Zhenyong Fu

Artificial Intelligence · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 156 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Radiology, Nuclear Medicine and Imaging — 15 citations into it
• Generative Models — 7 citations into it

Whom Zhenyong Fu trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Yoshua Bengio
6. Diederik P. Kingma
7. Tomas Mikolov
8. Yann LeCun
9. Laurent Dinh
10. Ross B. Girshick

Papers from Zhenyong Fu's perspective

Ordered by how strongly the researchers Zhenyong Fu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Contrastive Embedding for Generalized Zero-Shot Learning (2021) — 270 citations