Professor Junbin Gao 个人学术档案

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	总计	2019 年至今
引用	10966	7573
h 指数	52	40
i10 指数	195	149

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Baocai Yin在 bjut.edu.cn 的电子邮件经过验证
Yongli HuBeijing University of Technology在 bjut.edu.cn 的电子邮件经过验证
Yi GuoWestern Sydney University在 westernsydney.edu.au 的电子邮件经过验证
Toufique Ahmed SoomroElectronic Engineering Department, The University of Larkano, Larkana Sindh Pakistan在 quest.edu.pk 的电子邮件经过验证
Paul KwanAssociate Professor of ICT, Central Queensland University在 cqu.edu.au 的电子邮件经过验证
Boyue WangBeijing University of Technology在 bjut.edu.cn 的电子邮件经过验证
Xia HongProfessor of Computational Intelligence, University of Reading在 reading.ac.uk 的电子邮件经过验证
Lihong ZhengCharles Sturt University在 CSU.EDU.AU 的电子邮件经过验证
Professor Manoranjan PaulResearcher of the Year 2017 (ACS)在 csu.edu.au 的电子邮件经过验证
Daming Shi在 mdx.ac.uk 的电子邮件经过验证
C J HarrisEm. Professor of Computational Intelligence , Southampton University在 ecs.soton.ac.uk 的电子邮件经过验证
Andi HanRiken AIP在 riken.jp 的电子邮件经过验证
chunyan xunanjing university of science and technology在 njust.edu.cn 的电子邮件经过验证
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung Research在 pku.edu.cn 的电子邮件经过验证
Jian YangProf. of Computer Science, Nanjing University of Science and Technology在 njust.edu.cn 的电子邮件经过验证
Yang Wang, 王杨Hefei University of Technology在 hfut.edu.cn 的电子邮件经过验证
Stephen TierneyThe University of Sydney在 sydney.edu.au 的电子邮件经过验证
Rafiqul IslamA/Professor in Computing, Charles Sturt University在 csu.edu.au 的电子邮件经过验证
Sean QianProfessor, Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
Mohammad A U KhanAssociate Professor of Electrical and Computer Engineering, Jeddah, Saudi Arabia在 effatuniversity.edu.sa 的电子邮件经过验证

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Professor Junbin Gao

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

在 sydney.edu.au 的电子邮件经过验证

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


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	425	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	377	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	283	2020
Some remarks on Kalman filters for the multisensor fusion JB Gao, CJ Harris Information Fusion 3 (3), 191-201, 2002	282	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	247	2018
Chemometrics: from basics to wavelet transform F Chau, Y Liang, J Gao, X Shao Wiley-Interscience, 2004	236	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	231	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	208	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
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	173	2021
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	172	2018
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	169	2018
Neighborhood linear discriminant analysis F Zhu, J Gao, J Yang, N Ye Pattern Recognition 123, 108422, 2022	164	2022
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	142	2015
Sparse kernel learning with LASSO and Bayesian inference algorithm J Gao, PW Kwan, D Shi Neural networks 23 (2), 257-264, 2010	141	2010
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	139	2019
Subspace clustering for sequential data S Tierney, J Gao, Y Guo Proceedings of the IEEE conference on computer vision and pattern …, 2014	134	2014
Dynamic graph convolution network for traffic forecasting based on latent network of Laplace matrix estimation K Guo, Y Hu, Z Qian, Y Sun, J Gao, B Yin IEEE Transactions on Intelligent Transportation Systems 23 (2), 1009-1018, 2020	128	2020
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	128	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	125	2018

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