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Jialin Zhang

28 papers hereh-index 16989 citations70 works total

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

author position
  • middle author11
  • last author17

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.DS7
  • quant-ph7
  • cs.SI6
  • cs.GT4
  • cs.CC2
  • cs.DC1
same name
  • Jialin Zhang — 20 papers, h 7
  • Jialin Zhang — 19 papers, h 13
  • Jialin Zhang — 7 papers, h 18
  • Jialin Zhang — 5 papers, h 5
  • Jialin Zhang — 4 papers, h 13
  • Jialin Zhang — 3 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
20122023
most citedQuantum-to-Quantum Bernoulli Factory

14 citations · 63 across the 27 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

cs.DS2014

How to select the largest k elements from evolving data?

Qin Huang, Xingwu Liu, Xiaoming Sun +1

In this paper we investigate the top-k-selection problem, i.e. determine the largest, second largest, ..., and the k-th largest elements, in the dynamic data model. In this mod…

cs.GT2014★ 1 cited

Computing the Least-core and Nucleolus for Threshold Cardinality Matching Games

Qizhi Fang, Bo Li, Xiaoming Sun +2

Cooperative games provide a framework for fair and stable profit allocation in multi-agent systems. \emph{Core}, \emph{least-core} and \emph{nucleolus} are such solution concepts t…

cs.DS2014

Solving Multi-choice Secretary Problem in Parallel: An Optimal Observation-Selection Protocol

Xiaoming Sun, Jia Zhang, Jialin Zhang

The classical secretary problem investigates the question of how to hire the best secretary from n candidates who come in a uniformly random order. In this work we investigate a…

cs.SI2014★ 6 cited

Minimizing Seed Set Selection with Probabilistic Coverage Guarantee in a Social Network

Peng Zhang, Wei Chen, Xiaoming Sun +2

A topic propagating in a social network reaches its tipping point if the number of users discussing it in the network exceeds a critical threshold such that a wide cascade on the t…

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