Kai Liu

Artificial Intelligence · with Wang · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Kai Liu trusts overall

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

1. Robert M. O’Brien
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Simon S. Haykin
5. Geoffrey E. Hinton

Papers from Kai Liu's perspective

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

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

Their papers

• Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China (2019) — 320 citations