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Zenglin Xu

47 papers hereh-index 5610.8k citations214 works total

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

author position
  • middle author6
  • last author37

Across the 43 of 47 papers where every author was matched, so the position is known.

fields
  • cs.LG27
  • cs.CV10
  • stat.ML4
  • cs.CL3
  • cs.AI1
  • cs.DC1
same name
  • Zenglin Xu — 15 papers, h 7
  • Zenglin Xu — 12 papers, h 3
  • Zenglin Xu — 11 papers
  • Zenglin Xu — 10 papers, h 7
  • Zenglin Xu — 7 papers, h 16
  • Zenglin Xu — 7 papers, h 5

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
20162023
most citedRobust Graph Learning from Noisy Data

305 citations · 787 across the 30 of their papers we have counts for

collaborators
Showing stat.MLShow all

4 papers · 1 filter

stat.ML2020★ 7 cited

Mutual Information Gradient Estimation for Representation Learning

Liangjian Wen, Yiji Zhou, Lirong He +2

Mutual Information (MI) plays an important role in representation learning. However, MI is unfortunately intractable in continuous and high-dimensional settings. Recent advances es…

stat.ML2019★ 2 cited

Additive Adversarial Learning for Unbiased Authentication

Jian Liang, Yuren Cao, Chenbin Zhang +3

Authentication is a task aiming to confirm the truth between data instances and personal identities. Typical authentication applications include face recognition, person re-identif…

stat.ML2018

Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification

Zhao Kang, Xiao Lu, Jinfeng Yi +1

Multiple kernel learning (MKL) method is generally believed to perform better than single kernel method. However, some empirical studies show that this is not always true: the comb…

stat.ML2017★ 12 cited

BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition

Guangxi Li, Jinmian Ye, Haiqin Yang +3

Recently, deep neural networks (DNNs) have been regarded as the state-of-the-art classification methods in a wide range of applications, especially in image classification. Despite…

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