Yongluan Yan

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 16 citations into it
• Model Architectures — 6 citations into it

Whom Yongluan Yan trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Xavier Glorot
4. Yoshua Bengio
5. Alex Krizhevsky
6. Jaume Amores
7. Vinod Nair
8. Yann LeCun
9. Ilya Sutskever
10. Nitish Srivastava

Who trusts Yongluan Yan overall

1. Bin Li

Papers from Yongluan Yan's perspective

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

Their papers

• Revisiting multiple instance neural networks (2016) — 517 citations
• Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning (2017) — 186 citations