Jieping Ye, IEEE Fellow & ACM Distinguished Member

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Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M UniversityPatvirtintas el. paštas tamu.edu
Jun LiuInfinia MLPatvirtintas el. paštas asu.edu
Jiayu ZhouUniversity of MichiganPatvirtintas el. paštas umich.edu
Pinghua GongUniversity of Michigan, Ann ArborPatvirtintas el. paštas umich.edu
Yalin WangProfessor of Computer Science and Engineering, Arizona State UniversityPatvirtintas el. paštas asu.edu
Jianhui ChenMicrosoftPatvirtintas el. paštas asu.edu
Qi LiWestern Kentucky UniversityPatvirtintas el. paštas wku.edu
Peter WonkaKing Abdullah University of Science and Technology (KAUST)Patvirtintas el. paštas kaust.edu.sa
Qingyang LiLLM and RLHFPatvirtintas el. paštas didiglobal.com
Binbin LinUniversity of MichiganPatvirtintas el. paštas zju.edu.cn
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCPatvirtintas el. paštas usc.edu
Jie Wang,Professor at University of Science and Technology of ChinaPatvirtintas el. paštas ustc.edu.cn
Lei YuanEngineering Manager, Machine Learning at FacebookPatvirtintas el. paštas asu.edu
Ji LiuMetaPatvirtintas el. paštas meta.com
Zheng WangUniversity of Michigan, Ann ArborPatvirtintas el. paštas umich.edu
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State UniversityPatvirtintas el. paštas asu.edu
Qian SunGooglePatvirtintas el. paštas google.com
Sudhir KumarDirector, iGEM, Carnell Professor of Biology, Temple UniversityPatvirtintas el. paštas temple.edu
Xiaofei HeProfessor of Computer Science, Zhejiang UniversityPatvirtintas el. paštas cad.zju.edu.cn
Teresa WuProfessor, School of Computing and Augmented IntelligencePatvirtintas el. paštas asu.edu

Stebėti

Jieping Ye, IEEE Fellow & ACM Distinguished Member

Alibaba Group

Patvirtintas el. paštas umich.edu - Pagrindinis puslapis

Machine learning data mining transportation biomedical informatics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	3193	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	2121	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	1329	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	1171	2021
Two-dimensional linear discriminant analysis J Ye, R Janardan, Q Li Advances in Neural Information Processing Systems 17, 1569-1576, 2004	931	2004
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	891	2012
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	882	2019
Multi-task feature learning via efficient l2, 1-norm minimization J Liu, S Ji, J Ye arXiv preprint arXiv:1205.2631, 2012	810	2012
SLEP: Sparse learning with efficient projections J Liu, S Ji, J Ye Arizona State University 6 (491), 7, 2009	808*	2009
Generalized low rank approximations of matrices J Ye Proceedings of the twenty-first international conference on Machine learning …, 2004	607	2004
An accelerated gradient method for trace norm minimization S Ji, J Ye Proceedings of the 26th annual international conference on machine learning …, 2009	546	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	473	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	402	2013
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
Malsar: Multi-task learning via structural regularization J Zhou, J Chen, J Ye Arizona State University 21, 1-50, 2011	401	2011
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	377	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	363	2010
Least squares linear discriminant analysis J Ye Proceedings of the 24th international conference on Machine learning, 1087-1093, 2007	350	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	337	2017

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