Shuyu Cheng

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Safety, Robustness & Interpretability — 22 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Signal Processing — 8 citations into it

Whom Shuyu Cheng trusts overall

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

1. Kaiming He
2. Ian J. Goodfellow
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Karen Simonyan
7. Yinpeng Dong
8. Nicolas Papernot
9. Yoshua Bengio
10. Yann LeCun

Who trusts Shuyu Cheng overall

1. Naveed Akhtar
2. Yinpeng Dong
3. Tianyu Pang
4. Ajmal Saeed Mian

Papers from Shuyu Cheng's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Improving Black-box Adversarial Attacks with a Transfer-based Prior (2019) — 306 citations