Huayi Tang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Huayi Tang trusts overall

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

1. Geoffrey E. Hinton
2. L. V. D. van der Maaten
3. Ross B. Girshick
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yoshua Bengio
7. Kaveh Hassani
8. Kaiming He
9. Feiping Nie
10. Yann LeCun

Papers from Huayi Tang's perspective

Ordered by how strongly the researchers Huayi Tang 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Multi-level Feature Learning for Contrastive Multi-view Clustering (2021) — 355 citations