Yan-Po Liu

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #5,043 of 35,345 by trust here, #4,526 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Safety, Robustness & Interpretability — 8 citations into it; #347 of 2,251 by trust here, #356 by citations

Whom Yan-Po Liu trusts overall

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

1. Ian J. Goodfellow
2. Karen Simonyan
3. Kaiming He
4. Alex Krizhevsky
5. Nicolas Papernot
6. Christian Szegedy
7. Geoffrey E. Hinton
8. Nicholas Carlini
9. Yann LeCun
10. Andrew Zisserman

Who trusts Yan-Po Liu overall

1. Andrew Ilyas
2. Anish Athalye
3. Yinpeng Dong
4. Huan Zhang
5. Yonatan Belinkov
6. Weiwei Hu
7. Pin-Yu Chen
8. Yang Song
9. Adversarial Examples
10. Bo Li

Papers from Yan-Po Liu's perspective

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

Their papers

• Delving into Transferable Adversarial Examples and Black-box Attacks (2016) — 1,962 citations