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Hung Le

7 papers hereh-index 450 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author5
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.DS4
  • cs.CG3
same name
  • Hung Le — 12 papers, h 3
  • Hung Le — 11 papers, h 1
  • Hung Le — 11 papers, h 2
  • Hung Le — 7 papers, h 5
  • Hung Le — 6 papers, h 15
  • Hung Le — 5 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.DSShow all

4 papers · 1 filter

cs.DS2025

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 O∗(n2−1/18) running time, for computing the diameter of an n-vertex unit-disk graph, resolving a central open prob…

cs.DS2025

Light Tree Covers, Routing, and Path-Reporting Oracles via Spanning Tree Covers in Doubling Graphs

Hsien-Chih Chang, Jonathan Conroy, Hung Le +2

A (1+ε)-stretch tree cover of an edge-weighted n-vertex graph G is a collection of trees, where every pair of vertices has a (1+ε)-stretch path in one o…

cs.DS2024

Embedding Planar Graphs into Graphs of Treewidth O(log3n)

Hsien-Chih Chang, Vincent Cohen-Addad, Jonathan Conroy +3

Cohen-Addad, Le, Pilipczuk, and Pilipczuk [CLPP23] recently constructed a stochastic embedding with expected 1+ε distortion of n-vertex planar graphs (with polynomial…

cs.DS2024

Computing Diameter +1 in Truly Subquadratic Time for Unit-Disk Graphs

Hsien-Chih Chang, Jie Gao, Hung Le

Finding the diameter of a graph in general cannot be done in truly subquadratic assuming the Strong Exponential Time Hypothesis (SETH), even when the underlying graph is unweighted…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.