Jiayu Zhou

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Jieping Ye, IEEE Fellow & ACM Distin...Alibaba GroupVerified email at umich.edu
Fei Wang, FAMIA, FIAHSI, FACMIAssociate Professor at Cornell UniversityVerified email at med.cornell.edu
Kaixiang LinApplied scientist, Amazon Web ServicesVerified email at msu.edu
Junyuan HongUniversity of Texas at AustinVerified email at utexas.edu
Anil K. JainMichigan State UniversityVerified email at cse.msu.edu
Pang-Ning TanProfessor of Computer Science, Michigan State UniversityVerified email at msu.edu
Zhuangdi ZhuGeorge Mason University (incoming); Microsoft; Michigan State UniversityVerified email at msu.edu
Mengying SunResearch Scientist at MetaVerified email at msu.edu
Fengyi TangAmplitudeVerified email at amplitude.com
İnci M. BaytaşAssistant Professor at Bogazici UniversityVerified email at boun.edu.tr
Cao (Danica) XiaoGE HealthcareVerified email at ge.com
Zhangyang (Atlas) WangUniversity of Texas at Austin & Picsart AI ResearchVerified email at utexas.edu
Hiroko H. DodgeMassachusetts General Hospital, Harvard Medical SchoolVerified email at mgh.harvard.edu
Liang ZhanAssociate Professor, Deps. of ECE and BioE, University of PittsburghVerified email at pitt.edu
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCVerified email at usc.edu
Yalin WangProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Shiyu ChangUniversity of California, Santa BarbaraVerified email at cs.ucsb.edu
Boyang Liumichigan state universityVerified email at msu.edu
Jianying Hu, Fellow IEEE, FACMI, Fell...IBM Thomas J. Wastson Research CenterVerified email at us.ibm.com
Guoliang XingThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk

Jiayu Zhou

Associate Professor at Michigan State University

Verified email at cse.msu.edu - Homepage

Machine Learning AI + Health Informatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	616	2017
Differentially private generative adversarial network L Xie, K Lin, S Wang, F Wang, J Zhou arXiv preprint arXiv:1802.06739, 2018	465	2018
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	396	2018
Malsar: Multi-task learning via structural regularization J Zhou, J Chen, J Ye Arizona State University 21, 1-50, 2011	387	2011
Data-free knowledge distillation for heterogeneous federated learning Z Zhu, J Hong, J Zhou International conference on machine learning, 12878-12889, 2021	341	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	318	2023
Clustered multi-task learning via alternating structure optimization J Zhou, J Chen, J Ye Advances in neural information processing systems 24, 2011	302	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	283	2020
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	259	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	252	2011
Lasso Screening Rules via Dual Polytope Projection J Wang, J Zhou, P Wonka, J Ye NIPS, 2013	233	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	212	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	209	2014
Modeling disease progression via multi-task learning J Zhou, J Liu, VA Narayan, J Ye, ... NeuroImage 78, 233-248, 2013	209	2013
Drug similarity integration through attentive multi-view graph auto-encoders T Ma, C Xiao, J Zhou, F Wang arXiv preprint arXiv:1804.10850, 2018	165	2018
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	154	2017
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	143	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	142	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	140	2015
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	139	2015

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