| 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 | 186 | 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 | 145 | 2015 |
| Subspace clustering for sequential data S Tierney, J Gao, Y Guo Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 143 | 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 | 134 | 2016 |
| Enhancement of spectral resolution for remotely sensed multispectral image X Sun, L Zhang, H Yang, T Wu, Y Cen, Y Guo IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 64 | 2014 |
| A modified locality-preserving projection approach for hyperspectral image classification Y Zhai, L Zhang, N Wang, Y Guo, Y Cen, T Wu, Q Tong IEEE Geoscience and Remote Sensing Letters 13 (8), 1059-1063, 2016 | 52 | 2016 |
| Under-determined convolutive blind source separation combining density-based clustering and sparse reconstruction in time-frequency domain J Yang, Y Guo, Z Yang, S Xie IEEE Transactions on Circuits and Systems I: Regular Papers 66 (8), 3015-3027, 2019 | 48 | 2019 |
| Super-resolution for GaoFen-4 remote sensing images F Li, L Xin, Y Guo, D Gao, X Kong, X Jia IEEE Geoscience and Remote Sensing Letters 15 (1), 28-32, 2017 | 46 | 2017 |
| A framework of mixed sparse representations for remote sensing images F Li, L Xin, Y Guo, J Gao, X Jia IEEE Transactions on Geoscience and Remote Sensing 55 (2), 1210-1221, 2016 | 37 | 2016 |
| VariantSpark: population scale clustering of genotype information AR O’Brien, NFW Saunders, Y Guo, FA Buske, RJ Scott, DC Bauer BMC genomics 16, 1-9, 2015 | 36 | 2015 |
| Matrix neural networks J Gao, Y Guo, Z Wang Advances in Neural Networks-ISNN 2017: 14th International Symposium, ISNN …, 2017 | 34 | 2017 |
| An unmixing algorithm based on a large library of shortwave infrared spectra M Berman, L Bischof, R Lagerstrom, Y Guo, J Huntington, P Mason | 31 | 2011 |
| ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets J Ke, Y Lu, Y Shen, J Zhu, Y Zhou, J Huang, J Yao, X Liang, Y Guo, Z Wei, ... Medical Image Analysis 85, 102758, 2023 | 30 | 2023 |
| Spatial subspace learning for Hyperspectral Data Segmentation Y Guo, J Gao, F Li International Conference on Digital Information Processing and …, 2013 | 29 | 2013 |
| Kernel Laplacian eigenmaps for visualization of non-vectorial data Y Guo, J Gao, PWH Kwan Australasian Joint Conference on Artificial Intelligence, 1179-1183, 2006 | 29 | 2006 |
| A comparison between three sparse unmixing algorithms using a large library of shortwave infrared mineral spectra M Berman, L Bischof, R Lagerstrom, Y Guo, J Huntington, P Mason, ... IEEE transactions on geoscience and remote sensing 55 (6), 3588-3610, 2017 | 26 | 2017 |
| Soft cost aggregation with multi-resolution fusion X Tan, C Sun, D Wang, Y Guo, TD Pham Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 26 | 2014 |
| Twin kernel embedding Y Guo, J Gao, PW Kwan IEEE transactions on pattern analysis and machine intelligence 30 (8), 1490-1495, 2008 | 25 | 2008 |
| A comparison between subset selection and L1 regularisation with an application in spectroscopy Y Guo, M Berman Chemometrics and Intelligent Laboratory Systems 118, 127-138, 2012 | 24 | 2012 |
| Contextualized medication information extraction using transformer-based deep learning architectures A Chen, Z Yu, X Yang, Y Guo, J Bian, Y Wu Journal of biomedical informatics 142, 104370, 2023 | 22 | 2023 |
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyZweryfikowany adres z sydney.edu.au
