Yuliang Li

Artificial Intelligence · with Doan · 2020

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #25,012 of 35,345 by trust here, #31,361 by citations
• Natural Language Processing — 21 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Yuliang Li trusts overall

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

1. Tomas Mikolov
2. Geoffrey E. Hinton
3. Sepp Hochreiter
4. Ilya Sutskever
5. Yoshua Bengio
6. Diederik P. Kingma
7. J. Urgen Schmidhuber
8. Alex Krizhevsky
9. Richard Socher
10. Yann LeCun

Who trusts Yuliang Li overall

1. Gerhard Weikum
2. Federico Bianchi
3. Avanika Narayan
4. Dirk Hovy
5. Ines Chami

Papers from Yuliang Li's perspective

Ordered by how strongly the researchers Yuliang 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Deep entity matching with pre-trained language models (2020) — 516 citations