Jieping Ye, IEEE Fellow & ACM Distinguished Member

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Shuiwang Ji, Professor and Presidenti...Department of Computer Science & Engineering, Texas A&M UniversityE-mail confirmado em tamu.edu
Jun LiuInfinia MLE-mail confirmado em asu.edu
Jiayu ZhouAssociate Professor at Michigan State UniversityE-mail confirmado em cse.msu.edu
Jianhui ChenMicrosoftE-mail confirmado em asu.edu
Pinghua GongUniversity of Michigan, Ann ArborE-mail confirmado em umich.edu
Qi LiWestern Kentucky UniversityE-mail confirmado em wku.edu
Yalin WangAssociate Professor of Computer Science and Engineering, Arizona State UniversityE-mail confirmado em asu.edu
Liang SunArizona State UniversityE-mail confirmado em asu.edu
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCE-mail confirmado em usc.edu
Peter WonkaKing Abdullah University of Science and Technology (KAUST)E-mail confirmado em kaust.edu.sa
Lei YuanEngineering Manager, Machine Learning at FacebookE-mail confirmado em asu.edu
Binbin LinUniversity of MichiganE-mail confirmado em zju.edu.cn
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State UniversityE-mail confirmado em asu.edu
Sudhir KumarDirector, iGEM, Carnell Professor of Biology, Temple UniversityE-mail confirmado em temple.edu
Qian SunGoogleE-mail confirmado em google.com
Jie Wang,Professor at University of Science and Technology of ChinaE-mail confirmado em ustc.edu.cn
Ji LiuUniversity of RochesterE-mail confirmado em cs.rochester.edu
Qingyang LiDiDi USA, DiDi LabsE-mail confirmado em didiglobal.com
Teresa WuProfessor, School of Computing and Augmented IntelligenceE-mail confirmado em asu.edu
Zheng WangUniversity of Michigan, Ann ArborE-mail confirmado em umich.edu

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Jieping Ye, IEEE Fellow & ACM Distinguished Member

University of Michigan & Beike

E-mail confirmado em umich.edu - Página inicial

Machine learning data mining transportation biomedical informatics


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	1455	2012
Two-dimensional linear discriminant analysis J Ye, R Janardan, Q Li Advances in Neural Information Processing Systems 17, 1569-1576, 2004	843	2004
SLEP: Sparse learning with efficient projections J Liu, S Ji, J Ye Arizona State University 6 (491), 7, 2009	732*	2009
Multi-task feature learning via efficient l2, 1-norm minimization J Liu, S Ji, J Ye arXiv preprint arXiv:1205.2631, 2012	703	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	684	2018
Object detection in 20 years: A survey Z Zou, Z Shi, Y Guo, J Ye arXiv preprint arXiv:1905.05055, 2019	663	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	617	2012
Generalized low rank approximations of matrices J Ye Machine Learning 61 (1), 167-191, 2005	543	2005
An accelerated gradient method for trace norm minimization S Ji, J Ye Proceedings of the 26th annual international conference on machine learning …, 2009	511	2009
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	382	2005
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	375	2019
Malsar: Multi-task learning via structural regularization J Zhou, J Chen, J Ye Arizona State University 21, 1-50, 2011	351	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	332	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	318	2011
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	316	2004
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	304	2010
Least squares linear discriminant analysis J Ye Proceedings of the 24th international conference on Machine learning, 1087-1093, 2007	296	2007
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	290	2010
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	287	2013
Robust multi-task feature learning P Gong, J Ye, C Zhang Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	279	2012

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