Jieping Ye, IEEE Fellow & ACM Distinguished Member

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Shuiwang Ji, ProfessorDepartment of Computer Science & Engineering, Texas A&M UniversityEmail verificata su tamu.edu
Jun LiuInfinia MLEmail verificata su asu.edu
Jiayu ZhouAssociate Professor at Michigan State UniversityEmail verificata su cse.msu.edu
Jianhui ChenMicrosoftEmail verificata su asu.edu
Pinghua GongUniversity of Michigan, Ann ArborEmail verificata su umich.edu
Qi LiWestern Kentucky UniversityEmail verificata su wku.edu
Yalin WangAssociate Professor of Computer Science and Engineering, Arizona State UniversityEmail verificata su asu.edu
Peter WonkaKing Abdullah University of Science and Technology (KAUST)Email verificata su kaust.edu.sa
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCEmail verificata su usc.edu
Liang SunArizona State UniversityEmail verificata su asu.edu
Lei YuanPrincipal Machine Learning Scientist, Kuaishou TechnologyEmail verificata su asu.edu
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State UniversityEmail verificata su asu.edu
Binbin LinUniversity of MichiganEmail verificata su zju.edu.cn
Sudhir KumarDirector, iGEM, Carnell Professor of Biology, Temple UniversityEmail verificata su temple.edu
Ji LiuUniversity of RochesterEmail verificata su cs.rochester.edu
Qian SunGoogleEmail verificata su asu.edu
Jie Wang,Professor at University of Science and Technology of ChinaEmail verificata su ustc.edu.cn
Qingyang LiDiDi USA, DiDi LabsEmail verificata su didiglobal.com
Teresa WuProfessor, School of Computing and Augmented IntelligenceEmail verificata su asu.edu
Xiaofei HeProfessor of Computer Science, Zhejiang UniversityEmail verificata su cad.zju.edu.cn

Jieping Ye, IEEE Fellow & ACM Distinguished Member

University of Michigan & Beike

Email verificata su umich.edu - Home page

Machine learning data mining transportation biomedical informatics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	1341	2012
Two-dimensional linear discriminant analysis J Ye, R Janardan, Q Li Advances in Neural Information Processing Systems 17, 1569-1576, 2004	808	2004
SLEP: Sparse learning with efficient projections J Liu, S Ji, J Ye Arizona State University 6 (491), 7, 2009	713*	2009
Multi-task feature learning via efficient l2, 1-norm minimization J Liu, S Ji, J Ye arXiv preprint arXiv:1205.2631, 2012	657	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	570	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	538	2018
Generalized low rank approximations of matrices J Ye Machine Learning 61 (1-3), 167-191, 2005	532	2005
An accelerated gradient method for trace norm minimization S Ji, J Ye Proceedings of the 26th annual international conference on machine learning …, 2009	496	2009
Object detection in 20 years: A survey Z Zou, Z Shi, Y Guo, J Ye arXiv preprint arXiv:1905.05055, 2019	399	2019
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	373	2005
Malsar: Multi-task learning via structural regularization J Zhou, J Chen, J Ye Arizona State University 21, 2011	338	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	333	2005
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	309	2004
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	306	2011
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	296	2010
Least squares linear discriminant analysis J Ye Proceedings of the 24th international conference on Machine learning, 1087-1093, 2007	281	2007
Robust multi-task feature learning P Gong, J Ye, C Zhang Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	273	2012
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	272	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	260	2013
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	254	2019

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