Han Li

Artificial Intelligence · with Doan · 2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it
• Natural Language Processing — 35 citations into it

Whom Han Li trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Ilya Sutskever
5. Alex Graves
6. Tomas Mikolov
7. Dzmitry Bahdanau
8. Oriol Vinyals
9. Alex Krizhevsky
10. J. Urgen Schmidhuber

Who trusts Han Li overall

1. Sanjay Krishnan

Papers from Han Li's perspective

Ordered by how strongly the researchers Han 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
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

• Deep Learning for Entity Matching: A Design Space Exploration (2018) — 675 citations
• Toward a System Building Agenda for Data Integration (and Data Science) (2018) — 6 citations