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Junbin Gao

Discipline of Business Analytics, The University of Sydney Business School, The University of Sydney, Sydney, NSW, Australia

18 papers hereh-index 457.6k citations336 works total

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

author position
  • middle author11
  • last author5

Across the 16 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.LG4
  • cs.DS1
  • stat.ML1
affiliations
  • Discipline of Business Analytics, The University of Sydney Business School, The University of Sydney, Sydney, NSW, Australia
Homepage
same name
  • Junbin Gao — 27 papers, h 27
  • Junbin Gao — 15 papers
  • 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
20152019
most citedMulti-View Spectral Clustering via Structured Low-Rank Matrix Factorization

433 citations · 821 across the 11 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2019

Cluster Developing 1-Bit Matrix Completion

Chengkun Zhang. Junbin Gao, Stephen Lu

Matrix completion has a long-time history of usage as the core technique of recommender systems. In particular, 1-bit matrix completion, which considers the prediction as a ``Recom…

cs.LG2019

Manifold Optimization Assisted Gaussian Variational Approximation

Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran +1

Gaussian variational approximation is a popular methodology to approximate posterior distributions in Bayesian inference especially in high dimensional and large data settings. To…

cs.LG2019

Sparse Least Squares Low Rank Kernel Machines

Di Xu, Manjing Fang, Xia Hong +1

A general framework of least squares support vector machine with low rank kernels, referred to as LR-LSSVM, is introduced in this paper. The special structure of low rank kernels w…

cs.LG2017★ 9 cited

Tensorial Recurrent Neural Networks for Longitudinal Data Analysis

Mingyuan Bai, Boyan Zhang, Junbin Gao

Traditional Recurrent Neural Networks assume vectorized data as inputs. However many data from modern science and technology come in certain structures such as tensorial time serie…

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