Professor Junbin Gao

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	All	Since 2018
Citations	9422	6719
h-index	48	41
i10-index	167	131

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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
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
Daming ShiVerified email at mdx.ac.uk
Lihong ZhengCharles Sturt UniversityVerified email at CSU.EDU.AU
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
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
Andi HanPhD student, University of SydneyVerified email at sydney.edu.au
Mohammad A U KhanAssociate Professor of Electrical and Computer Engineering, Jeddah, Saudi ArabiaVerified email at effatuniversity.edu.sa

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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	386	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	338	2018
Some remarks on Kalman filters for the multisensor fusion JB Gao, CJ Harris Information Fusion 3 (3), 191-201, 2002	267	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	233	2018
Chemometrics: from basics to wavelet transform F Chau, Y Liang, J Gao, X Shao Wiley-Interscience, 2004	226	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	219	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	208	2020
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	178	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	148	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	132	2015
Subspace clustering for sequential data S Tierney, J Gao, Y Guo Proceedings of the IEEE conference on computer vision and pattern …, 2014	126	2014
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	124	2016
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	123	2018
Sparse kernel learning with LASSO and Bayesian inference algorithm J Gao, PW Kwan, D Shi Neural networks 23 (2), 257-264, 2010	123	2010
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
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	106	2019
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	106	2018
Robust L1 principal component analysis and its Bayesian variational inference J Gao Neural computation 20 (2), 555-572, 2008	101	2008

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