12 citations · 27 across the 12 of their papers we have counts for
6 papers · 1 filter
Stochastic Training of Residual Networks: a Differential Equation Viewpoint
Qi Sun, Yunzhe Tao, Qiang Du
During the last few years, significant attention has been paid to the stochastic training of artificial neural networks, which is known as an effective regularization approach that…
Stochastic representation of solution to nonlocal-in-time diffusion
Qiang Du, Lorenzo Toniazzi, Zhi Zhou
The aim of this paper is to give a stochastic representation for the solution to a natural extension of the Caputo-type evolution equation. The nonlocal-in-time operator is defined…
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction
Yunzhe Tao, Lin Ma, Weizhong Zhang +3
Time series prediction has been studied in a variety of domains. However, it is still challenging to predict future series given historical observations and past exogenous data. Ex…
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
Yunzhe Tao, Qi Sun, Qiang Du +1
Nonlocal neural networks have been proposed and shown to be effective in several computer vision tasks, where the nonlocal operations can directly capture long-range dependencies i…
Mathematics of Smoothed Particle Hydrodynamics: a Study via Nonlocal Stokes Equations
Qiang Du, Xiaochuan Tian
Smoothed Particle Hydrodynamics (SPH) is a popular numerical technique developed for simulating complex fluid flows. Among its key ingredients is the use of nonlocal integral relax…
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
Li Wang, Junlin Yao, Yunzhe Tao +3
In this paper, we propose a deep learning approach to tackle the automatic summarization tasks by incorporating topic information into the convolutional sequence-to-sequence (ConvS…