Yadong Lu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #22,000 of 35,345 by trust here, #31,361 by citations
• Computer Vision and Pattern Recognition — 19 citations into it; #13,618 of 21,575 by trust here, #19,766 by citations
• Efficiency & Compression — 17 citations into it

Whom Yadong Lu trusts overall

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

1. Kaiming He
2. Yoshua Bengio
3. Christos Louizos
4. Yihui He
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Raghuraman Krishnamoorthi
8. Diederik P. Kingma
9. Max Welling
10. Yann LeCun

Who trusts Yadong Lu overall

1. Yang He
2. Jing Liu
3. Sein Park

Papers from Yadong Lu's perspective

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

Their papers

• Differentiable Joint Pruning and Quantization for Hardware Efficiency (2020) — 94 citations