2 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning
Xiang Zhang, Qiao Wang
We consider the problem of spectral clustering under group fairness constraints, where samples from each sensitive group are approximately proportionally represented in each cluste…
Graph Learning Across Data Silos
Xiang Zhang, Qiao Wang
We consider the problem of inferring graph topology from smooth graph signals in a novel but practical scenario where data are located in distributed clients and prohibited from le…
Time-varying Graph Learning Under Structured Temporal Priors
Xiang Zhang, Qiao Wang
This paper endeavors to learn time-varying graphs by using structured temporal priors that assume underlying relations between arbitrary two graphs in the graph sequence. Different…
Robust Graph Learning Under Wasserstein Uncertainty
Xiang Zhang, Yinfei Xu, Qinghe Liu +3
Graphs are playing a crucial role in different fields since they are powerful tools to unveil intrinsic relationships among signals. In many scenarios, an accurate graph structure…