Dan Li

Artificial Intelligence · with Fang · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 23 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Model Architectures — 8 citations into it

Whom Dan Li trusts overall

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

1. Yoshua Bengio
2. Ilya Sutskever
3. Geoffrey E. Hinton
4. Kaiming He
5. Sepp Hochreiter
6. Dzmitry Bahdanau
7. Kyunghyun Cho
8. Sumit Chopra
9. Diederik P. Kingma
10. J. Urgen Schmidhuber

Papers from Dan Li's perspective

Ordered by how strongly the researchers Dan Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Abstract Text Summarization with a Convolutional Seq2seq Model (2019) — 60 citations