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
502018
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
502016
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, 928-936, 2016
432016
Scalable nonparametric multiway data analysis
S Zhe, Z Xu, X Chu, Y Qi, Y Park
Artificial Intelligence and Statistics, 1125-1134, 2015
362015
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
202016
Asynchronous distributed variational Gaussian process for regression
H Peng, S Zhe, X Zhang, Y Qi
International Conference on Machine Learning, 2788-2797, 2017
182017
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
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
Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease.
S Zhe, Z Xu, Y Qi, P Yu
AAAI, 1966-1972, 2015
102015
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
102014
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
92016
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
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
82018
Probabilistic streaming tensor decomposition
Y Du, Y Zheng, K Lee, S Zhe
2018 IEEE International Conference on Data Mining (ICDM), 99-108, 2018
82018
Scalable high-order gaussian process regression
S Zhe, W Xing, RM Kirby
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
72019
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
52018
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
52016
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
42018
Stochastic nonparametric event-tensor decomposition
S Zhe, Y Du
Advances in Neural Information Processing Systems, 6856-6866, 2018
42018
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
42017
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