‪Jieping Ye, IEEE Fellow & ACM Distinguished Member‬

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221 articles

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Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M UniversityAdresse e-mail validée de tamu.edu
Jun LiuInfinia MLAdresse e-mail validée de asu.edu
Jiayu ZhouUniversity of MichiganAdresse e-mail validée de umich.edu
Pinghua GongUniversity of Michigan, Ann ArborAdresse e-mail validée de umich.edu
Yalin WangProfessor of Computer Science and Engineering, Arizona State UniversityAdresse e-mail validée de asu.edu
Jianhui ChenMicrosoftAdresse e-mail validée de asu.edu
Qi LiWestern Kentucky UniversityAdresse e-mail validée de wku.edu
Peter WonkaKing Abdullah University of Science and Technology (KAUST)Adresse e-mail validée de kaust.edu.sa
Qingyang LiLLM and RLHFAdresse e-mail validée de didiglobal.com
Binbin LinUniversity of MichiganAdresse e-mail validée de zju.edu.cn
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCAdresse e-mail validée de usc.edu
Jie Wang,Professor at University of Science and Technology of ChinaAdresse e-mail validée de ustc.edu.cn
Lei YuanEngineering Manager, Machine Learning at FacebookAdresse e-mail validée de asu.edu
Zheng WangUniversity of Michigan, Ann ArborAdresse e-mail validée de umich.edu
Ji LiuMetaAdresse e-mail validée de meta.com
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State UniversityAdresse e-mail validée de asu.edu
Sudhir KumarDirector, iGEM, Carnell Professor of Biology, Temple UniversityAdresse e-mail validée de temple.edu
Qian SunGoogleAdresse e-mail validée de google.com
Xiaofei HeProfessor of Computer Science, Zhejiang UniversityAdresse e-mail validée de cad.zju.edu.cn
Teresa WuProfessor, School of Computing and Augmented IntelligenceAdresse e-mail validée de asu.edu

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Jieping Ye, IEEE Fellow & ACM Distinguished Member

Alibaba Group

Adresse e-mail validée de umich.edu - Page d'accueil

Machine learning data mining transportation biomedical informatics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	3515	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	2161	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	1372	2018
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	1278	2021
Two-dimensional linear discriminant analysis J Ye, R Janardan, Q Li Advances in Neural Information Processing Systems 17, 1569-1576, 2004	939	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	925	2019
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	912	2012
Multi-task feature learning via efficient l2, 1-norm minimization J Liu, S Ji, J Ye arXiv preprint arXiv:1205.2631, 2012	814	2012
SLEP: Sparse learning with efficient projections J Liu, S Ji, J Ye Arizona State University 6 (491), 7, 2009	813*	2009
Generalized low rank approximations of matrices J Ye Proceedings of the twenty-first international conference on Machine learning …, 2004	614	2004
An accelerated gradient method for trace norm minimization S Ji, J Ye Proceedings of the 26th annual international conference on machine learning …, 2009	547	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	496	2018
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	411	2013
Malsar: Multi-task learning via structural regularization J Zhou, J Chen, J Ye Arizona State University 21, 1-50, 2011	402	2011
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	402	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	384	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	370	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	369	2010
Least squares linear discriminant analysis J Ye Proceedings of the 24th international conference on Machine learning, 1087-1093, 2007	354	2007
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	342	2017

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