Yangsong Zhang

Orcid: 0000-0002-6764-3567

According to our database1, Yangsong Zhang authored at least 54 papers between 2013 and 2024.

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Bibliography

2024
Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Constantly optimized mean teacher for semi-supervised 3D MRI image segmentation.
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

UTR: A UNet-like transformer for efficient unsupervised medical image registration.
Image Vis. Comput., 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

A transformer-based deep neural network model for SSVEP classification.
Neural Networks, July, 2023

Arbitrary shape scene text detector with accurate text instance generation based on instance-relevant contexts.
Multim. Tools Appl., May, 2023

T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations.
CoRR, 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

Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

SSVEP Data Augmentation Based on Filter Band Masking and Random Phase Erasing.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Aided Diagnosis of Autism Spectrum Disorder Based on a Mixed Neural Network Model.
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

Generating Human Motion from Textual Descriptions with Discrete Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

TransPND: A Transformer Based Pulmonary Nodule Diagnosis Method on CT Image.
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

Low Dose CT Image Denoising Using Efficient Transformer with SimpleGate Mechanism.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Schizophrenia Detection Based on EEG Using Recurrent Auto-encoder Framework.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Reconfiguration of Brain Network Between Resting State and P300 Task.
IEEE Trans. Cogn. Dev. Syst., 2021

An end-to-end 3D convolutional neural network for decoding attentive mental state.
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

The Detection of Attentive Mental State Using a Mixed Neural Network Model.
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
Predicting individual decision-making responses based on single-trial EEG.
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

Aberrant Connectivity During Pilocarpine-Induced Status Epilepticus.
Int. J. Neural Syst., 2020

Exploiting potential of deep neural networks by layer-wise fine-grained parallelism.
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

Hierarchical feature fusion framework for frequency recognition in SSVEP-based BCIs.
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

Fusing Canonical Coefficients for Frequency Recognition in SSVEP-Based BCI.
IEEE Access, 2019

2018
Top-Down Disconnectivity in Schizophrenia During P300 Tasks.
Frontiers Comput. Neurosci., 2018

Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration.
Frontiers Comput. Neurosci., 2018

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

The Construction of Large-Scale Cortical Networks for P300 From Scalp EEG.
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

Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition.
Neurocomputing, 2017

The extension of multivariate synchronization index method for SSVEP-based BCI.
Neurocomputing, 2017

2016
A Fine-Grained Parallel Intra Prediction for HEVC Based on GPU.
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


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