5 papers
MindCine: Multimodal EEG-to-Video Reconstruction with Large-Scale Pretrained Models
Tian-Yi Zhou, Xuan-Hao Liu, Bao-Liang Lu +1
Reconstructing human dynamic visual perception from electroencephalography (EEG) signals is of great research significance since EEG's non-invasiveness and high temporal resolution…
MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain Signals
Xuan-Hao Liu, Yan-Kai Liu, Tianyi Zhou +2
Reconstructing video from brain signals is an important brain decoding task. Existing brain decoding frameworks are primarily built on a subject-dependent paradigm, which requires…
mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup
Xuan-Hao Liu, Bao-Liang Lu, Wei-Long Zheng
The cross-subject electroencephalography (EEG) classification exhibits great challenges due to the diversity of cognitive processes and physiological structures between different s…
Professor X: Manipulating EEG BCI with Invisible and Robust Backdoor Attack
Xuan-Hao Liu, Xinhao Song, Dexuan He +2
While electroencephalogram (EEG) based brain-computer interface (BCI) has been widely used for medical diagnosis, health care, and device control, the safety of EEG BCI has long be…
Focused State Recognition Using EEG with Eye Movement-Assisted Annotation
Tian-Hua Li, Tian-Fang Ma, Dan Peng +2
With the rapid advancement in machine learning, the recognition and analysis of brain activity based on EEG and eye movement signals have attained a high level of sophistication. U…