Shui Yu

Artificial Intelligence · with Cui · 2022

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 84 citations into it
• Safety, Robustness & Interpretability — 50 citations into it
• Computer Networks and Communications — 23 citations into it
• Signal Processing — 21 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Privacy & Security — 15 citations into it
• Information Systems — 11 citations into it
• Optimization & Training — 9 citations into it

Whom Shui Yu trusts overall

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

1. Geoffrey E. Hinton
2. Battista Biggio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Blaine Nelson
6. Yoshua Bengio
7. Yann LeCun
8. Kaiming He
9. Pang Wei Koh
10. Ilya Sutskever

Papers from Shui Yu's perspective

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

Their papers

• A Comprehensive Survey on Poisoning Attacks and Countermeasures in Machine Learning (2022) — 303 citations