Követés
Jieping Ye, IEEE Fellow & ACM Distinguished Member
Jieping Ye, IEEE Fellow & ACM Distinguished Member
Alibaba Group
E-mail megerősítve itt: umich.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
32252023
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
21262012
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
13382018
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
11752021
Two-dimensional linear discriminant analysis
J Ye, R Janardan, Q Li
Advances in Neural Information Processing Systems 17, 1569-1576, 2004
9312004
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
8972012
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
8942019
Multi-task feature learning via efficient l2, 1-norm minimization
J Liu, S Ji, J Ye
arXiv preprint arXiv:1205.2631, 2012
8102012
SLEP: Sparse learning with efficient projections
J Liu, S Ji, J Ye
Arizona State University 6 (491), 7, 2009
809*2009
Generalized low rank approximations of matrices
J Ye
Proceedings of the twenty-first international conference on Machine learning …, 2004
6072004
An accelerated gradient method for trace norm minimization
S Ji, J Ye
Proceedings of the 26th annual international conference on machine learning …, 2009
5462009
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
4772018
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
4042013
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
4022005
Malsar: Multi-task learning via structural regularization
J Zhou, J Chen, J Ye
Arizona State University 21, 1-50, 2011
4012011
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
3792011
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
3702005
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
3622010
Least squares linear discriminant analysis
J Ye
Proceedings of the 24th international conference on Machine learning, 1087-1093, 2007
3512007
The simpler the better: a unified approach to predicting original taxi demands based on large-scale online platforms
Y Tong, Y Chen, Z Zhou, L Chen, J Wang, Q Yang, J Ye, W Lv
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
3372017
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