Ziyuan Zhong

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it
• Safety, Robustness & Interpretability — 35 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Safety Research — 16 citations into it
• AI Ethics, Fairness & Society — 15 citations into it
• Sociology and Political Science — 5 citations into it

Whom Ziyuan Zhong trusts overall

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

1. Geoffrey E. Hinton
2. Ian J. Goodfellow
3. Alex Krizhevsky
4. Yoshua Bengio
5. Christian Szegedy
6. Kaiming He
7. Diederik P. Kingma
8. Yann LeCun
9. Ilya Sutskever
10. Nicolas Papernot

Who trusts Ziyuan Zhong overall

1. Tianyu Pang
2. A. Serban

Papers from Ziyuan Zhong's perspective

Ordered by how strongly the researchers Ziyuan Zhong 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. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Noise-tolerant fair classification (2019) — 83 citations
• Metric Learning for Adversarial Robustness (2019) — 204 citations