Yangsong Zhang
Orcid: 0000-0002-6764-3567Affiliations:
- Southwest University of Science and Technology, School of Computer Science and Technology, Laboratory for Brain Science and Artificial Intelligence, Mianyang, China
According to our database1,
Yangsong Zhang authored at least 58 papers
between 2013 and 2026.
Collaborative distances:
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Bibliography
2026
GAD-YOLO: a gastrointestinal abnormality detection YOLO model with multi-scale channel attention and residual fusion.
Medical Biol. Eng. Comput., May, 2026
Multi-Site rs-fMRI Domain Alignment for Autism Spectrum Disorder Auxiliary Diagnosis Based on Hyperbolic Space.
IEEE J. Biomed. Health Informatics, February, 2026
2025
SPECTRE: Spectral Pre-training Embeddings with Cylindrical Temporal Rotary Position Encoding for Fine-Grained sEMG-Based Movement Decoding.
CoRR, December, 2025
Emotion Recognition by Learning the Manifold of Fused Multiscale Information of EEG Signals.
IEEE Trans. Affect. Comput., 2025
Real-time fine finger motion decoding for transradial amputees with surface electromyography.
Neural Networks, 2025
Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data.
Neural Networks, 2025
NeuroImage, 2025
2024
Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Medical Biol. Eng. Comput., July, 2024
Re-UNet: a novel multi-scale reverse U-shape network architecture for low-dose CT image reconstruction.
Medical Biol. Eng. Comput., 2024
Image Vis. Comput., 2024
Proceedings of the 2024 7th International Conference on Sensors, 2024
2023
Correction to: AEAU-Net: An unsupervised end-to-end registration network by combining affine transformation and deformable medical image registration.
Medical Biol. Eng. Comput., November, 2023
AEAU-Net: an unsupervised end-to-end registration network by combining affine transformation and deformable medical image registration.
Medical Biol. Eng. Comput., November, 2023
Neural Networks, July, 2023
Short-time SSVEP data extension by a novel generative adversarial networks based framework.
CoRR, 2023
An End-to-End Deep Learning Model for EEG-Based Major Depressive Disorder Classification.
IEEE Access, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Segment Anything Model for Semi-supervised Medical Image Segmentation via Selecting Reliable Pseudo-labels.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition.
Neural Networks, 2022
Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition.
Comput. Biol. Medicine, 2022
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
DSNet: EEG-Based Spatial Convolutional Neural Network for Detecting Major Depressive Disorder.
Proceedings of the Human Brain and Artificial Intelligence - Third International Workshop, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
IEEE Trans. Cogn. Dev. Syst., 2021
Neural Networks, 2021
Computational exploration of dynamic mechanisms of steady state visual evoked potentials at the whole brain level.
NeuroImage, 2021
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition.
Neurocomputing, 2021
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
An End-to-End Hemisphere Discrepancy Network for Subject-Independent Motor Imagery Classification.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Deep Learning Models with Time Delay Embedding for EEG-Based Attentive State Classification.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
2020
NeuroImage, 2020
Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting- to task-state: Evidence from a simultaneous event-related EEG-fMRI study.
NeuroImage, 2020
Int. J. Neural Syst., 2020
Future Gener. Comput. Syst., 2020
Robust brain causality network construction based on Bayesian multivariate autoregression.
Biomed. Signal Process. Control., 2020
2019
EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations.
IEEE Trans. Biomed. Eng., 2019
Neural Networks, 2019
Heterogeneity of synaptic input connectivity regulates spike-based neuronal avalanches.
Neural Networks, 2019
The Dynamic Brain Networks of Motor Imagery: Time-Varying Causality Analysis of Scalp EEG.
Int. J. Neural Syst., 2019
IEEE Access, 2019
2018
Frontiers Comput. Neurosci., 2018
Frontiers Comput. Neurosci., 2018
Comput. Math. Methods Medicine, 2018
IEEE Access, 2018
FiLayer: A Novel Fine-Grained Layer-Wise Parallelism Strategy for Deep Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
From social community to spatio-temporal information: A new method for mobile data exploration.
J. Vis. Lang. Comput., 2017
Neurocomputing, 2017
Neurocomputing, 2017
2016
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016
2015
Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA).
NeuroImage, 2015
Combining ensemble empirical mode decomposition with spectrum subtraction technique for heart rate monitoring using wrist-type photoplethysmography.
Biomed. Signal Process. Control., 2015
2014
An Efficient Frequency Recognition Method Based on Likelihood Ratio Test for SSVEP-Based BCI.
Comput. Math. Methods Medicine, 2014
Using particle swarm to select frequency band and time interval for feature extraction of EEG based BCI.
Biomed. Signal Process. Control., 2014
2013
Local Temporal Correlation Common Spatial Patterns for Single Trial EEG Classification during Motor Imagery.
Comput. Math. Methods Medicine, 2013
SSVEP Responses Reveal the Efficiency of Functional Brain Network Entrained by the Flickering Stimulus.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013