explaining Categorical Feature Interactions Using Graph Covariance and LLMs. CoRR Cencheng Shen, Darren Edge, Jonathan Larson, Carey E. Priebe
2025	J	`jnl`	Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning. CoRR Shiyu Chen, Cencheng Shen, Youngser Park, Carey E. Priebe
2025	J	`jnl`	Principal Graph Encoder Embedding and Principal Community Detection. CoRR Cencheng Shen, Yuexiao Dong, Carey E. Priebe, Jonathan Larson, Ha Trinh, Youngser Park
2025	J	`jnl`	Refined graph encoder embedding via self-training and latent community recovery. Soc. Netw. Anal. Min. Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe
2024	J	`jnl`	Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics. IEEE Trans. Netw. Sci. Eng. Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
2024	J	`jnl`	Discovering the signal subgraph: An iterative screening approach on graphs. Pattern Recognit. Lett. Cencheng Shen, Shangsi Wang, Alexandra Badea, Carey E. Priebe, Joshua T. Vogelstein
2024	—	`conf`	Edge-Parallel Graph Encoder Embedding. IPDPS (Workshops) Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
2024	J	`jnl`	Edge-Parallel Graph Encoder Embedding. CoRR Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
2024	—	`conf`	Efficient Graph Encoder Embedding for Large Sparse Graphs in Python. SAI (3) Xihan Qin, Cencheng Shen
2024	J	`jnl`	Efficient Graph Encoder Embedding for Large Sparse Graphs in Python. CoRR Xihan Qin, Cencheng Shen
2024	J	`jnl`	Encoder Embedding for General Graph and Node Classification. CoRR Cencheng Shen
2024	J	`jnl`	Encoder embedding for general graph and node classification. Appl. Netw. Sci. Cencheng Shen
2024	J	`jnl`	Fast and Scalable Multi-Kernel Encoder Classifier. CoRR Cencheng Shen
2024	J	`jnl`	Independence Testing for Temporal Data. Trans. Mach. Learn. Res. Cencheng Shen, Jaewon Chung, Ronak D. Mehta, Ting Xu, Joshua T. Vogelstein
2024	J	`jnl`	Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery. CoRR Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe
2024	J	`jnl`	Synergistic graph fusion via encoder embedding. Inf. Sci. Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
2023	J	`jnl`	Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics. CoRR Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
2023	—	`conf`	Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. ADMIT Cencheng Shen, Youngser Park, Carey E. Priebe
2023	J	`jnl`	Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. CoRR Cencheng Shen, Youngser Park, Carey E. Priebe
2023	J	`jnl`	Learning sources of variability from high-dimensional observational studies. CoRR Eric W. Bridgeford, Jaewon Chung, Brian Gilbert, Sambit Panda, Adam Li, Cencheng Shen, Alexandra Badea, Brian Caffo, Joshua T. Vogelstein
2023	J	`jnl`	One-Hot Graph Encoder Embedding. IEEE Trans. Pattern Anal. Mach. Intell. Cencheng Shen, Qizhe Wang, Carey E. Priebe
2023	J	`jnl`	Synergistic Graph Fusion via Encoder Embedding. CoRR Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
2022	J	`jnl`	A Simple Spectral Failure Mode for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
2022	J	`jnl`	The Chi-Square Test of Distance Correlation. J. Comput. Graph. Stat. Cencheng Shen, Sambit Panda, Joshua T. Vogelstein
2021	J	`jnl`	Graph Encoder Embedding. CoRR Cencheng Shen, Qizhe Wang, Carey E. Priebe
2020	J	`jnl`	A Simple Spectral Failure Mode for Graph Convolutional Networks. CoRR Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
2020	J	`jnl`	High-Dimensional Independence Testing and Maximum Marginal Correlation. CoRR Cencheng Shen
2020	J	`jnl`	Sparse Projection Oblique Randomer Forests. J. Mach. Learn. Res. 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
2020	J	`jnl`	Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption. IEEE Trans. Inf. Theory Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe
2019	J	`jnl`	A Consistent Independence Test for Multivariate Time-Series. CoRR Ronak D. Mehta, Cencheng Shen, Ting Xu, Joshua T. Vogelstein
2019	J	`jnl`	Estimating Information-Theoretic Quantities with Random Forests. CoRR Richard Guo, Cencheng Shen, Joshua T. Vogelstein
2019	J	`jnl`	Sparse Representation Classification via Screening for Graphs. CoRR Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe
2019	J	`jnl`	The Chi-Square Test of Distance Correlation. CoRR Cencheng Shen, Joshua T. Vogelstein
2019	J	`jnl`	The Exact Equivalence of Independence Testing and Two-Sample Testing. CoRR Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein
2019	J	`jnl`	mgcpy: A Comprehensive High Dimensional Independence Testing Python Package. CoRR Sambit Panda, Satish Palaniappan, Junhao Xiong, Ananya Swaminathan, Sandhya Ramachandran, Eric W. Bridgeford, Cencheng Shen, Joshua T. Vogelstein
2018	J	`jnl`	Decision Forests Induce Characteristic Kernels. CoRR Cencheng Shen, Joshua T. Vogelstein
2018	J	`jnl`	The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing. CoRR Cencheng Shen, Joshua T. Vogelstein
2017	J	`jnl`	Manifold matching using shortest-path distance and joint neighborhood selection. Pattern Recognit. Lett. Cencheng Shen, Joshua T. Vogelstein, Carey E. Priebe
2016	J	`jnl`	On the Incommensurability Phenomenon. J. Classif. Donniell E. Fishkind, Cencheng Shen, Youngser Park, Carey E. Priebe
2016	J	`jnl`	Robust Vertex Classification. IEEE Trans. Pattern Anal. Mach. Intell. Li Chen, Cencheng Shen, Joshua T. Vogelstein, Carey E. Priebe
2015	—	`conf`	Collaborative Information Retrieval Framework Based on FCA. IEEE WISA Wenyan Bao, Cencheng Shen, Yun Li
2014	J	`jnl`	Generalized canonical correlation analysis for classification. J. Multivar. Anal. Cencheng Shen, Ming Sun, Minh Tang, Carey E. Priebe