Hu Zhang

Artificial Intelligence · with Du · 2019

A researcher in the Science corpus: 1 paper; trusts 36 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 — 17 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Optimization & Training — 7 citations into it

Whom Hu Zhang trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Kaiming He
5. Christian Szegedy
6. Karen Simonyan
7. Ian J. Goodfellow
8. Yurii E. Nesterov
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Hu Zhang overall

1. Naveed Akhtar

Papers from Hu Zhang's perspective

Ordered by how strongly the researchers Hu Zhang 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Query-efficient Meta Attack to Deep Neural Networks (2019) — 88 citations