Yufei Tang

Artificial Intelligence · with Huang · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Graph Learning — 18 citations into it

Whom Yufei Tang trusts

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

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

Papers from Yufei Tang's perspective

Ordered by how strongly the researchers Yufei Tang 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. 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. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Neural Architecture Search with Reinforcement Learning
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Genetic-GNN: Evolutionary architecture search for Graph Neural Networks (2022) — 66 citations
• Evolutionary Architecture Search for Graph Neural Networks (2020) — 24 citations