Rencheng Song

Cognitive Neuroscience · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 13 citations into it
• Experimental and Cognitive Psychology — 13 citations into it

Whom Rencheng Song trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sepp Hochreiter
2. Diederik P. Kingma
3. Bao-Liang Lu

Papers from Rencheng Song's perspective

Ordered by how strongly the researchers Rencheng Song trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Visualizing and Understanding Convolutional Networks
7. Gradient-based learning applied to document recognition
8. Spatial Transformer Networks
9. Learning Multiple Layers of Features from Tiny Images
10. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Their papers

• EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2023) — 485 citations