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Xiaojun Dong

12 papers hereh-index 6134 citations20 works total

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

author position
  • first author6
  • middle author6

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.DS9
  • cs.DC3
same name
  • Xiaojun Dong — 2 papers, h 4

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
20212025
most citedParallel Strong Connectivity Based on Faster Reachability

11 citations · 38 across the 12 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.DS2023★ 1 cited

Efficient Parallel Output-Sensitive Edit Distance

Xiangyun Ding, Xiaojun Dong, Yan Gu +2

Given two strings A[1..n] and B[1..m], and a set of operations allowed to edit the strings, the edit distance between A and B is the minimum number of operations required t…

cs.DS2023★ 2 cited

High-Performance and Flexible Parallel Algorithms for Semisort and Related Problems

Xiaojun Dong, Yunshu Wu, Zhongqi Wang +3

Semisort is a fundamental algorithmic primitive widely used in the design and analysis of efficient parallel algorithms. It takes input as an array of records and a function extrac…

cs.DC2023★ 11 cited

Parallel Strong Connectivity Based on Faster Reachability

Letong Wang, Xiaojun Dong, Yan Gu +1

Computing strongly connected components (SCC) is a fundamental problems in graph processing. As today's real-world graphs are getting larger and larger, parallel SCC is increasingl…

cs.DS2023★ 6 cited

Provably Fast and Space-Efficient Parallel Biconnectivity

Xiaojun Dong, Letong Wang, Yan Gu +1

Biconnectivity is one of the most fundamental graph problems. The canonical parallel biconnectivity algorithm is the Tarjan-Vishkin algorithm, which has O(n+m) optimal work (numb…

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