Jianxun Liu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Graph Learning — 11 citations into it

Whom Jianxun Liu trusts

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

1. Alessio Micheli (in Artificial Intelligence)
2. Quoc V. Le (in Artificial Intelligence)

Papers from Jianxun Liu's perspective

Ordered by how strongly the researchers Jianxun Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Dropout: a simple way to prevent neural networks from overfitting
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Neural Architecture Search with Reinforcement Learning
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)

Their papers

• Evolutionary Architecture Search for Graph Neural Networks (2020) — 24 citations