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Cheng Meng

4 papers hereh-index 450 citations7 works total

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

author position
  • middle author1
  • last author3

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

fields
  • math.OC1
  • stat.CO1
  • stat.ME1
  • stat.ML1
same name
  • Cheng Meng — 9 papers
  • Cheng Meng — 9 papers, h 3
  • Cheng Meng — 5 papers, h 2
  • Cheng Meng — 2 papers, h 1
  • Cheng Meng — 2 papers, h 2
  • Cheng Meng — 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

most citedImportance Sparsification for Sinkhorn Algorithm

5 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2023

Leverage classifier: Another look at support vector machine

Yixin Han, Jun Yu, Nan Zhang +4

Support vector machine (SVM) is a popular classifier known for accuracy, flexibility, and robustness. However, its intensive computation has hindered its application to large-scale…

math.OC2023★ 2 cited

Sampling-Based Methods for Multi-Block Optimization Problems over Transport Polytopes

Yukuan Hu, Mengyu Li, Xin Liu +1

This paper focuses on multi-block optimization problems over transport polytopes, which underlie various applications including strongly correlated quantum physics and machine lear…

stat.ML2023★ 5 cited

Importance Sparsification for Sinkhorn Algorithm

Mengyu Li, Jun Yu, Tao Li +1

Sinkhorn algorithm has been used pervasively to approximate the solution to optimal transport (OT) and unbalanced optimal transport (UOT) problems. However, its practical applicati…

stat.CO2022★ 1 cited

Core-Elements for Large-Scale Least Squares Estimation

Mengyu Li, Jun Yu, Tao Li +1

The coresets approach, also called subsampling or subset selection, aims to select a subsample as a surrogate for the observed sample and has found extensive applications in large-…

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