80 citations · 85 across the 4 of their papers we have counts for
11 papers
A Transformer-based deep neural network model for SSVEP classification
Jianbo Chen, Yangsong Zhang, Yudong Pan +2
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 filter…
Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation
Yangsong Zhang, Subhankar Roy, Hongtao Lu +2
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 unann…
Hierarchical emotion-recognition framework based on discriminative brain neural network topology and ensemble co-decision strategy
Cunbo Li, Peiyang Li, Yangsong Zhang +5
Brain neural networks characterize various information propagation patterns for different emotional states. However, the statistical features based on traditional graph theory may…
Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)
Aung Aung Phyo Wai, Yangsong Zhang, Heng Guo +5
Steady-state visual evoked potentials (SSVEP) brain-computer interface (BCI) provides reliable responses leading to high accuracy and information throughput. But achieving high acc…
Hierarchical feature fusion framework for frequency recognition in SSVEP-based BCIs
Yangsong Zhang, Erwei Yin, Fali Li +4
Effective frequency recognition algorithms are critical in steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs). In this study, we present a hierarch…
Reconfiguration of Brain Network between Resting-state and Oddball Paradigm
Fali Li, Chanlin Yi, Yuanyuan Liao +8
The oddball paradigm is widely applied to the investigation of multiple cognitive functions. Prior studies have explored the cortical oscillation and power spectral differing from…