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Junbin Gao

15 papers here

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

author position
  • middle author7
  • last author8

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.CV4
  • cs.AI1
  • cs.CL1
  • cs.DS1
  • math.OC1
ORCID 0000-0001-9803-0256
same name
  • Junbin Gao — 27 papers, h 27
  • Junbin Gao — 18 papers, h 45
  • Junbin Gao — 2 papers
  • Junbin Gao — 1 paper, h 3
  • Junbin Gao — 1 paper

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
20142024
most citedDiffusion Models for Time Series Applications: A Survey

9 citations · 22 across the 15 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification

Tengfei Liu, Yongli Hu, Junbin Gao +2

Long Document Classification (LDC) has gained significant attention recently. However, multi-modal data in long documents such as texts and images are not being effectively utilize…

cs.CV2016

Matrix Variate RBM Model with Gaussian Distributions

Simeng Liu, Yanfeng Sun, Yongli Hu +2

Restricted Boltzmann Machine (RBM) is a particular type of random neural network models modeling vector data based on the assumption of Bernoulli distribution. For multi-dimensiona…

cs.CV2016

Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications

Haoran Chen, Yanfeng Sun, Junbin Gao +2

Partial least squares regression (PLSR) has been a popular technique to explore the linear relationship between two datasets. However, most of algorithm implementations of PLSR may…

cs.CV2016★ 6 cited

Low-rank Multi-view Clustering in Third-Order Tensor Space

Ming Yin, Junbin Gao, Shengli Xie +1

The plenty information from multiple views data as well as the complementary information among different views are usually beneficial to various tasks, e.g., clustering, classifica…

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