Di Lu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Natural Language Processing — 20 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Model Architectures — 7 citations into it

Whom Di Lu trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Kaiming He
4. Alex Graves
5. Yann LeCun
6. Kyunghyun Cho
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Ilya Sutskever
10. Dzmitry Bahdanau

Who trusts Di Lu overall

1. Jianfei Yu
2. Fan Yang
3. Jing Jiang

Papers from Di Lu's perspective

Ordered by how strongly the researchers Di 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Visual Attention Model for Name Tagging in Multimodal Social Media (2018) — 304 citations