52 citations · 91 across the 5 of their papers we have counts for
7 papers
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition
Bing-Yi Jing, Ting Li, Zhongyuan Lyu +1
We study the problem of community detection in multi-layer networks, where pairs of nodes can be related in multiple modalities. We introduce a general framework, i.e., mixture mul…
Measuring the Clustering Strength of a Network via the Normalized Clustering Coefficient
Ting Li, Xianshi Yu, Bing-Yi Jing
In this paper, we propose a novel statistic of networks, the normalized clustering coefficient, which is a modified version of the clustering coefficient that is robust to network…
Semi-supervised learning in unbalanced and heterogeneous networks
Ting Li, Ningchen Ying, Xianshi Yu +1
Community detection was a hot topic on network analysis, where the main aim is to perform unsupervised learning or clustering in networks. Recently, semi-supervised learning has re…
Adaptive Scaling
Ting Li, Bingyi Jing, Ningchen Ying +1
Preprocessing data is an important step before any data analysis. In this paper, we focus on one particular aspect, namely scaling or normalization. We analyze various scaling meth…
Testing for pure-jump processes for high-frequency data
Xin-Bing Kong, Zhi Liu, Bing-Yi Jing
Pure-jump processes have been increasingly popular in modeling high-frequency financial data, partially due to their versatility and flexibility. In the meantime, several statistic…
Nonparametric estimate of spectral density functions of sample covariance matrices: A first step
Bing-Yi Jing, Guangming Pan, Qi-Man Shao +1
The density function of the limiting spectral distribution of general sample covariance matrices is usually unknown. We propose to use kernel estimators which are proved to be cons…