Zongyan Han

Artificial Intelligence · 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 Zongyan Han 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. Laurent Dinh
8. Tomas Mikolov
9. Yann LeCun
10. Ross B. Girshick

Papers from Zongyan Han's perspective

Ordered by how strongly the researchers Zongyan Han 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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