Qingyu Yin

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #14,250 of 35,345 by trust here, #17,412 by citations
• Natural Language Processing — 39 citations into it; #2,655 of 5,688 by trust here, #3,529 by citations
• Representation & Self-Supervised Learning — 6 citations into it
• Model Architectures — 5 citations into it

Whom Qingyu Yin trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Yann LeCun
5. Christopher D. Manning
6. Yoon Kim
7. Ilya Sutskever
8. Jimmy Ba
9. Richard Socher
10. Alex Krizhevsky

Who trusts Qingyu Yin overall

1. Ana Marasovic
2. Piyawat Lertvittayakumjorn
3. Sarah Wiegreffe
4. Andreas Madsen
5. Marzena Karpinska
6. Swarnadeep Saha

Papers from Qingyu Yin's perspective

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

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

Their papers

• Towards Explainable NLP: A Generative Explanation Framework for Text Classification (2018) — 160 citations
• SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models (2022) — 59 citations