| Object detection in 20 years: A survey Z Zou, K Chen, Z Shi, Y Guo, J Ye Proceedings of the IEEE 111 (3), 257-276, 2023 | 2434 | 2023 |
| Tensor completion for estimating missing values in visual data J Liu, P Musialski, P Wonka, J Ye IEEE transactions on pattern analysis and machine intelligence 35 (1), 208-220, 2012 | 1993 | 2012 |
| Deep multi-view spatial-temporal network for taxi demand prediction H Yao, F Wu, J Ke, X Tang, Y Jia, S Lu, P Gong, J Ye, Z Li Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 1209 | 2018 |
| Two-dimensional linear discriminant analysis J Ye, R Janardan, Q Li Advances in Neural Information Processing Systems 17, 1569-1576, 2004 | 921 | 2004 |
| A review on generative adversarial networks: Algorithms, theory, and applications J Gui, Z Sun, Y Wen, D Tao, J Ye IEEE transactions on knowledge and data engineering 35 (4), 3313-3332, 2021 | 918 | 2021 |
| Fast and accurate matrix completion via truncated nuclear norm regularization Y Hu, D Zhang, J Ye, X Li, X He IEEE transactions on pattern analysis and machine intelligence 35 (9), 2117-2130, 2012 | 842 | 2012 |
| Spatiotemporal multi-graph convolution network for ride-hailing demand forecasting X Geng, Y Li, L Wang, L Zhang, Q Yang, J Ye, Y Liu Proceedings of the AAAI conference on artificial intelligence 33 (01), 3656-3663, 2019 | 801 | 2019 |
| SLEP: Sparse learning with efficient projections J Liu, S Ji, J Ye Arizona State University 6 (491), 7, 2009 | 799* | 2009 |
| Multi-task feature learning via efficient l2, 1-norm minimization J Liu, S Ji, J Ye arXiv preprint arXiv:1205.2631, 2012 | 787 | 2012 |
| Generalized low rank approximations of matrices J Ye Proceedings of the twenty-first international conference on Machine learning …, 2004 | 599 | 2004 |
| An accelerated gradient method for trace norm minimization S Ji, J Ye Proceedings of the 26th annual international conference on machine learning …, 2009 | 545 | 2009 |
| Large-scale order dispatch in on-demand ride-hailing platforms: A learning and planning approach Z Xu, Z Li, Q Guan, D Zhang, Q Li, J Nan, C Liu, W Bian, J Ye Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 435 | 2018 |
| Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems. J Ye, B Yu Journal of Machine Learning Research 6 (4), 2005 | 395 | 2005 |
| Malsar: Multi-task learning via structural regularization J Zhou, J Chen, J Ye Arizona State University 21, 1-50, 2011 | 393 | 2011 |
| A general iterative shrinkage and thresholding algorithm for non-convex regularized optimization problems P Gong, C Zhang, Z Lu, J Huang, J Ye international conference on machine learning, 37-45, 2013 | 387 | 2013 |
| On similarity preserving feature selection Z Zhao, L Wang, H Liu, J Ye IEEE Transactions on Knowledge and Data engineering 25 (3), 619-632, 2011 | 365 | 2011 |
| A two-stage linear discriminant analysis via QR-decomposition J Ye, Q Li IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (6), 929-941, 2005 | 362 | 2005 |
| Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation S Huang, J Li, L Sun, J Ye, A Fleisher, T Wu, K Chen, E Reiman, ... NeuroImage 50 (3), 935-949, 2010 | 353 | 2010 |
| Least squares linear discriminant analysis J Ye Proceedings of the 24th international conference on Machine learning, 1087-1093, 2007 | 344 | 2007 |
| Canonical correlation analysis for multilabel classification: A least-squares formulation, extensions, and analysis L Sun, S Ji, J Ye IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (1), 194-200, 2010 | 332 | 2010 |
Shuiwang Ji, Professor and Presidenti...Department of Computer Science & Engineering, Texas A&M University在 tamu.edu 的电子邮件经过验证
