Guanghai Dai

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 Guanghai Dai trusts overall

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

1. Yousef Rezaei Tabar
2. Djork-Arné Clevert
3. Arthur Le Guennec
4. Na Lu
5. Fabien Lotte
6. Ugur Halici
7. Thomas Unterthiner
8. Simon Malinowski
9. Yann LeCun
10. Sepp Hochreiter

Papers from Guanghai Dai's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Learning Multiple Layers of Features from Tiny Images
8. Deep Learning
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification (2020) — 303 citations