Yue Hu

Artificial Intelligence · with Gao · 2019

A researcher in the Science corpus: 1 paper; trusts 9 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 — 9 citations into it
• Graph Learning — 8 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Yue Hu trusts overall

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

1. Diederik P. Kingma
2. Barret Zoph

Papers from Yue Hu's perspective

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

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

Their papers

• GraphNAS: Graph Neural Architecture Search with Reinforcement Learning (2019) — 121 citations