Yuan Xue

AAAI Conference on Artificial Intelligence · with Choi · 2019

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

Whom Yuan Xue trusts

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

1. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Yuan Xue's perspective

Ordered by how strongly the researchers Yuan Xue 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. Dropout: a simple way to prevent neural networks from overfitting
3. Layer Normalization
4. ImageNet classification with deep convolutional neural networks
5. Trust Region Policy Optimization (International Conference on Machine Learning)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Non-local Neural Networks

Their papers

• Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer (2019) — 301 citations