Zobrazeno 1 - 10
of 288
pro vyhledávání: '"Zhang, Yangsong"'
Graph Neural Networks (GNNs) have received considerable attention since its introduction. It has been widely applied in various fields due to its ability to represent graph structured data. However, the application of GNNs is constrained by two main
Externí odkaz:
http://arxiv.org/abs/2309.10128
Autor:
Zhang, Jianrong, Zhang, Yangsong, Cun, Xiaodong, Huang, Shaoli, Zhang, Yong, Zhao, Hongwei, Lu, Hongtao, Shen, Xi
In this work, we investigate a simple and must-known conditional generative framework based on Vector Quantised-Variational AutoEncoder (VQ-VAE) and Generative Pre-trained Transformer (GPT) for human motion generation from textural descriptions. We s
Externí odkaz:
http://arxiv.org/abs/2301.06052
Steady-state visual evoked potentials (SSVEPs) based brain-computer interface (BCI) has received considerable attention due to its high information transfer rate (ITR) and available quantity of targets. However, the performance of frequency identific
Externí odkaz:
http://arxiv.org/abs/2301.05599
Steady-state visual evoked potential (SSVEP) is one of the most commonly used control signal in the brain-computer interface (BCI) systems. However, the conventional spatial filtering methods for SSVEP classification highly depend on the subject-spec
Externí odkaz:
http://arxiv.org/abs/2210.04172
In this work we address multi-target domain adaptation (MTDA) in semantic segmentation, which consists in adapting a single model from an annotated source dataset to multiple unannotated target datasets that differ in their underlying data distributi
Externí odkaz:
http://arxiv.org/abs/2210.01578
Schizophrenia (SZ) is a serious mental disorder that could seriously affect the patient's quality of life. In recent years, detection of SZ based on deep learning (DL) using electroencephalogram (EEG) has received increasing attention. In this paper,
Externí odkaz:
http://arxiv.org/abs/2207.04262
Publikováno v:
In Image and Vision Computing October 2024 150
In recent years, emotion recognition based on electroencephalography (EEG) has received growing interests in the brain-computer interaction (BCI) field. The neuroscience researches indicate that the left and right brain hemispheres demonstrate activi
Externí odkaz:
http://arxiv.org/abs/2110.06462
Publikováno v:
In Heliyon 30 May 2024 10(10)
Autor:
Li, Cunbo, Li, Peiyang, Zhang, Yangsong, Li, Ning, Si, Yajing, Li, Fali, Yao, Dezhong, Xu, Peng
Brain neural networks characterize various information propagation patterns for different emotional states. However, the statistical features based on traditional graph theory may ignore the spacial network difference. To reveal these inherent spatia
Externí odkaz:
http://arxiv.org/abs/2002.10804