Fuxun Yu

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Safety, Robustness & Interpretability — 21 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Optimization & Training — 13 citations into it
• Scaling & Learning Theory — 9 citations into it

Whom Fuxun Yu trusts overall

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

1. Ian J. Goodfellow
2. Christian Szegedy
3. James Martens
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Oriol Vinyals
7. Yann LeCun
8. Alex Krizhevsky
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts Fuxun Yu overall

1. Anqi Mao
2. Dongxian Wu
3. Shutao Xia
4. Mehryar Mohri

Papers from Fuxun Yu's perspective

Ordered by how strongly the researchers Fuxun Yu 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Interpreting and Evaluating Neural Network Robustness (2019) — 59 citations
• Interpreting Adversarial Robustness: A View from Decision Surface in Input Space (2018) — 30 citations