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Deep Multi-Fidelity Active Learning of High-dimensional Outputs

Dec 02, 2020
Shibo Li, Robert M. Kirby, Shandian Zhe


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Block-term Tensor Neural Networks

Oct 10, 2020
Jinmian Yea, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu

* Neural Networks, 2020 
* 12 pages, 15 figures 

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Streaming Probabilistic Deep Tensor Factorization

Jul 14, 2020
Shikai Fang, Zheng Wang, Zhimeng Pan, Ji Liu, Shandian Zhe


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Multi-Fidelity Bayesian Optimization via Deep Neural Networks

Jul 08, 2020
Shibo Li, Wei Xing, Mike Kirby, Shandian Zhe


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Physics Regularized Gaussian Processes

Jun 08, 2020
Zheng Wang, Wei Xing, Robert Kirby, Shandian Zhe


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Multi-Fidelity High-Order Gaussian Processes for Physical Simulation

Jun 08, 2020
Zheng Wang, Wei Xing, Robert Kirby, Shandian Zhe


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Scalable Variational Gaussian Process Regression Networks

Mar 25, 2020
Shibo Li, Wei Xing, Mike Kirby, Shandian Zhe


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Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications

Feb 06, 2020
Yun Yuan, Xianfeng Terry Yang, Zhao Zhang, Shandian Zhe

* 30 pages, 13 figures 

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Conditional Expectation Propagation

Nov 08, 2019
Zheng Wang, Shandian Zhe

* 10 pages, 5 figures, UAI 2019 

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Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition

May 11, 2018
Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu

* CVPR2018 

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Asynchronous Distributed Variational Gaussian Processes for Regression

Jun 12, 2017
Hao Peng, Shandian Zhe, Yuan Qi

* International Conference on Machine Learning 2017 

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Distributed Flexible Nonlinear Tensor Factorization

May 22, 2016
Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani

* Gaussian process, tensor factorization, multidimensional arrays, large scale, spark, map-reduce 

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DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements

Feb 01, 2014
Shandian Zhe, Yuan Qi, Youngja Park, Ian Molloy, Suresh Chari


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Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis

Oct 16, 2013
Shandian Zhe, Zenglin Xu, Yuan Qi


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