Shandian Zhe
Shandian Zhe
School of Computing, University of Utah
Verified email at cs.utah.edu - Homepage
Title
Cited by
Cited by
Year
Learning compact recurrent neural networks with block-term tensor decomposition
J Ye, L Wang, G Li, D Chen, S Zhe, X Chu, Z Xu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
632018
SWATShare–A web platform for collaborative research and education through online sharing, simulation and visualization of SWAT models
MA Rajib, V Merwade, IL Kim, L Zhao, C Song, S Zhe
Environmental Modelling & Software 75, 498-512, 2016
562016
Distributed flexible nonlinear tensor factorization
S Zhe, K Zhang, P Wang, K Lee, Z Xu, Y Qi, Z Ghahramani
arXiv preprint arXiv:1604.07928, 2016
492016
Scalable nonparametric multiway data analysis
S Zhe, Z Xu, X Chu, Y Qi, Y Park
Artificial Intelligence and Statistics, 1125-1134, 2015
392015
Dintucker: Scaling up gaussian process models on large multidimensional arrays
S Zhe, Y Qi, Y Park, Z Xu, I Molloy, S Chari
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
212016
Asynchronous distributed variational Gaussian process for regression
H Peng, S Zhe, X Zhang, Y Qi
International Conference on Machine Learning, 2788-2797, 2017
202017
Joint network and node selection for pathway-based genomic data analysis
S Zhe, SAZ Naqvi, Y Yang, Y Qi
Bioinformatics 29 (16), 1987-1996, 2013
132013
Probabilistic streaming tensor decomposition
Y Du, Y Zheng, K Lee, S Zhe
2018 IEEE International Conference on Data Mining (ICDM), 99-108, 2018
112018
Sparse bayesian multiview learning for simultaneous association discovery and diagnosis of alzheimer's disease
S Zhe, Z Xu, Y Qi, P Yu
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
112015
Joint association discovery and diagnosis of Alzheimer's disease by supervised heterogeneous multiview learning
S Zhe, Z Xu, Y Qi, P Yu
Biocomputing 2014, 300-311, 2014
112014
Dintucker: Scaling up gaussian process models on multidimensional arrays with billions of elements
S Zhe, Y Qi, Y Park, I Molloy, S Chari
arXiv preprint arXiv:1311.2663, 2013
112013
Scalable high-order gaussian process regression
S Zhe, W Xing, RM Kirby
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
102019
Neuralcp: Bayesian multiway data analysis with neural tensor decomposition
B Liu, L He, Y Li, S Zhe, Z Xu
Cognitive Computation 10 (6), 1051-1061, 2018
102018
Association Discovery and Diagnosis of Alzheimer s Disease with Bayesian Multiview Learning
Z Xu, S Zhe, Y Qi, P Yu
Journal of Artificial Intelligence Research 56, 247-268, 2016
102016
Bayesian maximum margin principal component analysis
C Du, S Zhe, F Zhuang, Y Qi, Q He, Z Shi
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
92015
Variational random function model for network modeling
Z Xu, B Liu, S Zhe, H Bai, Z Wang, J Neville
IEEE transactions on neural networks and learning systems 30 (1), 318-324, 2018
62018
Physics regularized gaussian processes
Z Wang, W Xing, R Kirby, S Zhe
arXiv preprint arXiv:2006.04976, 2020
52020
Macroscopic traffic flow modeling with physics regularized gaussian process: A new insight into machine learning applications
Y Yuan, XT Yang, Z Zhang, S Zhe
arXiv preprint arXiv:2002.02374, 2020
52020
Data-driven resource flexing for network functions visualization
L Cao, S Fahmy, P Sharma, S Zhe
Proceedings of the 2018 Symposium on Architectures for Networking and …, 2018
52018
Learning from semantically dependent multi-tasks
B Liu, Z Xu, B Dai, H Bai, X Fang, Y Ren, S Zhe
2017 International Joint Conference on Neural Networks (IJCNN), 3498-3505, 2017
52017
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