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Xin Gao

19 papers hereh-index 487.6k citations239 works total

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

author position
  • middle author8
  • last author10

Across the 18 of 19 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CV3
  • q-bio.QM3
  • cs.CE1
  • cs.CL1
  • cs.NE1
same name
  • Xin Gao — 37 papers, h 22
  • Xin Gao — 27 papers, h 7
  • Xin Gao — 26 papers, h 14
  • Xin Gao — 12 papers, h 9
  • Xin Gao — 11 papers, h 3
  • Xin Gao — 10 papers, h 14

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
20122020
most citedOnto2Vec: joint vector-based representation of biological entities and their ontology-based annotations

135 citations · 572 across the 19 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

cs.LG2014★ 2 cited

Learning manifold to regularize nonnegative matrix factorization

Jim Jing-Yan Wang, Xin Gao

Inthischapterwediscusshowtolearnanoptimalmanifoldpresentationto regularize nonegative matrix factorization (NMF) for data representation problems. NMF,whichtriestorepresentanonnega…

cs.LG2014

Maximum mutual information regularized classification

Jim Jing-Yan Wang, Yi Wang, Shiguang Zhao +1

In this paper, a novel pattern classification approach is proposed by regularizing the classifier learning to maximize mutual information between the classification response and th…

cs.CV2014★ 1 cited

Large Margin Image Set Representation and Classification

Jim Jing-Yan Wang, Majed Alzahrani, Xin Gao

In this paper, we propose a novel image set representation and classification method by maximizing the margin of image sets. The margin of an image set is defined as the difference…

cs.CV2014★ 116 cited

Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing

Zhiwu Lu, Zhenyong Fu, Tao Xiang +2

This paper presents a weakly supervised sparse learning approach to the problem of noisily tagged image parsing, or segmenting all the objects within a noisily tagged image and ide…

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