Jiayu Zhou

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Jieping Ye, IEEE Fellow & ACM Distin...Alibaba GroupVerified email at umich.edu
Fei Wang, FAMIA, FIAHSI, FACMIProfessor at Cornell UniversityVerified email at med.cornell.edu
Kaixiang LinApplied scientist, Amazon AGIVerified email at msu.edu
Junyuan (Jason) HongUniversity of Texas at AustinVerified email at utexas.edu
Zhuangdi ZhuGeorge Mason University; Michigan State UniversityVerified email at gmu.edu
Anil K. JainMichigan State UniversityVerified email at cse.msu.edu
Pang-Ning TanProfessor of Computer Science, Michigan State UniversityVerified email at msu.edu
Mengying SunResearch Scientist at MetaVerified email at msu.edu
Zhangyang (Atlas) WangXTX Markets & University of Texas at AustinVerified email at utexas.edu
Hiroko H. DodgeMassachusetts General Hospital, Harvard Medical SchoolVerified email at mgh.harvard.edu
İnci M. BaytaşAssistant Professor at Bogazici UniversityVerified email at boun.edu.tr
Cao (Danica) XiaoGE HealthcareVerified email at ge.com
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
Steve DrewAssistant Professor at University of CalgaryVerified email at ucalgary.ca
Fengyi TangAmplitudeVerified email at amplitude.com
Yalin WangProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Bin ChenMichigan State UniversityVerified email at hc.msu.edu
Guoliang XingThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Xiaomin OuyangDepartment of Computer Science and Engineering, HKUSTVerified email at cse.ust.hk

Jiayu Zhou

University of Michigan

Verified email at umich.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	741	2017
Data-free knowledge distillation for heterogeneous federated learning Z Zhu, J Hong, J Zhou International conference on machine learning, 12878-12889, 2021	679	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	653	2023
Differentially private generative adversarial network L Xie, K Lin, S Wang, F Wang, J Zhou arXiv preprint arXiv:1802.06739, 2018	618	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	492	2018
Malsar: Multi-task learning via structural regularization J Zhou, J Chen, J Ye Arizona State University 21, 1-50, 2011	400	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	380	2020
Clustered multi-task learning via alternating structure optimization J Zhou, J Chen, J Ye Advances in neural information processing systems 24, 2011	327	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	282	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	261	2011
Lasso Screening Rules via Dual Polytope Projection J Wang, J Zhou, P Wonka, J Ye NIPS, 2013	246	2013
Modeling disease progression via multi-task learning J Zhou, J Liu, VA Narayan, J Ye, ... NeuroImage 78, 233-248, 2013	242	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	239	2014
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	230	2012
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	224	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	199	2018
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	191	2021
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	161	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	158	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	155	2019

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