Ke Yan

Computer Vision and Pattern Recognition · with Summers · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #19,173 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 14 citations into it; #30,818 of 35,345 by trust here, #19,439 by citations

Whom Ke Yan trusts overall

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

1. Kaiming He
2. Shaoqing Ren
3. Jifeng Dai
4. Ross B. Girshick
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Karen Simonyan
8. Yoshua Bengio
9. Yann LeCun
10. Ilya Sutskever

Who trusts Ke Yan overall

1. Martin J. Willemink
2. Nantheera Anantrasirichai
3. Onat Dalmaz

Papers from Ke Yan's perspective

Ordered by how strongly the researchers Ke Yan 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning (2018) — 562 citations
• Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks (2019) — 650 citations