Yizhou Sun

Artificial Intelligence · with Fan · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Graph Learning — 6 citations into it

Whom Yizhou Sun trusts overall

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

1. Alan M. Frieze
2. Yoshua Bengio
3. Thomas Kipf

Papers from Yizhou Sun's perspective

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

Their papers

• Finding key players in complex networks through deep reinforcement learning (2020) — 386 citations