Youngser Park

Orcid: 0000-0002-3978-5533

According to our database1, Youngser Park authored at least 36 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics.
IEEE Trans. Netw. Sci. Eng., 2024

2023
Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror.
Appl. Netw. Sci., December, 2023

Semisupervised regression in latent structure networks on unknown manifolds.
Appl. Netw. Sci., December, 2023

Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference.
J. Comput. Graph. Stat., January, 2023

Distance-based positive and unlabeled learning for ranking.
Pattern Recognit., 2023

Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics.
CoRR, 2023

Dynamic network sampling for community detection.
Appl. Netw. Sci., 2023

Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection.
Proceedings of the 2nd International Conference on Algorithms, 2023

2022
Multiplex graph matching matched filters.
Appl. Netw. Sci., 2022

2021
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering.
J. Comput. Graph. Stat., 2021

Leveraging semantically similar queries for ranking via combining representations.
CoRR, 2021

Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic.
CoRR, 2021

Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes.
CoRR, 2021

An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Vertex nomination via seeded graph matching.
Stat. Anal. Data Min., 2020

Matched Filters for Noisy Induced Subgraph Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains.
NeuroImage, 2020

Learning to rank via combining representations.
CoRR, 2020

2019
Vertex Nomination, Consistent Estimation, and Adversarial Modification.
CoRR, 2019

Multiplex graph matching matched filters.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
On a 'Two Truths' Phenomenon in Spectral Graph Clustering.
CoRR, 2018

2017
Community Detection and Classification in Hierarchical Stochastic Blockmodels.
IEEE Trans. Netw. Sci. Eng., 2017

Statistical Inference on Random Dot Product Graphs: a Survey.
J. Mach. Learn. Res., 2017

2016
On the Incommensurability Phenomenon.
J. Classif., 2016

2015
Spectral clustering for divide-and-conquer graph matching.
Parallel Comput., 2015

2014
Locality Statistics for Anomaly Detection in Time Series of Graphs.
IEEE Trans. Signal Process., 2014

2013
Attribute Fusion in a Latent Process Model for Time Series of Graphs.
IEEE Trans. Signal Process., 2013

Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants.
IEEE J. Sel. Top. Signal Process., 2013

Inference in time series of graphs using locality statistics.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2010
Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs.
Comput. Stat. Data Anal., 2010

Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices.
J. Classif., 2010

2009
Analysis of Participants' Roles in Open Source Software Communities with Model-Based Clustering.
Proceedings of the 2009 International Conference on Software Engineering Research & Practice, 2009

Statistical Analysis of Hippocampus Shape Using a Modified Mann-Whitney-Wilcoxon Test.
Proceedings of the Bio-Science and Bio-Technology, 2009

2008
Semisupervised learning from dissimilarity data.
Comput. Stat. Data Anal., 2008

2007
Hippocampus Shape-Space Analysis of Clinically Depressed, High Risk, and Control Populations.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

2005
Scan Statistics on Enron Graphs.
Comput. Math. Organ. Theory, 2005


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