35 citations · 71 across the 10 of their papers we have counts for
10 papers
KAM -- a Kernel Attention Module for Emotion Classification with EEG Data
Dongyang Kuang, Craig Michoski
In this work, a kernel attention module is presented for the task of EEG-based emotion classification with neural networks. The proposed module utilizes a self-attention mechanism…
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data
Dongyang Kuang, Craig Michoski, Wenting Li +1
In this work, a parameter-efficient attention module is presented for emotion classification using a limited, or relatively small, number of electroencephalogram (EEG) signals. Thi…
Reduced models for ETG transport in the pedestal
David R. Hatch, Craig Michoski, Dongyang Kuang +10
This paper reports on the development of reduced models for electron temperature gradient (ETG) driven transport in the pedestal. Model development is enabled by a set of 61 nonlin…
A 1d convolutional network for leaf and time series classification
Dongyang Kuang
In this paper, a 1d convolutional neural network is designed for classification tasks of plant leaves. This network based classifier is analyzed in two directions. In the forward d…
On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks
Dongyang Kuang
Image registration is a fundamental step in medical image analysis. Ideally, the transformation that registers one image to another should be a diffeomorphism that is both invertib…
FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration
Dongyang Kuang, Tanya Schmah
We present a new unsupervised learning algorithm, "FAIM", for 3D medical image registration. With a different architecture than the popular "U-net", the network takes a pair of ful…
A landmark-based algorithm for automatic pattern recognition and abnormality detection
S. Huzurbazar, Long Lee, Dongyang Kuang
We study a class of mathematical and statistical algorithms with the aim of establishing a computer-based framework for fast and reliable automatic abnormality detection on landmar…
A class of fast geodesic shooting algorithms for template matching and its applications via the -particle system of the Euler-Poincaré equations
Roberto Camassa, Dongyang Kuang, Long Lee
The Euler-Poincaré (EP) equations describe the geodesic motion on the diffeomorphism group. For template matching (template deformation), the Euler-Lagrangian equation, arising fro…
Solitary waves and -particle algorithms for a class of Euler-Poincaré equations
Roberto Camassa, Dongyang Kuang, Long Lee
We study a class of partial differential equations (PDEs) in the family of the so-called Euler-Poincaré differential systems, with the aim of developing a foundation for numerical…
A conservation formulation and a numerical algorithm for the double-gyre nonlinear shallow-water model
Dongyang Kuang, Long Lee
We present a conservation formulation and a numerical algorithm for the reduced-gravity shallow-water equations on a beta plane, subjected to a constant wind forcing that leads to…