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 | 1653 | 2012 |
Object detection in 20 years: A survey Z Zou, Z Shi, Y Guo, J Ye arXiv preprint arXiv:1905.05055, 2019 | 1022 | 2019 |
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 | 882 | 2018 |
Two-dimensional linear discriminant analysis J Ye, R Janardan, Q Li Advances in Neural Information Processing Systems 17, 1569-1576, 2004 | 874 | 2004 |
SLEP: Sparse learning with efficient projections J Liu, S Ji, J Ye Arizona State University 6 (491), 7, 2009 | 754* | 2009 |
Multi-task feature learning via efficient l2, 1-norm minimization J Liu, S Ji, J Ye arXiv preprint arXiv:1205.2631, 2012 | 726 | 2012 |
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 | 707 | 2012 |
Generalized low rank approximations of matrices J Ye Proceedings of the twenty-first international conference on Machine learning …, 2004 | 558 | 2004 |
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 | 529 | 2019 |
An accelerated gradient method for trace norm minimization S Ji, J Ye Proceedings of the 26th annual international conference on machine learning …, 2009 | 527 | 2009 |
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, 2021 | 433 | 2021 |
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 | 386 | 2005 |
Malsar: Multi-task learning via structural regularization J Zhou, J Chen, J Ye Arizona State University 21, 1-50, 2011 | 368 | 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 | 350 | 2005 |
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 | 335 | 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 | 325 | 2013 |
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 | 322 | 2010 |
An optimization criterion for generalized discriminant analysis on undersampled problems J Ye, R Janardan, CH Park, H Park IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (8), 982-994, 2004 | 318 | 2004 |
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 | 314 | 2010 |
Least squares linear discriminant analysis J Ye Proceedings of the 24th international conference on Machine learning, 1087-1093, 2007 | 313 | 2007 |