Yadong Yang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 16 citations into it

Whom Yadong Yang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Pedro F. Felzenszwalb
4. Tsung-Yi Lin
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Bharat Singh
8. Wei David Liu
9. Christian Szegedy
10. Yoshua Bengio

Papers from Yadong Yang's perspective

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

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

Their papers

• Channel Expansion Convolutional Network for Image Classification (2020)