| 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 | 477 | 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 | 421 | 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 | 408 | 2020 |
| Image segmentation for MR brain tumor detection using machine learning: a review TA Soomro, L Zheng, AJ Afifi, A Ali, S Soomro, M Yin, J Gao IEEE Reviews in Biomedical Engineering 16, 70-90, 2022 | 356 | 2022 |
| Some remarks on Kalman filters for the multisensor fusion JB Gao, CJ Harris Information Fusion 3 (3), 191-201, 2002 | 302 | 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 | 286 | 2021 |
| 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 | 266 | 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 | 261 | 2018 |
| Neighborhood linear discriminant analysis F Zhu, J Gao, J Yang, N Ye Pattern Recognition 123, 108422, 2022 | 243 | 2022 |
| Chemometrics: from basics to wavelet transform F Chau, Y Liang, J Gao, X Shao Wiley-Interscience, 2004 | 238 | 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 | 210 | 1998 |
| 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 | 204 | 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 | 204 | 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 | 191 | 2002 |
| 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 | 186 | 2019 |
| 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 | 177 | 2018 |
| Diffusion models for time-series applications: a survey L Lin, Z Li, R Li, X Li, J Gao Frontiers of Information Technology & Electronic Engineering 25 (1), 19-41, 2024 | 167 | 2024 |
| Sparse kernel learning with LASSO and Bayesian inference algorithm J Gao, PW Kwan, D Shi Neural networks 23 (2), 257-264, 2010 | 160 | 2010 |
| Hierarchical spatio–temporal graph convolutional networks and transformer network for traffic flow forecasting G Huo, Y Zhang, B Wang, J Gao, Y Hu, B Yin IEEE Transactions on Intelligent Transportation Systems 24 (4), 3855-3867, 2023 | 153 | 2023 |
| Subspace clustering for sequential data S Tierney, J Gao, Y Guo Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 149 | 2014 |
Baocai YinVerified email at bjut.edu.cn
