135 citations · 219 across the 18 of their papers we have counts for
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cs.LG2023
Streaming data recovery via Bayesian tensor train decomposition
Yunyu Huang, Yani Feng, Qifeng Liao
In this paper, we study a Bayesian tensor train (TT) decomposition method to recover streaming data by approximating the latent structure in high-order streaming data. Drawing on t…
cs.LG2022
Deep neural network based adaptive learning for switched systems
Junjie He, Zhihang Xu, Qifeng Liao
In this paper, we present a deep neural network based adaptive learning (DNN-AL) approach for switched systems. Currently, deep neural network based methods are actively developed…
cs.LG2019★ 135 cited
D3M: A deep domain decomposition method for partial differential equations
Ke Li, Kejun Tang, Tianfan Wu +1
A state-of-the-art deep domain decomposition method (D3M) based on the variational principle is proposed for partial differential equations (PDEs). The solution of PDEs can be form…