Chaofei Yang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #23,126 of 35,345 by trust here, #18,586 by citations
• Safety, Robustness & Interpretability — 9 citations into it; #1,515 of 2,251 by trust here, #1,589 by citations

Whom Chaofei Yang trusts overall

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

1. Alex Krizhevsky
2. Individualized Treat
3. Yann LeCun
4. Christian Szegedy
5. Battista Biggio
6. Han Xiao
7. Blaine Nelson
8. Mehran Mozaffari Kermani
9. Yoshua Bengio
10. L. Eon Bottou

Who trusts Chaofei Yang overall

1. Yuntao Liu
2. Jacob Steinhardt
3. Zhiyi Tian
4. Vale Tolpegin
5. Pang Wei Koh
6. Ho Bae
7. Shawn Shan
8. Qiang Liu
9. Ali Shafahi
10. Yingqi Liu

Papers from Chaofei Yang's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Generative Poisoning Attack Method Against Neural Networks (2017) — 230 citations