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Kai Jin

16 papers hereh-index 7172 citations43 works total

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

author position
  • sole author3
  • first author8
  • middle author1
  • last author3

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CG9
  • cs.DS2
  • cs.SC2
  • cs.DM1
  • cs.GT1
  • math.GT1
same name
  • Kai Jin — 4 papers, h 7
  • Kai Jin — 4 papers, h 5
  • Kai Jin — 4 papers, h 1
  • Kai Jin — 3 papers, h 3
  • Kai Jin — 3 papers, h 8
  • Kai Jin — 2 papers, h 1

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
20122022
most citedLinear Time Approximation Schemes for Geometric Maximum Coverage

15 citations · 22 across the 14 of their papers we have counts for

collaborators
Showing 2017 · cs.CGShow all

4 papers · 2 filters

cs.CG2017

Linear time Minimum Area All-flush Triangles Circumscribing a Convex Polygon

Kai Jin, Zhiyi Huang

We study the problem of computing the minimum area triangle that circumscribes a given n-sided convex polygon touching edge-to-edge. In other words, we compute the minimum area t…

cs.CG2017★ 1 cited

Finding all Maximal Area Parallelograms in a Convex Polygon

Kai Jin

Polygon inclusion problems have been studied extensively in geometric optimization. In this paper, we consider the variant of computing the maximum area parallelograms (MAPs) and a…

cs.CG2017

A technique for solving the polygon inclusion problems

Kai Jin, Taikun Zhu, Ruixi Luo

We propose a technique called Rotate-and-Kill for solving the polygon inclusion and circumscribing problems. By applying this technique, we obtain O(n) time algorithms for comput…

cs.CG2017★ 15 cited

Linear Time Approximation Schemes for Geometric Maximum Coverage

Kai Jin, Jian Li, Haitao Wang +2

We study approximation algorithms for the following geometric version of the maximum coverage problem: Let P be a set of n weighted points in the plane. Let D repre…

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