Dongyang Kuang

21 papers Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Commuting Distance Regularization for Timescale-Dependent Label Inconsistency in EEG Emotion Recognition.
CoRR
Xiaocong Zeng, Craig Michoski, Yan Pang, Dongyang Kuang
2025 J jnl
Online Self-Distillation and Self-Modeling for 3D Brain Tumor Segmentation.
IEEE J. Biomed. Health Informatics
Yan Pang, Yunhao Li, Teng Huang, Jiaming Liang, Zhen Wang, Changyu Dong, Dongyang Kuang, Ying Hu, Hao Chen, Tim C. Lei, Qiong Wang
2025 J jnl
Parameter-efficient hierarchical spatio-temporal graph network with specialized label smoothing for qualitative EEG emotion recognition.
Neurocomputing
Dongyang Kuang, Xinyue Song, Craig Michoski
2025 J jnl
The Data Fusion Labeler (dFL): Challenges and Solutions to Data Harmonization, Labeling, and Provenance in Fusion Energy.
CoRR
Craig Michoski, Matthew Waller, Brian Sammuli, Zeyu Li, Tapan Ganatma Nakkina, Raffi Nazikian, Sterling Paul Smith, David Orozco, Dongyang Kuang, Martin Foltin, Erik Olofsson, Mike Fredrickson, Jerry Louis-Jeune, David R. Hatch, Todd A. Oliver, Mitchell Clark, Steph-Yves Louis
2024 — conf
A Hierarchical Diffusion-Convolutional Network with Node-wise Localization for EEG-NIRS-based Brain-Computer Interface.
BCI
Wentao Huang, Xinyue Song, Dongyang Kuang
2024 J jnl
Attention with kernels for EEG-based emotion classification.
Neural Comput. Appl.
Dongyang Kuang, Craig Michoski
2024 J jnl
Emotion Classification from Multi-Channel EEG Signals Using HiSTN: A Hierarchical Graph-based Spatial-Temporal Approach.
CoRR
Dongyang Kuang, Xinyue Song, Craig Michoski
2023 J jnl
From gram to attention matrices: a monotonicity constrained method for eeg-based emotion classification.
Appl. Intell.
Dongyang Kuang, Craig Michoski, Wenting Li, Rui Guo
2023 J jnl
SEER-net: Simple EEG-based Recognition network.
Biomed. Signal Process. Control.
Dongyang Kuang, Craig Michoski
2022 — conf
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data.
MILLanD@MICCAI
Dongyang Kuang, Craig Michoski, Wenting Li, Rui Guo
2022 J jnl
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data.
CoRR
Dongyang Kuang, Craig Michoski, Wenting Li, Rui Guo
2022 — conf
KAM - A Kernel Attention Module for Emotion Classification with EEG Data.
iMIMIC@MICCAI
Dongyang Kuang, Craig Michoski
2022 J jnl
KAM - a Kernel Attention Module for Emotion Classification with EEG Data.
CoRR
Dongyang Kuang, Craig Michoski
2019 J jnl
A 1d convolutional network for leaf and time series classification.
CoRR
Dongyang Kuang
2019 — conf
Cycle-Consistent Training for Reducing Negative Jacobian Determinant in Deep Registration Networks.
SASHIMI@MICCAI
Dongyang Kuang
2019 — conf
FAIM - A ConvNet Method for Unsupervised 3D Medical Image Registration.
MLMI@MICCAI
Dongyang Kuang, Tanya Schmah
2019 J jnl
Landmark-based algorithms for group average and pattern recognition.
Pattern Recognit.
Snehalata V. Huzurbazar, Dongyang Kuang, Long Lee
2019 J jnl
On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks.
CoRR
Dongyang Kuang
2018 J jnl
FAIM - A ConvNet Method for Unsupervised 3D Medical Image Registration.
CoRR
Dongyang Kuang, Tanya Schmah
2017 J jnl
A Geodesic Landmark Shooting Algorithm for Template Matching and Its Applications.
SIAM J. Imaging Sci.
Roberto Camassa, Dongyang Kuang, Long Lee
2016 J jnl
A landmark-based algorithm for automatic pattern recognition and abnormality detection.
CoRR
Snehalata V. Huzurbazar, Long Lee, Dongyang Kuang