Bingchuan Liu
Cognitive Neuroscience · 2022
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 13 citations into it
- Artificial Intelligence — 5 citations into it
- Experimental and Cognitive Psychology — 5 citations into it
Whom Bingchuan Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Bingchuan Liu's perspective
Ordered by how strongly the researchers Bingchuan Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Visualizing Data using t-SNE
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
Their papers
- EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization (2022) — 981 citations