D-Index & Metrics Best Publications

Junbin Gao

University of Sydney
Australia

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 36 Citations 6,478 401 World Ranking 7176 National Ranking 198

Overview

What is he best known for?

The fields of study Junbin Gao is best known for:

Statistics
Machine learning
Artificial neural network

His study in the field of Organic chemistry also crosses realms of Chemical engineering. He integrates Organic chemistry with Catalysis in his research. His Cluster analysis study overlaps with Clustering high-dimensional data and Spectral clustering. He performs integrative study on Spectral clustering and Cluster analysis. Junbin Gao incorporates Artificial intelligence and Data mining in his studies. Many of his studies on Combinatorics apply to Rank (graph theory) as well. His Rank (graph theory) study frequently draws connections between related disciplines such as Combinatorics. Theoretical computer science and Graph are commonly linked in his work. His research combines Theoretical computer science and Graph.

His most cited work include:

Laplacian Regularized Low-Rank Representation and Its Applications (318 citations)
Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization (278 citations)
Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition (173 citations)

What are the main themes of his work throughout his whole career to date

Artificial intelligence is intertwined with Pattern recognition (psychology), Cluster analysis, Dimensionality reduction, Subspace topology and Image (mathematics) in his research. Junbin Gao merges Algorithm with Artificial intelligence in his research. Combinatorics is frequently linked to Rank (graph theory) in his study. Rank (graph theory) is frequently linked to Combinatorics in his study. His Law study frequently draws connections between adjacent fields such as Representation (politics). He merges Representation (politics) with Politics in his study. Junbin Gao performs integrative Politics and Law research in his work.

Junbin Gao most often published in these fields:

Artificial intelligence (79.45%)
Pattern recognition (psychology) (56.16%)
Algorithm (29.45%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Laplacian Regularized Low-Rank Representation and Its Applications

Ming Yin;Junbin Gao;Zhouchen Lin.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016)

338 Citations

Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization

Yang Wang;Lin Wu;Xuemin Lin;Junbin Gao.
IEEE Transactions on Neural Networks (2018)

276 Citations

A review on applications of wavelet transform techniques in chemical analysis: 1989–1997

Alexander Kai-man Leung;Foo-tim Chau;Jun-bin Gao.
Chemometrics and Intelligent Laboratory Systems (1998)

269 Citations

Some Remarks on Kalman Filters for the Multisensor Fusion

Junbin Gao;Chris J. Harris.
Information Fusion (2002)

236 Citations

Chemometrics: From Basics to Wavelet Transform

F.T. Chau;Y.Z. Liang;Junbin Gao;X.G. Shao.
(2004)

212 Citations

Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition

Lin Wu;Yang Wang;Xue Li;Junbin Gao.
IEEE Transactions on Systems, Man, and Cybernetics (2019)

197 Citations

Deep adaptive feature embedding with local sample distributions for person re-identification

Lin Wu;Yang Wang;Junbin Gao;Xue Li.
Pattern Recognition (2018)

172 Citations

Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification

Lin Wu;Yang Wang;Junbin Gao;Xue Li.
IEEE Transactions on Multimedia (2019)

171 Citations

A Probabilistic Framework for SVM Regression and Error Bar Estimation

J. B. Gao;S. R. Gunn;C. J. Harris;M. Brown.
Machine Learning (2002)

169 Citations

What-and-where to match: Deep spatially multiplicative integration networks for person re-identification

Lin Wu;Yang Wang;Xue Li;Xue Li;Junbin Gao.
Pattern Recognition (2018)

135 Citations

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Frequent Co-Authors

External Links

Personal Website for Junbin Gao