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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
972018
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
692016
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
572016
Scalable nonparametric multiway data analysis
S Zhe, Z Xu, X Chu, Y Qi, Y Park
Artificial Intelligence and Statistics, 1125-1134, 2015
422015
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
362021
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
272021
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
252016
Scalable high-order gaussian process regression
S Zhe, W Xing, RM Kirby
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
222019
Asynchronous distributed variational Gaussian process for regression
H Peng, S Zhe, X Zhang, Y Qi
International Conference on Machine Learning, 2788-2797, 2017
222017
Probabilistic streaming tensor decomposition
Y Du, Y Zheng, K Lee, S Zhe
2018 IEEE International Conference on Data Mining (ICDM), 99-108, 2018
192018
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
162018
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
152020
Block-term tensor neural networks
J Ye, G Li, D Chen, H Yang, S Zhe, Z Xu
Neural Networks 130, 11-21, 2020
142020
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
142013
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
Physics regularized gaussian processes
Z Wang, W Xing, R Kirby, S Zhe
arXiv preprint arXiv:2006.04976, 2020
112020
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
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
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
102015
Stochastic nonparametric event-tensor decomposition
S Zhe, Y Du
Advances in Neural Information Processing Systems 31, 2018
92018
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