13 citations · 22 across the 5 of their papers we have counts for
5 papers
Graph Coarsening with Neural Networks
Chen Cai, Dingkang Wang, Yusu Wang
As large-scale graphs become increasingly more prevalent, it poses significant computational challenges to process, extract and analyze large graph data. Graph coarsening is one po…
Ordinally Consensus Subset over Multiple Metrics
Dingkang Wang, Yusu Wang
In this paper, we propose to study the following maximum ordinal consensus problem: Suppose we are given a metric system (M, X), which contains k metrics M = {ρ_1,..., ρ_k} defined…
Detection and skeletonization of single neurons and tracer injections using topological methods
Dingkang Wang, Lucas Magee, Bing-Xing Huo +8
Neuroscientific data analysis has traditionally relied on linear algebra and stochastic process theory. However, the tree-like shapes of neurons cannot be described easily as point…
An Improved Cost Function for Hierarchical Cluster Trees
Dingkang Wang, Yusu Wang
Hierarchical clustering has been a popular method in various data analysis applications. It partitions a data set into a hierarchical collection of clusters, and can provide a glob…
Metric embedding with outliers
Anastasios Sidiropoulos, Yusu Wang
We initiate the study of metric embeddings with \emph{outliers}. Given some metric space we wish to find a small set of outlier points and either an isometric…