We stand with Ukraine

We stand with Ukraine

Xunde Dong

Orcid: 0000-0001-8688-2662

Affiliations:

South China University of Technology, Guangzhou, Guangdong, China

According to our database¹, Xunde Dong authored at least 32 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

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Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2024

ECGMamba: Towards Efficient ECG Classification with BiSSM.

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CoRR, 2024

Conv-RGNN: An efficient Convolutional Residual Graph Neural Network for ECG classification.

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Comput. Methods Programs Biomed., 2024

Automatic detection and localisation of myocardial infarction using multi-channel dense attention neural network.

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Biomed. Signal Process. Control., 2024

MT-MV-KDF: A novel Multi-Task Multi-View Knowledge Distillation Framework for myocardial infarction detection and localization.

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Biomed. Signal Process. Control., 2024

CLGSI: A Multimodal Sentiment Analysis Framework based on Contrastive Learning Guided by Sentiment Intensity.

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Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

Heartbeat Dynamics: A Novel Efficient Interpretable Feature for Arrhythmias Classification.

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IEEE Access, 2023

A Deep Learning Sentiment Analysis Method based on ERNIE and Modified DPCNN.

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Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

2022

Adaptive neural smooth finite-time controller for large-scale stochastic nonlinear state-constrained systems with feasibility removal and time delays.

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Int. J. Syst. Sci., 2022

ECG heartbeat classification based on combined features extracted by PCA, KPCA, AKPCA and DWT.

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Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

A novel CNN model with dense connectivity and attention mechanism for arrhythmia classification.

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Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Identification of the Gray-Scott Model via Deterministic Learning.

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Int. J. Bifurc. Chaos, 2021

2020

Spiral Tip Recognition via Deterministic Learning.

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Int. J. Bifurc. Chaos, 2020

Modeling and Identification of Permanent Magnet Synchronous Motor via Deterministic Learning.

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IEEE Access, 2020

Identity Recognition Based on the QRS Complex Dynamics of Electrocardiogram.

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IEEE Access, 2020

2019

Finite-time adaptive neural control for uncertain nonlinear time-delay systems with actuator delay and full-state constraints.

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Int. J. Syst. Sci., 2019

Spiral Tip Identification via Deterministic Learning.

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Int. J. Bifurc. Chaos, 2019

Global Identification of FitzHugh-Nagumo Equation via Deterministic Learning and Interpolation.

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IEEE Access, 2019

2018

Decentralized adaptive neural control for high-order interconnected stochastic nonlinear time-delay systems with unknown system dynamics.

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Neural Networks, 2018

Adaptive neural control for nonstrict-feedback time-delay systems with input and output constraints.

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Int. J. Mach. Learn. Cybern., 2018

Decentralized adaptive neural control for interconnected stochastic nonlinear delay-time systems with asymmetric saturation actuators and output constraints.

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J. Frankl. Inst., 2018

Barrier Lyapunov function-based decentralized adaptive neural control for uncertain high-order stochastic nonlinear interconnected systems with output constraints.

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J. Frankl. Inst., 2018

Decentralized adaptive neural control for high-order stochastic nonlinear strongly interconnected systems with unknown system dynamics.

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Inf. Sci., 2018

Nussbaum gain adaptive neural control for stochastic pure-feedback nonlinear time-delay systems with full-state constraints.

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Neurocomputing, 2018

Adaptive neural control for MIMO stochastic nonlinear pure-feedback systems with input saturation and full-state constraints.

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Neurocomputing, 2018

2017

Adaptive neural tracking control for nonstrict-feedback stochastic nonlinear time-delay systems with full-state constraints.

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Int. J. Syst. Sci., 2017

Adaptive neural prescribed performance control for a class of strict-feedback stochastic nonlinear systems under arbitrary switchings.

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Int. J. Syst. Sci., 2017

Adaptive neural prescribed performance control for a class of strict-feedback stochastic nonlinear systems with hysteresis input.

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Neurocomputing, 2017

ECG beat classification via deterministic learning.

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Neurocomputing, 2017

2016

A new method for early detection of myocardial ischemia: cardiodynamicsgram (CDG).

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Sci. China Inf. Sci., 2016

Modeling of nonlinear dynamical systems based on deterministic learning and structural stability.

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Sci. China Inf. Sci., 2016

2015

Identification of the FitzHugh-Nagumo Model Dynamics via Deterministic Learning.

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Int. J. Bifurc. Chaos, 2015

2013

Fault Detection for Nonlinear Discrete-Time Systems via Deterministic Learning.

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Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

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