Huiguang He

Cognitive Neuroscience · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 19 citations into it
• Experimental and Cognitive Psychology — 17 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Artificial Intelligence — 14 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Signal Processing — 5 citations into it

Whom Huiguang He trusts overall

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

1. Wei-Long Zheng
2. Bao-Liang Lu
3. Geoffrey E. Hinton
4. Sinno Jialin Pan
5. Alex Krizhevsky
6. Li-Chen Shi
7. Jeff Donahue

Papers from Huiguang He's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition (2017) — 304 citations
• Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition (2020) — 313 citations