1 citations · 1 across the 5 of their papers we have counts for
5 papers
Pseudo-Likelihood Ratio Screening based on Network Data with Applications
Wei Hu, Danyang Huang, Bo Zhang
Social network platforms today generate vast amounts of data, including network structures and a large number of user-defined tags, which reflect users' interests. The dimensionali…
Distributed Pseudo-Likelihood Method for Community Detection in Large-Scale Networks
Jiayi Deng, Danyang Huang, Bo Zhang
This paper proposes a distributed pseudo-likelihood method (DPL) to conveniently identify the community structure of large-scale networks. Specifically, we first propose a block-wi…
Subsampling-Based Modified Bayesian Information Criterion for Large-Scale Stochastic Block Models
Jiayi Deng, Danyang Huang, Xiangyu Chang +1
Identifying the number of communities is a fundamental problem in community detection, which has received increasing attention recently. However, rapid advances in technology have…
A Wasserstein distance-based spectral clustering method for transaction data analysis
Yingqiu Zhu, Danyang Huang, Bo Zhang
With the rapid development of online payment platforms, it is now possible to record massive transaction data. Clustering on transaction data significantly contributes to analyzing…
Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation
Yingqiu Zhu, Yu Chen, Danyang Huang +2
In deep learning tasks, the learning rate determines the update step size in each iteration, which plays a critical role in gradient-based optimization. However, the determination…