Shandian Zhe

According to our database1, Shandian Zhe authored at least 24 papers between 2010 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Data-driven resource flexing for network functions visualization.
Proceedings of the 2018 Symposium on Architectures for Networking and Communications Systems, 2018

2017
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition.
CoRR, 2017

DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates.
Bioinformatics, 2017

Learning from semantically dependent multi-tasks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Asynchronous Distributed Variational Gaussian Process for Regression.
Proceedings of the 34th International Conference on Machine Learning, 2017

Scalable Nonparametric Tensor Analysis.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Association Discovery and Diagnosis of Alzheimer's Disease with Bayesian Multiview Learning.
J. Artif. Intell. Res., 2016

SWATShare - A web platform for collaborative research and education through online sharing, simulation and visualization of SWAT models.
Environmental Modelling and Software, 2016

Distributed Flexible Nonlinear Tensor Factorization.
CoRR, 2016

Bayesian Group Feature Selection for Support Vector Learning Machines.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Distributed Flexible Nonlinear Tensor Factorization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Annealed Sparsity via Adaptive and Dynamic Shrinking.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Scalable Nonparametric Multiway Data Analysis.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Bayesian Maximum Margin Principal Component Analysis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Joint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

2013
Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis
CoRR, 2013

DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements.
CoRR, 2013

Joint network and node selection for pathway-based genomic data analysis.
Bioinformatics, 2013

2011
Conditional Random Fields for Machine Translation System Combination.
Int. J. of Asian Lang. Proc., 2011

2010
Modeling Users' Information Goal Transitions and Satisfaction Judgment: Understanding the Full Search Process.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Conditional Random Fields for Machine Translation System Combination.
Proceedings of the International Conference on Asian Language Processing, 2010


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