Hengchang Guo

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Safety, Robustness & Interpretability — 15 citations into it

Whom Hengchang Guo trusts overall

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

1. Ian J. Goodfellow
2. Christian Szegedy
3. Kaiming He
4. Alexey Kurakin
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Yinpeng Dong
8. Ross B. Girshick
9. Ilya Sutskever
10. Yoshua Bengio

Papers from Hengchang Guo's perspective

Ordered by how strongly the researchers Hengchang Guo 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Feature Importance-aware Transferable Adversarial Attacks (2021) — 329 citations