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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
1082018
Characterizing possible failure modes in physics-informed neural networks
A Krishnapriyan, A Gholami, S Zhe, R Kirby, MW Mahoney
Advances in Neural Information Processing Systems 34, 26548-26560, 2021
1022021
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
722016
Distributed flexible nonlinear tensor factorization
S Zhe, K Zhang, P Wang, K Lee, Z Xu, Y Qi, Z Ghahramani
Advances in neural information processing systems 29, 2016
592016
Scalable nonparametric multiway data analysis
S Zhe, Z Xu, X Chu, Y Qi, Y Park
Artificial Intelligence and Statistics, 1125-1134, 2015
442015
Macroscopic traffic flow modeling with physics regularized Gaussian process: A new insight into machine learning applications in transportation
Y Yuan, Z Zhang, XT Yang, S Zhe
Transportation Research Part B: Methodological 146, 88-110, 2021
382021
Dintucker: Scaling up gaussian process models on large multidimensional arrays
S Zhe, Y Qi, Y Park, Z Xu, I Molloy, S Chari
Thirtieth AAAI conference on artificial intelligence, 2016
272016
Scalable high-order gaussian process regression
S Zhe, W Xing, RM Kirby
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
242019
Asynchronous distributed variational Gaussian process for regression
H Peng, S Zhe, X Zhang, Y Qi
International Conference on Machine Learning, 2788-2797, 2017
242017
Probabilistic streaming tensor decomposition
Y Du, Y Zheng, K Lee, S Zhe
2018 IEEE International Conference on Data Mining (ICDM), 99-108, 2018
222018
Multi-fidelity Bayesian optimization via deep neural networks
S Li, W Xing, R Kirby, S Zhe
Advances in Neural Information Processing Systems 33, 8521-8531, 2020
202020
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
192018
Block-term tensor neural networks
J Ye, G Li, D Chen, H Yang, S Zhe, Z Xu
Neural Networks 130, 11-21, 2020
162020
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
152013
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
142013
Physics regularized gaussian processes
Z Wang, W Xing, R Kirby, S Zhe
arXiv preprint arXiv:2006.04976, 2020
132020
Stochastic nonparametric event-tensor decomposition
S Zhe, Y Du
Advances in Neural Information Processing Systems 31, 2018
122018
Multifidelity modeling for physics-informed neural networks (pinns)
M Penwarden, S Zhe, A Narayan, RM Kirby
Journal of Computational Physics 451, 110844, 2022
112022
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
112016
Sparse bayesian multiview learning for simultaneous association discovery and diagnosis of alzheimer's disease
S Zhe, Z Xu, Y Qi, P Yu
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
112015
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