Yucheng Shi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Safety, Robustness & Interpretability — 17 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Model Architectures — 7 citations into it

Whom Yucheng Shi trusts overall

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

1. Ian J. Goodfellow
2. Nicolas Papernot
3. Kaiming He
4. Alexey Kurakin
5. Christian Szegedy
6. Wieland Brendel
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Yann LeCun
10. Yoshua Bengio

Who trusts Yucheng Shi overall

1. Avishek Joey Bose
2. Gauthier Gidel

Papers from Yucheng Shi's perspective

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

Their papers

• Curls & Whey: Boosting Black-Box Adversarial Attacks (2019) — 126 citations