Junqiu Wei

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 25 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
• Computer Vision and Pattern Recognition — 19 citations into it
• Large Language Models — 19 citations into it

Whom Junqiu Wei trusts overall

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

1. Taku Kudo
2. Ilya Sutskever
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Jacob Devlin
6. Diederik P. Kingma
7. Alexander Sergeev
8. Kyunghyun Cho
9. Oriol Vinyals
10. Alex Krizhevsky

Who trusts Junqiu Wei overall

1. Yiming Cui
2. Xiaojing Lu
3. Jianlin Su

Papers from Junqiu Wei's perspective

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

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

Their papers

• Training Multilingual Pre-trained Language Model with Byte-level Subwords (2021) — 24 citations
• NEZHA: Neural Contextualized Representation for Chinese Language Understanding (2019) — 128 citations