Fuyuan Zhang

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 48 citations into it
• Safety, Robustness & Interpretability — 36 citations into it

Whom Fuyuan Zhang trusts overall

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

1. Yann LeCun
2. Nicholas Carlini
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ian J. Goodfellow
6. Kexin Pei
7. Yoshua Bengio
8. Karen Simonyan
9. L. Eon Bottou
10. Christian Szegedy

Who trusts Fuyuan Zhang overall

1. Jie M. Zhang
2. Lei Ma

Papers from Fuyuan Zhang's perspective

Ordered by how strongly the researchers Fuyuan Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. ImageNet Large Scale Visual Recognition Challenge
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• DeepMutation: Mutation Testing of Deep Learning Systems (2018) — 401 citations
• DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems (2018) — 708 citations