Jiayu Zhou

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Jieping Ye, IEEE Fellow & ACM Distin...Alibaba DAMO AcademyDirección de correo verificada de umich.edu
Fei Wang, FAMIA, FIAHSI, FACMIAssociate Professor at Cornell UniversityDirección de correo verificada de med.cornell.edu
Kaixiang LinApplied scientist, Amazon Web ServicesDirección de correo verificada de msu.edu
Anil K. JainMichigan State UniversityDirección de correo verificada de cse.msu.edu
İnci M. BaytaşAssistant Professor at Bogazici UniversityDirección de correo verificada de boun.edu.tr
Pang-Ning TanProfessor of Computer Science, Michigan State UniversityDirección de correo verificada de msu.edu
Hiroko H. DodgeMassachusetts General Hospital, Harvard Medical SchoolDirección de correo verificada de mgh.harvard.edu
Zhangyang (Atlas) WangUniversity of Texas at Austin & Picsart AI ResearchDirección de correo verificada de utexas.edu
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCDirección de correo verificada de usc.edu
Liang ZhanAssociate Professor, Deps. of ECE and BioE, University of PittsburghDirección de correo verificada de pitt.edu
Yalin WangAssociate Professor of Computer Science and Engineering, Arizona State UniversityDirección de correo verificada de asu.edu
Shiyu ChangUniversity of California, Santa BarbaraDirección de correo verificada de cs.ucsb.edu
Jianying Hu, Fellow IEEE, FACMI, Fell...IBM Thomas J. Wastson Research CenterDirección de correo verificada de us.ibm.com
Lei YuanEngineering Manager, Machine Learning at FacebookDirección de correo verificada de asu.edu
Thomas S. HuangUniversity of Illinois, Urbana-ChampaignDirección de correo verificada de ifp.uiuc.edu
Shu WangPhD Candidate of Computer Science, Rutgers UniversityDirección de correo verificada de cs.rutgers.edu
Guo-Jun Qi (齐国君), Fellow of IEEE &...Computer Science, University of Central FloridaDirección de correo verificada de ucf.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterDirección de correo verificada de us.ibm.com
George KarypisDistinguished McKnight University Professor, University of MinnesotaDirección de correo verificada de umn.edu

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Jiayu Zhou

Associate Professor at Michigan State University

Dirección de correo verificada de cse.msu.edu - Página principal

Machine Learning Data Mining Biomedical Informatics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Patient subtyping via time-aware LSTM networks IM Baytas, C Xiao, X Zhang, F Wang, AK Jain, J Zhou Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017	532	2017
Differentially private generative adversarial network L Xie, K Lin, S Wang, F Wang, J Zhou arXiv preprint arXiv:1802.06739, 2018	389	2018
Malsar: Multi-task learning via structural regularization J Zhou, J Chen, J Ye Arizona State University 21, 1-50, 2011	377	2011
Efficient large-scale fleet management via multi-agent deep reinforcement learning K Lin, R Zhao, Z Xu, J Zhou Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018	355	2018
Clustered multi-task learning via alternating structure optimization J Zhou, J Chen, J Ye Advances in neural information processing systems 24, 2011	291	2011
A multi-task learning formulation for predicting disease progression J Zhou, L Yuan, J Liu, J Ye Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	251	2011
Graph convolutional networks for computational drug development and discovery M Sun, S Zhao, C Gilvary, O Elemento, J Zhou, F Wang Briefings in bioinformatics 21 (3), 919-935, 2020	243	2020
Integrating low-rank and group-sparse structures for robust multi-task learning J Chen, J Zhou, J Ye Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	243	2011
Transfer learning in deep reinforcement learning: A survey Z Zhu, K Lin, AK Jain, J Zhou arXiv preprint arXiv:2009.07888, 2020	219	2020
Lasso Screening Rules via Dual Polytope Projection J Wang, J Zhou, P Wonka, J Ye NIPS, 2013	218	2013
Data-free knowledge distillation for heterogeneous federated learning Z Zhu, J Hong, J Zhou International Conference on Machine Learning, 12878-12889, 2021	214	2021
Modeling disease progression via fused sparse group lasso J Zhou, J Liu, VA Narayan, J Ye Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	204	2012
Modeling disease progression via multi-task learning J Zhou, J Liu, VA Narayan, J Ye, ... NeuroImage 78, 233-248, 2013	201	2013
Analysis of sampling techniques for imbalanced data: An n= 648 ADNI study R Dubey, J Zhou, Y Wang, PM Thompson, J Ye, ... NeuroImage 87, 220-241, 2014	194	2014
Drug similarity integration through attentive multi-view graph auto-encoders T Ma, C Xiao, J Zhou, F Wang arXiv preprint arXiv:1804.10850, 2018	146	2018
From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records J Zhou, F Wang, J Hu, J Ye Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	141	2014
An rnn architecture with dynamic temporal matching for personalized predictions of parkinson's disease C Che, C Xiao, J Liang, B Jin, J Zho, F Wang Proceedings of the 2017 SIAM international conference on data mining, 198-206, 2017	137	2017
Who, what, when, and where: Multi-dimensional collaborative recommendations using tensor factorization on sparse user-generated data P Bhargava, T Phan, J Zhou, J Lee Proceedings of the 24th international conference on world wide web, 130-140, 2015	135	2015
Missing modalities imputation via cascaded residual autoencoder L Tran, X Liu, J Zhou, R Jin Proceedings of the IEEE conference on computer vision and pattern …, 2017	130	2017
Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimer’s disease L Zhan, J Zhou, Y Wang, Y Jin, N Jahanshad, G Prasad, TM Nir, ... Frontiers in aging neuroscience 7, 48, 2015	129	2015

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