Suivre
Dongyang Kuang
Titre
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Année
Faim–a convnet method for unsupervised 3d medical image registration
D Kuang, T Schmah
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
111*2019
A 1d convolutional network for leaf and time series classification
D Kuang
https://arxiv.org/abs/1907.00069, 2018
111*2018
Kinetics and mechanism of CO2 gasification of coal catalyzed by Na2CO3, FeCO3 and Na2CO3–FeCO3
B Xu, Q Cao, D Kuang, KAM Gasem, H Adidharma, D Ding, M Fan
Journal of the Energy Institute 93 (3), 922-933, 2020
412020
Predicting kinetic triplets using a 1d convolutional neural network
D Kuang, B Xu
Thermochimica acta 669, 8-15, 2018
312018
Cycle-consistent training for reducing negative jacobian determinant in deep registration networks
D Kuang
Simulation and Synthesis in Medical Imaging: 4th International Workshop …, 2019
27*2019
Reduced models for ETG transport in the tokamak pedestal
DR Hatch, C Michoski, D Kuang, B Chapman-Oplopoiou, M Curie, ...
Physics of Plasmas 29 (6), 2022
152022
Characterization of Powder River Basin coal pyrolysis with cost-effective and environmentally-friendly composite NaFe catalysts in a thermogravimetric analyzer and a fixed-bed …
B Xu, D Kuang, F Liu, W Lu, AK Goroncy, T He, K Gasem, M Fan
international journal of hydrogen energy 43 (14), 6918-6935, 2018
152018
A Geodesic Landmark Shooting Algorithm for Template Matching and Its Applications
R Camassa, D Kuang, L Lee
SIAM Journal on Imaging Sciences 10 (1), 303-334, 2017
102017
SEER-net: Simple EEG-based Recognition network
D Kuang, C Michoski
Biomedical Signal Processing and Control 83, 104620, 2023
62023
Solitary Waves and N‐Particle Algorithms for a Class of Euler–Poincaré Equations
R Camassa, D Kuang, L Lee
Studies in Applied Mathematics 137 (4), 502-546, 2016
62016
Landmark-based algorithms for group average and pattern recognition
S Huzurbazar, D Kuang, L Lee
Pattern Recognition 86, 172-187, 2019
5*2019
KAM-A kernel attention module for emotion classification with EEG data
D Kuang, C Michoski
International Workshop on Interpretability of Machine Intelligence in …, 2022
22022
Dual stream neural networks for brain signal classification [J]
K Dongyang, C MICHOSKI
Journal of Neural Engineering 18 (1), 016006, 2021
22021
Some optional methods of activation energy determination on pyrolysis
B Xu, D Kuang
Kinetics and Catalysis 60 (2), 137-146, 2019
22019
A conservation formulation and a numerical algorithm for the double-gyre nonlinear shallow-water model
D Kuang, L Lee
Numerical Mathematics: Theory, Methods and Applications 8 (4), pp 634-650, 2015
22015
A monotonicity constrained attention module for emotion classification with limited EEG data
D Kuang, C Michoski, W Li, R Guo
Workshop on Medical Image Learning with Limited and Noisy Data, 218-228, 2022
12022
Dual stream neural networks for brain signal classification
D Kuang, C Michoski
Journal of Neural Engineering, 2020
12020
Attention with kernels for EEG-based emotion classification
D Kuang, C Michoski
Neural Computing and Applications 36 (10), 5251-5266, 2024
2024
A Hierarchical Diffusion-Convolutional Network with Node-wise Localization for EEG-NIRS-based Brain-Computer Interface
W Huang, X Song, D Kuang
2024 12th International Winter Conference on Brain-Computer Interface (BCI), 1-6, 2024
2024
From gram to attention matrices: a monotonicity constrained method for eeg-based emotion classification
D Kuang, C Michoski, W Li, R Guo
Applied Intelligence 53 (18), 20690-20709, 2023
2023
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