Xiaoyong Yuan

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 217 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 125 citations into it; #20,593 of 35,345 by trust here, #9,641 by citations
• Safety, Robustness & Interpretability — 86 citations into it; #1,682 of 2,251 by trust here, #876 by citations
• Computer Vision and Pattern Recognition — 61 citations into it
• Signal Processing — 37 citations into it
• Computer Networks and Communications — 19 citations into it; #7,955 of 9,886 by trust here, #9,214 by citations
• Model Architectures — 18 citations into it
• Optimization & Training — 5 citations into it
• Privacy & Security — 5 citations into it

Whom Xiaoyong Yuan trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Christian Szegedy
5. Yann LeCun
6. Yoshua Bengio
7. Diederik P. Kingma
8. Nicolas Papernot
9. Ian J. Goodfellow
10. Kaiming He

Who trusts Xiaoyong Yuan overall

1. Edward Chou
2. Hongyu Liu
3. Stacey Truex
4. Erwan Le Merrer
5. Lu Sun
6. Florian Tramèr
7. Roberto Doriguzzi Corin
8. W. Zhang
9. Wojciech Samek
10. Tao Bai

Papers from Xiaoyong Yuan's perspective

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

Their papers

• Adversarial Examples: Attacks and Defenses for Deep Learning (2017) — 1,830 citations
• DeepDefense: Identifying DDoS Attack via Deep Learning (2017) — 341 citations