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Shuangping Li

9 papers hereh-index 6188 citations13 works total

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

author position
  • first author1
  • middle author7
  • last author1

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • math.PR3
  • cs.CC2
  • math.ST2
  • math.CA1
  • stat.ML1
same name
  • Shuangping Li — 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
20192026
most citedMean Field Behavior during the Big Bang Regime for Coalescing Random Walks

9 citations · 15 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

math.PR2026

Graph Matching in Random Geometric Graphs I: Efficient Algorithms

Dong Huang, Ankang Jiao, Shuangping Li +1

We study the recovery of the hidden vertex correspondence between two correlated dense random geometric graphs. Each graph is generated from n latent unit vectors in $\mathbb R^d…

cs.CC2026

Rigorous Low-Degree Implications for Planted Subgraph Detection: Noise and Treewidth

Xuan Chen, Shuangping Li

The low-degree heuristic has become a widely used framework for predicting computational thresholds in average-case planted-versus-null problems. However, a recent sequence of coun…

cs.CC2026

Stable algorithms cannot reliably find isolated perceptron solutions

Shuyang Gong, Brice Huang, Shuangping Li +1

We study the binary perceptron, a random constraint satisfaction problem that asks to find a Boolean vector in the intersection of independently chosen random halfspaces. A strikin…

math.ST2026

Detection of local geometry in random graphs: information-theoretic and computational limits

Jinho Bok, Shuangping Li, Sophie H. Yu

We study the problem of detecting local geometry in random graphs. We introduce a model G(n,p,d,k), where a hidden community of average size k has edges drawn as a…

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