Yi Wu

Artificial Intelligence · 1 papers · 2020

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 — 25 citations into it
• Graph Learning — 8 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Yi Wu trusts overall

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

1. Jeffrey Scott Vitter
2. Santo Fortunato
3. Geoffrey E. Hinton
4. Rahaf Aljundi
5. Yoshua Bengio
6. David Lopez-Paz
7. Alex Krizhevsky
8. Diederik P. Kingma

Papers from Yi Wu's perspective

Ordered by how strongly the researchers Yi Wu 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Streaming Graph Neural Networks via Continual Learning (2020) — 148 citations