Yichen Zhang

Computer Vision and Pattern Recognition · with Lin · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 281 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 80 citations into it
• Artificial Intelligence — 65 citations into it
• Efficiency & Compression — 51 citations into it
• Model Architectures — 24 citations into it
• Optimization & Training — 9 citations into it

Whom Yichen Zhang trusts overall

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

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

Papers from Yichen Zhang's perspective

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

Their papers

• HRank: Filter Pruning Using High-Rank Feature Map (2020) — 899 citations
• Training convolutional neural networks with cheap convolutions and online distillation (2019) — 15 citations