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Professor Junbin Gao
Professor Junbin Gao
Discipline of Business Analytics in Business School, The University of Sydney
Verified email at sydney.edu.au
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
4202015
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
3792018
Some remarks on Kalman filters for the multisensor fusion
JB Gao, CJ Harris
Information Fusion 3 (3), 191-201, 2002
2822002
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
2802020
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
2462018
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
2342018
Chemometrics: from basics to wavelet transform
F Chau, Y Liang, J Gao, X Shao
Wiley-Interscience, 2004
2342004
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
2081998
A probabilistic framework for SVM regression and error bar estimation
JB Gao, SR Gunn, CJ Harris, M Brown
Machine Learning 46, 71-89, 2002
1812002
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
1722018
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
1702021
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
1682018
Neighborhood linear discriminant analysis
F Zhu, J Gao, J Yang, N Ye
Pattern Recognition 123, 108422, 2022
1612022
Sparse kernel learning with LASSO and Bayesian inference algorithm
J Gao, PW Kwan, D Shi
Neural networks 23 (2), 257-264, 2010
1422010
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
1402015
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
1372019
Subspace clustering for sequential data
S Tierney, J Gao, Y Guo
Proceedings of the IEEE conference on computer vision and pattern …, 2014
1342014
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
1282016
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
1262020
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
1242018
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