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Lijun Chang

The University of Sydney

7 papers hereh-index 363.9k citations101 works total

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

author position
  • sole author1
  • first author2
  • middle author2
  • last author2

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

fields
  • cs.DB5
  • cs.DC1
  • cs.DS1
affiliations
  • The University of Sydney
Homepage
same name
  • Lijun Chang — 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
20092020
most citedEnumerating k-Vertex Connected Components in Large Graphs

4 citations · 11 across the 6 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.DB2017★ 4 cited

An Optimal and Progressive Approach to Online Search of Top-k Influential Communities

Fei Bi, Lijun Chang, Xuemin Lin +1

Community search over large graphs is a fundamental problem in graph analysis. Recent studies propose to compute top-k influential communities, where each reported community not on…

cs.DS2017★ 1 cited

A Near-optimal Algorithm for Edge Connectivity-based Hierarchical Graph Decomposition

Lijun Chang

Driven by many applications in graph analytics, the problem of computing k-edge connected components (k-ECCs) of a graph G for a user-given k has been extensively studied r…

cs.DB2017

Efficient Graph Edit Distance Computation and Verification via Anchor-aware Lower Bound Estimation

Lijun Chang, Xing Feng, Xuemin Lin +2

Graph edit distance (GED) is an important similarity measure adopted in a similarity-based analysis between two graphs, and computing GED is a primitive operator in graph database…

cs.DB2017★ 4 cited

Enumerating k-Vertex Connected Components in Large Graphs

Dong Wen, Lu Qin, Xuemin Lin +2

Cohesive subgraph detection is an important graph problem that is widely applied in many application domains, such as social community detection, network visualization, and network…

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