2 citations · 2 across the 6 of their papers we have counts for
6 papers
Local spectral clustering for heterogeneous clustering structures
Yuanxing Chen, Qingzhao Zhang, Yuhong Yang
Classical clustering methods typically assume that all informative features support a single latent partition of the observations. This assumption can be overly restrictive for mod…
Fused Spatial Latent Block Models for Co-Clustering
Biao Cai, Yuanxing Chen, Kuangnan Fang +1
Spatial transcriptomics is a rapidly growing technique that captures gene expression together with spatial coordinates in intact tissue sections, enabling in situ mapping of transc…
Cross-Validation in Bipartite Networks
Bokai Yang, Yuanxing Chen, Yuhong Yang
Bipartite networks, which encode interactions between two distinct types of entities, arise widely in applications and exhibit inherent asymmetry across node sets. Despite a growin…
Federated Online Learning for Heterogeneous Multisource Streaming Data
Jingmao Li, Yuanxing Chen, Shuangge Ma +1
Federated learning has emerged as an essential paradigm for distributed multi-source data analysis under privacy concerns. Most existing federated learning methods focus on the ``s…
Penalized Network Cross-Validation for Nested Models by Edge-Sampling
Bokai Yang, Yuanxing Chen, Yuhong Yang
In the network literature, a wide range of statistical models has been proposed to exploit structural patterns in the data. Therefore, model selection between different models is a…
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis
Yuanxing Chen, Qingzhao Zhang, Shuangge Ma +1
In diverse fields ranging from finance to omics, it is increasingly common that data is distributed and with multiple individual sources (referred to as ``clients'' in some studies…