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researcher

Pu Li

4 papers hereh-index 455 citations9 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SI2
  • cs.CV1
  • cs.LG1
same name
  • Pu Li — 2 papers, h 0
  • Pu Li — 2 papers, h 5
  • Pu Li — 1 paper, h 1
  • Pu Li — 1 paper, h 3
  • Pu Li — 1 paper, h 1
  • Pu Li — 1 paper, 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

works on
community detection 1dynamic networks 1large-scale graphs 1overlapping communities 1structural entropy 1

From the 1 of 4 linked papers with an AI index.

activity
20242026
collaborators

4 papers

cs.SI2026

Comprehensive, Efficient Large-Scale Community Detection via Structural Entropy Game

Pu Li, Yantuan Xian, Hao Peng +4

The paper introduces CoDeSEG, a heuristic algorithm that detects non‑overlapping, overlapping, and dynamic communities in very large graphs by minimizing a two‑dimensional structur…

cs.SI2025

Community Detection in Large-Scale Complex Networks via Structural Entropy Game

Yantuan Xian, Pu Li, Hao Peng +3

Community detection is a critical task in graph theory, social network analysis, and bioinformatics, where communities are defined as clusters of densely interconnected nodes. Howe…

cs.CV2025

Hierarchical Superpixel Segmentation via Structural Information Theory

Minhui Xie, Hao Peng, Pu Li +5

Superpixel segmentation is a foundation for many higher-level computer vision tasks, such as image segmentation, object recognition, and scene understanding. Existing graph-based s…

cs.LG2024

SocialED: A Python Library for Social Event Detection

Kun Zhang, Xiaoyan Yu, Pu Li +2

SocialED is a comprehensive, open-source Python library designed to support social event detection (SED) tasks, integrating 19 detection algorithms and 14 diverse datasets. It prov…

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