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20162026
most citedOn the Separability of Stochastic Geometric Objects, with Applications

5 citations · 17 across the 15 of their papers we have counts for

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cs.CG2026

Approximating Convex Hulls via Range Queries

T. Schibler, J. Xue, J. Zhu

Recently, motivated by the rapid increase of the data size in various applications, Monemizadeh [APPROX'23] and Driemel, Monemizadeh, Oh, Staals, and Woodruff [SoCG'25] studied geo…

cs.CG2023

Minimum-Membership Geometric Set Cover, Revisited

Sayan Bandyapadhyay, William Lochet, Saket Saurabh +1

We revisit a natural variant of geometric set cover, called minimum-membership geometric set cover (MMGSC). In this problem, the input consists of a set of points and a set $\m…

cs.CG2022

Point Separation and Obstacle Removal by Finding and Hitting Odd Cycles

Neeraj Kumar, Daniel Lokshtanov, Saket Saurabh +2

Suppose we are given a pair of points and a set of geometric objects in the plane, called obstacles. We show that in polynomial time one can construct an auxiliary (…

cs.CG2021

Dynamic Geometric Set Cover, Revisited

Timothy M. Chan, Qizheng He, Subhash Suri +1

Geometric set cover is a classical problem in computational geometry, which has been extensively studied in the past. In the dynamic version of the problem, points and ranges may b…

cs.CG2020

Dynamic geometric set cover and hitting set

Pankaj K. Agarwal, Hsien-Chih Chang, Subhash Suri +2

We investigate dynamic versions of geometric set cover and hitting set where points and ranges may be inserted or deleted, and we want to efficiently maintain an (approximately) op…

cs.CG2019

Range closest-pair search in higher dimensions

Timothy M. Chan, Saladi Rahul, Jie Xue

Range closest-pair (RCP) search is a range-search variant of the classical closest-pair problem, which aims to store a given set of points into some space-efficient data struct…

cs.CG2019★ 2 cited

Improved Algorithms for the Bichromatic Two-Center Problem for Pairs of Points

Haitao Wang, Jie Xue

We consider a bichromatic two-center problem for pairs of points. Given a set of pairs of points in the plane, for every pair, we want to assign a red color to one point an…

cs.CG2019★ 1 cited

Near-Optimal Algorithms for Shortest Paths in Weighted Unit-Disk Graphs

Haitao Wang, Jie Xue

We revisit a classical graph-theoretic problem, the \textit{single-source shortest-path} (SSSP) problem, in weighted unit-disk graphs. We first propose an exact (and deterministic)…

cs.CG2018

Colored range closest-pair problem under general distance functions

Jie Xue

The range closest-pair (RCP) problem is the range-search version of the classical closest-pair problem, which aims to store a given dataset of points in some data structure such th…

cs.CG2018★ 1 cited

Searching for the closest-pair in a query translate

Jie Xue, Yuan Li, Saladi Rahul +1

We consider a range-search variant of the closest-pair problem. Let be a fixed shape in the plane. We are interested in storing a given set of points in the plane i…

cs.CG2017★ 1 cited

New bounds for range closest-pair problems

Jie Xue, Yuan Li, Saladi Rahul +1

Given a dataset of points in , the range closest-pair (RCP) problem aims to preprocess into a data structure such that when a query range is specified, th…

cs.CG2017★ 3 cited

On the expected diameter, width, and complexity of a stochastic convex-hull

Jie Xue, Yuan Li, Ravi Janardan

We investigate several computational problems related to the stochastic convex hull (SCH). Given a stochastic dataset consisting of points in each of which has a…

cs.CG2016★ 1 cited

Stochastic closest-pair problem and most-likely nearest-neighbor search in tree spaces

Jie Xue, Yuan Li

Let be a tree space (or tree network) represented by a weighted tree with vertices, and be a set of stochastic points in , each of which has a fixed location wit…

cs.CG2016★ 1 cited

On Dominance-Free Samples of a (Colored) Stochastic Dataset

Jie Xue, Yuan Li

A point is said to dominate another point if the coordinate of is greater than or equal to the coordinate of in every dimension. A…

cs.CG2016★ 5 cited

On the Separability of Stochastic Geometric Objects, with Applications

Jie Xue, Yuan Li, Ravi Janardan

In this paper, we study the linear separability problem for stochastic geometric objects under the well-known unipoint/multipoint uncertainty models. Let be a give…