Jiayu Zhou

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Jieping Ye, IEEE Fellow & ACM Distin...Alibaba GroupDirección de correo verificada de umich.edu
Fei Wang, FAMIA, FIAHSI, FACMIProfessor at Cornell UniversityDirección de correo verificada de med.cornell.edu
Kaixiang LinApplied scientist, Amazon AGIDirección de correo verificada de msu.edu
Junyuan HongUniversity of Texas at AustinDirección de correo verificada de utexas.edu
Zhuangdi ZhuGeorge Mason University; Michigan State UniversityDirección de correo verificada de gmu.edu
Anil K. JainMichigan State UniversityDirección de correo verificada de cse.msu.edu
Pang-Ning TanProfessor of Computer Science, Michigan State UniversityDirección de correo verificada de msu.edu
Mengying SunResearch Scientist at MetaDirección de correo verificada de msu.edu
İnci M. BaytaşAssistant Professor at Bogazici UniversityDirección de correo verificada de boun.edu.tr
Zhangyang (Atlas) WangXTX Markets & University of Texas at AustinDirección de correo verificada de utexas.edu
Hiroko H. DodgeMassachusetts General Hospital, Harvard Medical SchoolDirección de correo verificada de mgh.harvard.edu
Cao (Danica) XiaoGE HealthcareDirección de correo verificada de ge.com
Liang ZhanAssociate Professor, Deps. of ECE and BioE, University of PittsburghDirección de correo verificada de pitt.edu
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCDirección de correo verificada de usc.edu
Steve DrewAssistant Professor at University of CalgaryDirección de correo verificada de ucalgary.ca
Fengyi TangAmplitudeDirección de correo verificada de amplitude.com
Yalin WangProfessor 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
Bin ChenMichigan State UniversityDirección de correo verificada de hc.msu.edu
Guoliang XingThe Chinese University of Hong KongDirección de correo verificada de ie.cuhk.edu.hk

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Jiayu Zhou

University of Michigan

Dirección de correo verificada de umich.edu - Página principal

Machine Learning AI + Health 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	689	2017
Differentially private generative adversarial network L Xie, K Lin, S Wang, F Wang, J Zhou arXiv preprint arXiv:1802.06739, 2018	561	2018
Data-free knowledge distillation for heterogeneous federated learning Z Zhu, J Hong, J Zhou International conference on machine learning, 12878-12889, 2021	538	2021
Transfer learning in deep reinforcement learning: A survey Z Zhu, K Lin, AK Jain, J Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023	519	2023
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	462	2018
Malsar: Multi-task learning via structural regularization J Zhou, J Chen, J Ye Arizona State University 21, 1-50, 2011	395	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	353	2020
Clustered multi-task learning via alternating structure optimization J Zhou, J Chen, J Ye Advances in neural information processing systems 24, 2011	321	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	273	2011
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	255	2011
Lasso Screening Rules via Dual Polytope Projection J Wang, J Zhou, P Wonka, J Ye NIPS, 2013	244	2013
Modeling disease progression via multi-task learning J Zhou, J Liu, VA Narayan, J Ye, ... NeuroImage 78, 233-248, 2013	229	2013
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	227	2012
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	226	2014
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	201	2017
Drug similarity integration through attentive multi-view graph auto-encoders T Ma, C Xiao, J Zhou, F Wang arXiv preprint arXiv:1804.10850, 2018	189	2018
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	153	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	152	2015
GCN-MF: disease-gene association identification by graph convolutional networks and matrix factorization P Han, P Yang, P Zhao, S Shang, Y Liu, J Zhou, X Gao, P Kalnis Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019	151	2019
Clusterfl: a similarity-aware federated learning system for human activity recognition X Ouyang, Z Xie, J Zhou, J Huang, G Xing Proceedings of the 19th Annual International Conference on Mobile Systems …, 2021	150	2021

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