Professor Junbin Gao

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Citations	7674	5427
h-index	43	37
i10-index	146	120

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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
Daming ShiVerified email at mdx.ac.uk
Xia HongProfessor of Computational Intelligence, University of ReadingVerified email at reading.ac.uk
Toufique Ahmed SoomroQuaid-e-Awam University of Engineering and Science Technology Nawabshah.Verified email at quest.edu.pk
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
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR & CSIG; ex-VP of Samsung ResearchVerified email at pku.edu.cn
Lin WuThe University of Western Australia, AustraliaVerified email at uwa.edu.au
chunyan xunanjing university of science and technologyVerified email at njust.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
Rafiqul IslamA/Professor in Computing, Charles Sturt UniversityVerified email at csu.edu.au
Jian YangProf. of Computer Science, Nanjing University of Science and TechnologyVerified email at njust.edu.cn
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

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 Computer Vision Image Analysis Chemometrics


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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	334	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	275	2018
Some remarks on Kalman filters for the multisensor fusion JB Gao, CJ Harris Information Fusion 3 (3), 191-201, 2002	246	2002
Chemometrics: from basics to wavelet transform YZ Liang, FT Chau, J Gao, XG Shao John Wiley & Sons, 2004	213	2004
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	200	1998
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	197	2018
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	190	2018
A probabilistic framework for SVM regression and error bar estimation JB Gao, SR Gunn, CJ Harris, M Brown Machine Learning 46 (1), 71-89, 2002	167	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	159	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	120	2015
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	118	2007
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	114	2018
Subspace clustering for sequential data S Tierney, J Gao, Y Guo Proceedings of the IEEE conference on computer vision and pattern …, 2014	113	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	110	2016
Sparse kernel learning with LASSO and Bayesian inference algorithm J Gao, PW Kwan, D Shi Neural networks 23 (2), 257-264, 2010	109	2010
Robust L1 principal component analysis and its Bayesian variational inference J Gao Neural computation 20 (2), 555-572, 2008	103	2008
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	101	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	99	2018
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	94	2018
Wavelet transform: a method for derivative calculation in analytical chemistry AK Leung, F Chau, J Gao Analytical Chemistry 70 (24), 5222-5229, 1998	87	1998

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