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researcher

Le Song

3 papers here

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

author position
  • last author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1
  • stat.ML1
ORCID 0000-0003-0345-9899
same name
  • Le Song — 101 papers, h 66
  • Le Song — 11 papers, h 33
  • Le Song — 10 papers, h 5
  • Le Song — 6 papers, h 6
  • Le Song — 4 papers, h 7
  • Le Song — 3 papers, h 6

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

most citedStochastic Training of Graph Convolutional Networks with Variance Reduction

180 citations · 337 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2025★ 20 cited

From System 1 to System 2: A Survey of Reasoning Large Language Models

Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang +18

Achieving human-level intelligence requires refining the transition from the fast, intuitive System 1 to the slower, more deliberate System 2 reasoning. While System 1 excels in qu…

cs.LG2017★ 137 cited

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation

Bo Dai, Albert Shaw, Lihong Li +5

When function approximation is used, solving the Bellman optimality equation with stability guarantees has remained a major open problem in reinforcement learning for decades. The…

stat.ML2017★ 180 cited

Stochastic Training of Graph Convolutional Networks with Variance Reduction

Jianfei Chen, Jun Zhu, Le Song

Graph convolutional networks (GCNs) are powerful deep neural networks for graph-structured data. However, GCN computes the representation of a node recursively from its neighbors,…

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