Hongyu Zhou

Artificial Intelligence · with Jiang · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it

Whom Hongyu Zhou trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Kaiming He
5. Alex Krizhevsky
6. Yoshua Bengio
7. Jimmy Ba
8. Ilya Sutskever
9. Andrew Zisserman
10. Yann LeCun

Papers from Hongyu Zhou's perspective

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

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

Their papers

• Bootstrap Latent Representations for Multi-modal Recommendation (2022) — 370 citations