Mingyang Li

Orcid: 0000-0002-4683-4815

Affiliations:
  • Jilin University, Department of Communication Engineering, Changchun, China


According to our database1, Mingyang Li authored at least 28 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
SD-Meta: The Software-Defined Network of Human-Centric Metaverse for Multi-Lead or Multi-Media Data in Spread Spectrum Communications.
ACM Trans. Multim. Comput. Commun. Appl., June, 2025

SAD-VER: A Self-supervised, Diffusion probabilistic model-based data augmentation framework for Visual-stimulus EEG Recognition.
Adv. Eng. Informatics, 2025

2024
A hybrid EEG classification model using layered cascade deep learning architecture.
Medical Biol. Eng. Comput., July, 2024

Initiative, Immersive Human-Computer Interactions: Software-Defined Memristive Neural Networks for Nonlinear Heterogeneous Scheme in Internet of Brains.
IEEE Internet Things J., April, 2024

Emotion recognition from multiple physiological signals using intra- and inter-modality attention fusion network.
Digit. Signal Process., January, 2024

Emotion recognition using cross-modal attention from EEG and facial expression.
Knowl. Based Syst., 2024

A review of research on reinforcement learning algorithms for multi-agents.
Neurocomputing, 2024

An overview: Attention mechanisms in multi-agent reinforcement learning.
Neurocomputing, 2024

2023
EEG emotion recognition using attention-based convolutional transformer neural network.
Biomed. Signal Process. Control., July, 2023

A multi-classification algorithm based on multi-domain information fusion for motor imagery BCI.
Biomed. Signal Process. Control., 2023

GNMF-based quadratic feature extraction in SSTFT domain for epileptic EEG detection.
Biomed. Signal Process. Control., 2023

2021
Assessing multi-layered nonlinear characteristics of ECG/EEG signal via adaptive kernel density estimation-based hierarchical entropies.
Biomed. Signal Process. Control., 2021

FFT-based deep feature learning method for EEG classification.
Biomed. Signal Process. Control., 2021

Synchroextracting chirplet transform-based epileptic seizures detection using EEG.
Biomed. Signal Process. Control., 2021

2020
Ensemble deep learning for automated visual classification using EEG signals.
Pattern Recognit., 2020

Patient-specific seizure detection method using nonlinear mode decomposition for long-term EEG signals.
Medical Biol. Eng. Comput., 2020

Symplectic geometry decomposition-based features for automatic epileptic seizure detection.
Comput. Biol. Medicine, 2020

Decoding human brain activity with deep learning.
Biomed. Signal Process. Control., 2020

Automatic focal and non-focal EEG detection using entropy-based features from flexible analytic wavelet transform.
Biomed. Signal Process. Control., 2020

Developing multi-component dictionary-based sparse representation for automatic detection of epileptic EEG spikes.
Biomed. Signal Process. Control., 2020

Classification Epileptic Seizures in EEG Using Time-Frequency Image and Block Texture Features.
IEEE Access, 2020

2019
FuzzyEn-based features in FrFT-WPT domain for epileptic seizure detection.
Neural Comput. Appl., 2019

Classification of inter-ictal and ictal EEGs using multi-basis MODWPT, dimensionality reduction algorithms and LS-SVM: A comparative study.
Biomed. Signal Process. Control., 2019

2018
Fuzzy distribution entropy and its application in automated seizure detection technique.
Biomed. Signal Process. Control., 2018

A novel seizure diagnostic model based on kernel density estimation and least squares support vector machine.
Biomed. Signal Process. Control., 2018

2017
AR based quadratic feature extraction in the VMD domain for the automated seizure detection of EEG using random forest classifier.
Biomed. Signal Process. Control., 2017

Automatic epileptic EEG detection using DT-CWT-based non-linear features.
Biomed. Signal Process. Control., 2017

Classification of epilepsy EEG signals using DWT-based envelope analysis and neural network ensemble.
Biomed. Signal Process. Control., 2017


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