Yang Zhou

Computer Vision and Pattern Recognition · with Cong · 2022

A researcher in the Science corpus: 1 paper; trusts 637 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 132 citations into it
• Artificial Intelligence — 93 citations into it
• Efficiency & Compression — 47 citations into it
• Model Architectures — 41 citations into it
• Electrical and Electronic Engineering — 7 citations into it
• Neural Architecture Search & AutoML — 6 citations into it
• Computational Mathematics — 5 citations into it
• Neurology — 5 citations into it

Whom Yang Zhou trusts overall

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

1. Geoffrey E. Hinton
2. Ross B. Girshick
3. Yoshua Bengio
4. Kaiming He
5. Alex Krizhevsky
6. Yann LeCun
7. Karen Simonyan
8. Ilya Sutskever
9. Diederik P. Kingma
10. Christian Szegedy

Papers from Yang Zhou's perspective

Ordered by how strongly the researchers Yang Zhou 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A review of convolutional neural network architectures and their optimizations (2022) — 335 citations