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
722018
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
612016
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, 928-936, 2016
542016
Scalable nonparametric multiway data analysis
S Zhe, Z Xu, X Chu, Y Qi, Y Park
Artificial Intelligence and Statistics, 1125-1134, 2015
402015
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
222016
Asynchronous distributed variational Gaussian process for regression
H Peng, S Zhe, X Zhang, Y Qi
International Conference on Machine Learning, 2788-2797, 2017
212017
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
142018
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
Probabilistic streaming tensor decomposition
Y Du, Y Zheng, K Lee, S Zhe
2018 IEEE International Conference on Data Mining (ICDM), 99-108, 2018
132018
Scalable high-order gaussian process regression
S Zhe, W Xing, RM Kirby
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
122019
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
122013
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
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
Bayesian maximum margin principal component analysis
C Du, S Zhe, F Zhuang, Y Qi, Q He, Z Shi
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
92015
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
82020
Physics regularized gaussian processes
Z Wang, W Xing, R Kirby, S Zhe
arXiv preprint arXiv:2006.04976, 2020
72020
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
62018
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
Annealed sparsity via adaptive and dynamic shrinking
K Zhang, S Zhe, C Cheng, Z Wei, Z Chen, H Chen, G Jiang, Y Qi, J Ye
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
62016
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