357 citations · 750 across the 6 of their papers we have counts for
6 papers
Improving EEG Decoding via Clustering-based Multi-task Feature Learning
Yu Zhang, Tao Zhou, Wei Wu +4
Accurate electroencephalogram (EEG) pattern decoding for specific mental tasks is one of the key steps for the development of brain-computer interface (BCI), which is quite challen…
Continuous use of ERP-based BCIs with different visual angles in ALS patients
Jing Jin, Brendan Z. Allison, Yu Zhang +5
Objective: Amyotrophic lateral sclerosis (ALS) is a rare disease, but is also one of the most common motor neuron diseases, and people of all races and ethnic backgrounds are affec…
Optimized motor imagery paradigm based on imagining Chinese characters writing movement
Zhaoyang Qiu, Brendan Z. Allison, Jing Jin +4
Motor imagery (MI) is a mental representation of motor behavior that has been widely used as a control method for a brain-computer interface (BCI), allowing communication for the p…
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data
Guoxu Zhou, Qibin Zhao, Yu Zhang +3
With the increasing availability of various sensor technologies, we now have access to large amounts of multi-block (also called multi-set, multi-relational, or multi-view) data th…
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis
Yu Zhang, Guoxu Zhou, Jing Jin +2
Canonical correlation analysis (CCA) has been one of the most popular methods for frequency recognition in steady-state visual evoked potential (SSVEP)-based brain-computer interfa…
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction
Guoxu Zhou, Andrzej Cichocki, Yu Zhang +1
Very often data we encounter in practice is a collection of matrices rather than a single matrix. These multi-block data are naturally linked and hence often share some common feat…