Jiahui Huang
Cognitive Neuroscience · 2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 13 citations into it
Whom Jiahui Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jiahui Huang's perspective
Ordered by how strongly the researchers Jiahui Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Learning
- Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
- Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms (IEEE Transactions on Biomedical Engineering)
- Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface (IEEE World Congress on Computational Intelligence)
- A novel deep learning approach for classification of EEG motor imagery signals (Journal of Neural Engineering)
- Deep learning in bioinformatics
- A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines (IEEE transactions on neural systems and rehabilitation engineering)
- Functional Neuroimaging Studies of Motor Recovery After Stroke in Adults: A Review
- Data Augmentation for Time Series Classification using Convolutional Neural Networks
- Gradient-based learning applied to document recognition
Their papers
- HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification (2020) — 303 citations