Yan Li

Artificial Intelligence · with Shi · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Psychiatry and Mental health — 10 citations into it
• Neurology — 6 citations into it

Whom Yan Li trusts overall

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

1. Heung-Il Suk
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Chih-Jen Lin

Papers from Yan Li's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. A Fast Learning Algorithm for Deep Belief Nets
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. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Greedy Layer-Wise Training of Deep Networks

Their papers

• Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease (2018) — 379 citations