Peiyang Li
Orcid: 0000-0003-0280-9922
According to our database1,
Peiyang Li
authored at least 44 papers
between 2013 and 2024.
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Bibliography
2024
Granger Causal Inference Based on Dual Laplacian Distribution and Its Application to MI-BCI Classification.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Relationship Between Decision Making and Resting-State EEG in Adolescents With Different Emotional Stabilities.
IEEE Trans. Cogn. Dev. Syst., February, 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems.
CoRR, 2024
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024
A Novel Robust Sparse Granger Causality Inference Method and Its Application in MI EEG.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Medical Biol. Eng. Comput., September, 2023
IEEE Trans. Biomed. Eng., June, 2023
A novel robust Student's <i>t</i>-based Granger causality for EEG based brain network analysis.
Biomed. Signal Process. Control., 2023
Proceedings of the Theoretical Aspects of Software Engineering, 2023
CAPS: An Efficient Whole-Program Critical Paths Search Framework for Large-Scale Software.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
2022
A Novel Method for Constructing EEG Large-Scale Cortical Dynamical Functional Network Connectivity (dFNC): WTCS.
IEEE Trans. Cybern., 2022
Proceedings of the Computer Security - ESORICS 2022, 2022
A Novel Discharge Electrode Structure to Increase the Times of Shockwaves Generation.
Proceedings of the 5th International Conference on Electronics and Electrical Engineering Technology, 2022
2021
IEEE Trans. Medical Imaging, 2021
Int. J. Neural Syst., 2021
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021
2020
A Time-efficient Multi-Protocol Probe Scheme for Fine-grain IoT Device Identification.
Sensors, 2020
Directed EEG neural network analysis by LAPPS (p≤1) Penalized sparse Granger approach.
Neural Networks, 2020
NeuroImage, 2020
Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset.
Entropy, 2020
Robust brain causality network construction based on Bayesian multivariate autoregression.
Biomed. Signal Process. Control., 2020
EEG-Based Emotion Recognition Using Convolutional Neural Network with Functional Connections.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020
2019
EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations.
IEEE Trans. Biomed. Eng., 2019
Sparse EEG Source Localization Using LAPPS: Least Absolute l-P (0<p<1) Penalized Solution.
IEEE Trans. Biomed. Eng., 2019
Separated channel convolutional neural network to realize the training free motor imagery BCI systems.
Biomed. Signal Process. Control., 2019
Multiple Correlated Component Analysis for Identifying the Bilateral Location of Target in Visual Search Tasks.
IEEE Access, 2019
A Complementary Method of PCC for the Construction of Scalp Resting-State EEG Connectome: Maximum Information Coefficient.
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019
2018
Comput. Math. Methods Medicine, 2018
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2016
Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network.
NeuroImage, 2016
Proceedings of the Advances in Services Computing, 2016
2015
IEEE Trans. Auton. Ment. Dev., 2015
Comput. Math. Methods Medicine, 2015
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015
2014
Differentiating Between Psychogenic Nonepileptic Seizures and Epilepsy Based on Common Spatial Pattern of Weighted EEG Resting Networks.
IEEE Trans. Biomed. Eng., 2014
2013
Local Temporal Correlation Common Spatial Patterns for Single Trial EEG Classification during Motor Imagery.
Comput. Math. Methods Medicine, 2013