activity
20182020
collaborators

6 papers

cs.DM2020

Hedge Connectivity without Hedge Overlaps

Rupei Xu, Warren Shull

Connectivity is a central notion of graph theory and plays an important role in graph algorithm design and applications. With emerging new applications in networks, a new type of g…

cs.DS2019

The Landscape of Minimum Label Cut (Hedge Connectivity) Problem

Rupei Xu, András Faragó

Minimum Label Cut (or Hedge Connectivity) problem is defined as follows: given an undirected graph with vertices and edges, in which, each edge is labeled (with…

cs.DC2019

Job Edge-Fog Interconnection Network Creation Game in Internet of Things

Rupei Xu, András Faragó, Jason P. Jue

This is the first paper to address the topology structure of Job Edge-Fog interconnection network in the perspective of network creation game. A two level network creation game mod…

cs.DS2018

Connectivity and Structure in Large Networks

András Faragó, Rupei Xu

Large real-life complex networks are often modeled by various random graph constructions and hundreds of further references therein. In many cases it is not at all clear how the mo…

cs.DS2018

Utilizing Network Structure to Bound the Convergence Rate in Markov Chain Monte Carlo Algorithms

Ahmad Askarian, Rupei Xu, András Faragó

We consider the problem of estimating the measure of subsets in very large networks. A prime tool for this purpose is the Markov Chain Monte Carlo (MCMC) algorithm. This algorithm,…

cs.DS2018

A Simple Approximation for a Hard Routing Problem

Rupei Xu, András Faragó

We consider a routing problem which plays an important role in several applications, primarily in communication network planning and VLSI layout design. The original underlying gra…