Jiayu Zhou
Jiayu Zhou
Associate Professor at Michigan State University
Verified email at - Homepage
Cited by
Cited by
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
Malsar: Multi-task learning via structural regularization
J Zhou, J Chen, J Ye
Arizona State University 21, 1-50, 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
Differentially private generative adversarial network
L Xie, K Lin, S Wang, F Wang, J Zhou
arXiv preprint arXiv:1802.06739, 2018
Clustered multi-task learning via alternating structure optimization
J Zhou, J Chen, J Ye
Advances in neural information processing systems 24, 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
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
Lasso Screening Rules via Dual Polytope Projection
J Wang, J Zhou, P Wonka, J Ye
NIPS, 2013
Modeling disease progression via multi-task learning
J Zhou, J Liu, VA Narayan, J Ye, ...
NeuroImage 78, 233-248, 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
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
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
Transfer learning in deep reinforcement learning: A survey
Z Zhu, K Lin, J Zhou
arXiv preprint arXiv:2009.07888, 2020
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
Drug similarity integration through attentive multi-view graph auto-encoders
T Ma, C Xiao, J Zhou, F Wang
arXiv preprint arXiv:1804.10850, 2018
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
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
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
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
Data-free knowledge distillation for heterogeneous federated learning
Z Zhu, J Hong, J Zhou
International Conference on Machine Learning, 12878-12889, 2021
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