Yihang Liu

Artificial Intelligence · with He · 2022

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Safety, Robustness & Interpretability — 7 citations into it
• Model Architectures — 6 citations into it

Whom Yihang Liu trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Jia Deng
4. Andrew Zisserman
5. Oscar Li
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Yoshua Bengio
9. Ross B. Girshick
10. X. Zhang

Papers from Yihang Liu's perspective

Ordered by how strongly the researchers Yihang Liu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Going deeper with convolutions
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Decoupling Deep Learning for Interpretable Image Recognition (2022) — 6 citations