Lin Gui

Artificial Intelligence · with Cambria · 2021

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Natural Language Processing — 19 citations into it
• Large Language Models — 12 citations into it
• Molecular Biology — 5 citations into it

Whom Lin Gui trusts overall

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

1. Jacob Devlin
2. Iz Beltagy
3. Maria Pontiki
4. Jeffrey Pennington
5. Mark Neumann

Papers from Lin Gui's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Long Short-Term Memory
3. GloVe: Global Vectors for Word Representation
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. ImageNet classification with deep convolutional neural networks
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
10. ImageNet: A large-scale hierarchical image database

Their papers

• Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies (2021) — 38 citations
• Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks (2021) — 456 citations