2 citations · 2 across the 1 of their papers we have counts for
5 papers
Attention-based Transfer Learning for Brain-computer Interface
Chuanqi Tan, Fuchun Sun, Tao Kong +2
Different functional areas of the human brain play different roles in brain activity, which has not been paid sufficient research attention in the brain-computer interface (BCI) fi…
Spatial and Spectral Features Fusion for EEG Classification during Motor Imagery in BCI
Chuanqi Tan, Fuchun Sun, Wenchang Zhang +2
Brain computer interface (BCI) is the only way for some special patients to communicate with the outside world and provide a direct control channel between brain and the external d…
A Survey on Deep Transfer Learning
Chuanqi Tan, Fuchun Sun, Tao Kong +3
As a new classification platform, deep learning has recently received increasing attention from researchers and has been successfully applied to many domains. In some domains, like…
Deep Transfer Learning for EEG-based Brain Computer Interface
Chuanqi Tan, Fuchun Sun, Wenchang Zhang
The electroencephalography classifier is the most important component of brain-computer interface based systems. There are two major problems hindering the improvement of it. First…
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography
Chuanqi Tan, Fuchun Sun, Wenchang Zhang +2
Electroencephalography (EEG) has become the most significant input signal for brain computer interface (BCI) based systems. However, it is very difficult to obtain satisfactory cla…