Professor Junbin Gao

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	All	Since 2018
Citations	9748	7035
h-index	49	41
i10-index	172	137

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Baocai YinVerified email at bjut.edu.cn
Yongli HuBeijing University of TechnologyVerified email at bjut.edu.cn
Yi GuoWestern Sydney UniversityVerified email at westernsydney.edu.au
Toufique Ahmed SoomroQuaid-e-Awam University of Engineering and Science Technology Nawabshah.Verified email at quest.edu.pk
Xia HongProfessor of Computational Intelligence, University of ReadingVerified email at reading.ac.uk
Professor Manoranjan PaulICT Researcher of the Year 2017 (ACS)Verified email at csu.edu.au
Lihong ZhengCharles Sturt UniversityVerified email at CSU.EDU.AU
Daming ShiVerified email at mdx.ac.uk
Boyue WangBeijing University of TechnologyVerified email at bjut.edu.cn
C J HarrisEm. Professor of Computational Intelligence , Southampton UniversityVerified email at ecs.soton.ac.uk
chunyan xunanjing university of science and technologyVerified email at njust.edu.cn
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung ResearchVerified email at pku.edu.cn
Andi HanUniversity of SydneyVerified email at sydney.edu.au
Yang Wang, 王杨Professor, Hefei University of TechnologyVerified email at hfut.edu.cn
Stephen TierneyThe University of SydneyVerified email at sydney.edu.au
Jian YangProf. of Computer Science, Nanjing University of Science and TechnologyVerified email at njust.edu.cn
Rafiqul IslamA/Professor in Computing, Charles Sturt UniversityVerified email at csu.edu.au
Mohammad A U KhanAssociate Professor of Electrical and Computer Engineering, Jeddah, Saudi ArabiaVerified email at effatuniversity.edu.sa
Sean QianProfessor, Carnegie Mellon UniversityVerified email at cmu.edu
Xue LiProfessor, The University of QueenslandVerified email at eecs.uq.edu.au

Professor Junbin Gao

Discipline of Business Analytics in Business School, The University of Sydney

Verified email at sydney.edu.au

Statistical Machine Learning Big Data Analytics Learning on Manifolds Computer Vision Image Analysis


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Laplacian regularized low-rank representation and its applications M Yin, J Gao, Z Lin IEEE transactions on pattern analysis and machine intelligence 38 (3), 504-517, 2015	392	2015
Multiview spectral clustering via structured low-rank matrix factorization Y Wang, L Wu, X Lin, J Gao IEEE transactions on neural networks and learning systems 29 (10), 4833-4843, 2018	349	2018
Some remarks on Kalman filters for the multisensor fusion JB Gao, CJ Harris Information Fusion 3 (3), 191-201, 2002	270	2002
Deep attention-based spatially recursive networks for fine-grained visual recognition L Wu, Y Wang, X Li, J Gao IEEE transactions on cybernetics 49 (5), 1791-1802, 2018	237	2018
Optimized graph convolution recurrent neural network for traffic prediction K Guo, Y Hu, Z Qian, H Liu, K Zhang, Y Sun, J Gao, B Yin IEEE Transactions on Intelligent Transportation Systems 22 (2), 1138-1149, 2020	233	2020
Chemometrics: from basics to wavelet transform F Chau, Y Liang, J Gao, X Shao Wiley-Interscience, 2004	228	2004
Where-and-when to look: Deep siamese attention networks for video-based person re-identification L Wu, Y Wang, J Gao, X Li IEEE Transactions on Multimedia 21 (6), 1412-1424, 2018	221	2018
A review on applications of wavelet transform techniques in chemical analysis: 1989–1997 AK Leung, F Chau, J Gao Chemometrics and Intelligent Laboratory Systems 43 (1-2), 165-184, 1998	203	1998
A probabilistic framework for SVM regression and error bar estimation JB Gao, SR Gunn, CJ Harris, M Brown Machine Learning 46, 71-89, 2002	179	2002
Deep adaptive feature embedding with local sample distributions for person re-identification L Wu, Y Wang, J Gao, X Li Pattern Recognition 73, 275-288, 2018	165	2018
Multiview subspace clustering via tensorial t-product representation M Yin, J Gao, S Xie, Y Guo IEEE transactions on neural networks and learning systems 30 (3), 851-864, 2018	152	2018
Dual graph regularized latent low-rank representation for subspace clustering M Yin, J Gao, Z Lin, Q Shi, Y Guo IEEE Transactions on Image Processing 24 (12), 4918-4933, 2015	133	2015
Sparse kernel learning with LASSO and Bayesian inference algorithm J Gao, PW Kwan, D Shi Neural networks 23 (2), 257-264, 2010	128	2010
Kernel sparse subspace clustering on symmetric positive definite manifolds M Yin, Y Guo, J Gao, Z He, S Xie Proceedings of the IEEE conference on computer vision and pattern …, 2016	125	2016
Subspace clustering for sequential data S Tierney, J Gao, Y Guo Proceedings of the IEEE conference on computer vision and pattern …, 2014	125	2014
What-and-where to match: Deep spatially multiplicative integration networks for person re-identification L Wu, Y Wang, X Li, J Gao Pattern Recognition 76, 727-738, 2018	124	2018
Simulated maximum likelihood method for estimating kinetic rates in gene expression T Tian, S Xu, J Gao, K Burrage Bioinformatics 23 (1), 84-91, 2007	120	2007
Deep learning models for retinal blood vessels segmentation: a review TA Soomro, AJ Afifi, L Zheng, S Soomro, J Gao, O Hellwich, M Paul IEEE Access 7, 71696-71717, 2019	114	2019
Hierarchical graph convolution network for traffic forecasting K Guo, Y Hu, Y Sun, S Qian, J Gao, B Yin Proceedings of the AAAI conference on artificial intelligence 35 (1), 151-159, 2021	112	2021
Neighborhood linear discriminant analysis F Zhu, J Gao, J Yang, N Ye Pattern Recognition 123, 108422, 2022	108	2022

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