Professor Junbin Gao

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	All	Since 2018
Citations	8541	5831
h-index	46	38
i10-index	157	123

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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
Paul KwanProfessor of Data Analytics, Melbourne Institute of TechnologyVerified email at mit.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
Daming ShiVerified email at mdx.ac.uk
YIN MINGSchool of automation, Guangdong University of TechnologyVerified email at gdut.edu.cn
Professor Manoranjan PaulICT Researcher of the Year 2017 (ACS)Verified email at csu.edu.au
C J HarrisEm. Professor of Computational Intelligence , Southampton UniversityVerified email at ecs.soton.ac.uk
Boyue WangBeijing University of TechnologyVerified email at bjut.edu.cn
chunyan xunanjing university of science and technologyVerified email at njust.edu.cn
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR & CSIG; ex-VP of Samsung ResearchVerified email at pku.edu.cn
Stephen TierneyThe University of SydneyVerified email at sydney.edu.au
Yang Wang, 王杨Professor, Hefei University of TechnologyVerified email at hfut.edu.cn
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
Xue LiProfessor, The University of QueenslandVerified email at itee.uq.edu.au
Michael AntolovichCharles Sturt UniversityVerified email at csu.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	365	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	304	2018
Some remarks on Kalman filters for the multisensor fusion JB Gao, CJ Harris Information Fusion 3 (3), 191-201, 2002	260	2002
Chemometrics: from basics to wavelet transform F Chau, Y Liang, J Gao, X Shao Wiley-Interscience, 2004	222*	2004
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	215	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	205	1998
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	202	2018
A probabilistic framework for SVM regression and error bar estimation JB Gao, SR Gunn, CJ Harris, M Brown Machine Learning 46, 71-89, 2002	175	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	160	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	154	2020
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	130	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	125	2015
Subspace clustering for sequential data S Tierney, J Gao, Y Guo Proceedings of the IEEE conference on computer vision and pattern …, 2014	122	2014
Sparse kernel learning with LASSO and Bayesian inference algorithm J Gao, PW Kwan, D Shi Neural networks 23 (2), 257-264, 2010	120	2010
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	119	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	119	2007
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	117	2016
Impact of ICA-based image enhancement technique on retinal blood vessels segmentation TA Soomro, TM Khan, MAU Khan, J Gao, M Paul, L Zheng IEEE Access 6, 3524-3538, 2018	102	2018
Robust L1 principal component analysis and its Bayesian variational inference J Gao Neural computation 20 (2), 555-572, 2008	102	2008
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	96	2019

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