Dongyang Kuang

According to our database, Dongyang Kuang authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Attention with kernels for EEG-based emotion classification.

Dongyang Kuang, Craig Michoski

Neural Comput. Appl., April, 2024

Emotion Classification from Multi-Channel EEG Signals Using HiSTN: A Hierarchical Graph-based Spatial-Temporal Approach.

Dongyang Kuang, Xinyue Song, Craig Michoski

CoRR, 2024

A Hierarchical Diffusion-Convolutional Network with Node-wise Localization for EEG-NIRS-based Brain-Computer Interface.

Wentao Huang, Xinyue Song, Dongyang Kuang

Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

2023

From gram to attention matrices: a monotonicity constrained method for eeg-based emotion classification.

Dongyang Kuang, Craig Michoski, Wenting Li, Rui Guo

Appl. Intell., September, 2023

SEER-net: Simple EEG-based Recognition network.

Dongyang Kuang, Craig Michoski

Biomed. Signal Process. Control., May, 2023

2022

A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data.

Dongyang Kuang, Craig Michoski, Wenting Li, Rui Guo

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

KAM - A Kernel Attention Module for Emotion Classification with EEG Data.

Dongyang Kuang, Craig Michoski

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

2019

Landmark-based algorithms for group average and pattern recognition.

Snehalata V. Huzurbazar, Dongyang Kuang, Long Lee

Pattern Recognit., 2019

A 1d convolutional network for leaf and time series classification.

Dongyang Kuang

CoRR, 2019

On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks.

Dongyang Kuang

CoRR, 2019

FAIM - A ConvNet Method for Unsupervised 3D Medical Image Registration.

Dongyang Kuang, Tanya Schmah

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Cycle-Consistent Training for Reducing Negative Jacobian Determinant in Deep Registration Networks.

Dongyang Kuang

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

2017

A Geodesic Landmark Shooting Algorithm for Template Matching and Its Applications.

Roberto Camassa, Dongyang Kuang, Long Lee

SIAM J. Imaging Sci., 2017

2016

A landmark-based algorithm for automatic pattern recognition and abnormality detection.

Snehalata V. Huzurbazar, Long Lee, Dongyang Kuang

CoRR, 2016