Jiayu Zhou
TitleCited byYear
Malsar: Multi-task learning via structural regularization
J Zhou, J Chen, J Ye
Arizona State University 21, 2011
2622011
Clustered multi-task learning via alternating structure optimization
J Zhou, J Chen, J Ye
Advances in neural information processing systems, 702-710, 2011
2092011
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
1932011
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
1722011
Lasso Screening Rules via Dual Polytope Projection
J Wang, J Zhou, P Wonka, J Ye
NIPS, 2013
1292013
Modeling disease progression via multi-task learning
J Zhou, J Liu, VA Narayan, J Ye, ...
NeuroImage 78, 233-248, 2013
1232013
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
1162012
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
1132017
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
1092014
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
942014
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
802015
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
702015
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
482017
Learning a task-specific deep architecture for clustering
Z Wang, S Chang, J Zhou, M Wang, TS Huang
Proceedings of the 2016 SIAM International Conference on Data Mining, 369-377, 2016
462016
Factorized Similarity Learning in Networks
S Chang, GJ Qi, CC Aggarwal, J Zhou, M Wang, TS Huang
Data Mining (ICDM), 2014 IEEE 14th International Conference on, 2014
442014
A safe screening rule for sparse logistic regression
J Wang, J Zhou, J Liu, P Wonka, J Ye
Advances in neural information processing systems, 1053-1061, 2014
402014
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
392018
Efficient multi-task feature learning with calibration
P Gong, J Zhou, W Fan, J Ye
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
352014
Differentially private generative adversarial network
L Xie, K Lin, S Wang, F Wang, J Zhou
arXiv preprint arXiv:1802.06739, 2018
332018
Active matrix completion
S Chakraborty, J Zhou, V Balasubramanian, S Panchanathan, I Davidson, ...
2013 IEEE 13th International Conference on Data Mining, 81-90, 2013
312013
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Articles 1–20