Lei Yang

Artificial Intelligence · with Hu · 2019

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

Subfields

• Artificial Intelligence — 25 citations into it
• Model Architectures — 8 citations into it

Whom Lei Yang trusts overall

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

1. Barret Zoph
2. Hanxiao Liu

Papers from Lei Yang's perspective

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

Their papers

• Hardware/Software Co-Exploration of Neural Architectures (2019) — 146 citations
• Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search (2019) — 132 citations