6 citations · 6 across the 11 of their papers we have counts for
7 papers · 1 filter
DAG Covers for Structured Graphs: The Steiner Point Effect
Sujoy Bhore, Hsien-Chih Chang, Jonathan Conroy +4
Given a weighted digraph , a -DAG cover is a collection of dominating DAGs such that all distances are approximately preserved: for every pair $(u,v…
Truly Subquadratic Time Algorithms for Diameter and Related Problems in Graphs of Bounded VC-dimension
Timothy M. Chan, Hsien-Chih Chang, Jie Gao +3
We give the first truly subquadratic time algorithm, with running time, for computing the diameter of an -vertex unit-disk graph, resolving a central open prob…
Cutting Planarians: Planar Emulators for String Graphs
Hsien-Chih Chang, Jonathan Conroy, Zihan Tan +1
In this paper we construct distance sketches for intersection graphs of arbitrary path-connected regions in the plane (known as the string graphs) in the constant and $1+\varepsilo…
Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
Gramoz Goranci, Peter Kiss, Neel Patel +3
We consider the Euclidean bi-chromatic matching problem in the dynamic setting, where the goal is to efficiently process point insertions and deletions while maintaining a high-qua…
From Directed Steiner Tree to Directed Polymatroid Steiner Tree in Planar Graphs
Chandra Chekuri, Rhea Jain, Shubhang Kulkarni +2
In the Directed Steiner Tree (DST) problem the input is a directed edge-weighted graph , a root vertex and a set of terminals. The goal is to find…
Fully Scalable Massively Parallel Algorithms for Embedded Planar Graphs
Yi-Jun Chang, Da Wei Zheng
We consider the massively parallel computation (MPC) model, which is a theoretical abstraction of large-scale parallel processing models such as MapReduce. In this model, assuming…
Multiplicative Auction Algorithm for Approximate Maximum Weight Bipartite Matching
Da Wei Zheng, Monika Henzinger
We present an auction algorithm using multiplicative instead of constant weight updates to compute a $(1-\eps)$-approximate maximum weight matching…