Peiyang Li

Orcid: 0000-0003-0280-9922

According to our database1, Peiyang Li authored at least 44 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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

P/D-Serve: Serving Disaggregated Large Language Model at Scale.
CoRR, 2024

Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems.
CoRR, 2024

Enhancing Fraud Transaction Detection via Unlabeled Suspicious Records.
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

Robust estimation of sparse EEG source based on Laplacian distribution.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

Lifting by Image - Leveraging Image Cues for Accurate 3D Human Pose Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Cueing effect of attention among nurses with different anxiety levels: an EEG study.
Medical Biol. Eng. Comput., September, 2023

Robust Bayesian Estimation of EEG-Based Brain Causality Networks.
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

OAT: An Optimized Android Testing Framework Based on Reinforcement Learning.
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

Verifying the Quality of Outsourced Training on Clouds.
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
A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging.
IEEE Trans. Medical Imaging, 2021

Decision-Feedback Stages Revealed by Hidden Markov Modeling of EEG.
Int. J. Neural Syst., 2021

Learning a Push-Recovery Controller for Quadrupedal Robots.
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

Predicting individual decision-making responses based on single-trial EEG.
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

Sparse Autoregressive Modeling via the Least Absolute LP-Norm Penalized Solution.
IEEE Access, 2019

Emotion Recognition with the Feature extracted from brain Networks.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

2018
An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface.
Comput. Math. Methods Medicine, 2018

Mining Semantics-Preserving Attention for Group Activity Recognition.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition.
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

Optimizational Methods for Index Construction on Big Graphs.
Proceedings of the Advances in Services Computing, 2016

2015
An Adaptive Motion-Onset VEP-Based Brain-Computer Interface.
IEEE Trans. Auton. Ment. Dev., 2015

Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems.
Comput. Math. Methods Medicine, 2015

Lp norm spectral regression for feature extraction in outlier conditions.
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


  Loading...