Yu Li

Artificial Intelligence · with Yu · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Natural Language Processing — 31 citations into it
• Large Language Models — 6 citations into it

Whom Yu Li trusts overall

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

1. Alec Radford
2. Paweł Budzianowski
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ilya Sutskever
7. Ilya Loshchilov
8. Jacob Devlin
9. Alex Krizhevsky
10. Ashish Vaswani

Papers from Yu Li's perspective

Ordered by how strongly the researchers Yu Li trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Towards Emotional Support Dialog Systems (2021) — 460 citations
• Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models (2019) — 63 citations