Siyu Wang

Artificial Intelligence · with Han · 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 Siyu Wang trusts overall

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

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

Who trusts Siyu Wang overall

1. Avishek Joey Bose

Papers from Siyu Wang's perspective

Ordered by how strongly the researchers Siyu Wang 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. ImageNet Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
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