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09/10/2023
Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch
Unsupervised contrastive learning methods have recently seen significant...
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08/24/2023
A Strength and Sparsity Preserving Algorithm for Generating Weighted, Directed Networks with Predetermined Assortativity
Degree-preserving rewiring is a widely used technique for generating unw...
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05/09/2023
Variational Bayesian Inference for Bipartite Mixed-membership Stochastic Block Model with Applications to Collaborative Filtering
Motivated by the connections between collaborative filtering and network...
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01/31/2023
Generating General Preferential Attachment Networks with R Package wdnet
Preferential attachment (PA) network models have a wide range of applica...
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01/10/2022
An Efficient Algorithm for Generating Directed Networks with Predetermined Assortativity Measures
Assortativity coefficients are important metrics to analyze both directe...
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04/06/2021
PageRank centrality and algorithms for weighted, directed networks with applications to World Input-Output Tables
PageRank (PR) is a fundamental tool for assessing the relative importanc...
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04/06/2021
Multi-hierarchical Convolutional Network for Efficient Remote Photoplethysmograph Signal and Heart Rate Estimation from Face Video Clips
Heart beat rhythm and heart rate (HR) are important physiological parame...
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02/24/2021
Several topological indices of random caterpillars
In chemical graph theory, caterpillar trees have been an appealing model...
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02/24/2021
Regional and Sectoral Structures and Their Dynamics of Chinese Economy: A Network Perspective from Multi-Regional Input-Output Tables
A multi-regional input-output table (MRIOT) containing the transactions ...
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01/13/2021
Assortativity measures for weighted and directed networks
Assortativity measures the tendency of a vertex in a network being conne...
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11/29/2020
Clustering US States by Time Series of COVID-19 New Case Counts with Non-negative Matrix Factorization
The spreading pattern of COVID-19 differ a lot across the US states unde...
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10/19/2020
A Unified Model for Recommendation with Selective Neighborhood Modeling
Neighborhood-based recommenders are a major class of Collaborative Filte...
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09/17/2020
Functional data analysis: An application to COVID-19 data in the United States
The COVID-19 pandemic so far has caused huge negative impacts on differe...
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09/05/2020
Visual Object Tracking by Segmentation with Graph Convolutional Network
Segmentation-based tracking has been actively studied in computer vision...
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06/12/2018
Distributions in the constant-differentials Pólya process
We study a class of unbalanced constant-differentials Pólya processes on...
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05/15/2018