Jiawen Yao

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Model Architectures — 5 citations into it

Whom Jiawen Yao trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Christian Szegedy
4. Patrick J. Heagerty
5. Andrew Zisserman
6. Geoffrey E. Hinton
7. Yann Dauphin
8. Maximilian Ilse
9. X. Zhang
10. Alex Krizhevsky

Who trusts Jiawen Yao overall

1. Richard J. Chen

Papers from Jiawen Yao's perspective

Ordered by how strongly the researchers Jiawen Yao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
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

• Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks (2020) — 551 citations