Jingyu Chen

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom Jingyu Chen trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Christian Szegedy
4. Andrew Zisserman

Who trusts Jingyu Chen overall

1. Arvid Lundervold

Papers from Jingyu Chen's perspective

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

Their papers

• Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks (2017) — 154 citations