Zhe Zhou

Safety, Robustness & Interpretability · 2005–2018

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 23 citations into it
• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Signal Processing — 5 citations into it

Whom Zhe Zhou trusts overall

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

1. Ian J. Goodfellow
2. Nicholas Carlini
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio

Papers from Zhe Zhou's perspective

Ordered by how strongly the researchers Zhe Zhou 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. Intriguing properties of neural networks
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Explaining and Harnessing Adversarial Examples

Their papers

• Development and validation of an instrument to measure user perceived service quality of information presenting Web portals (2005) — 867 citations
• A survey of practical adversarial example attacks (2018) — 52 citations