Hui Wan

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 8 citations into it
• Artificial Intelligence — 7 citations into it; #18,553 of 35,345 by trust here, #33,294 by citations

Whom Hui Wan trusts overall

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

1. Matthew E. Peters
2. Mark Neumann
3. Alec Radford
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Mohit Iyyer
7. Diederik P. Kingma
8. Zhilin Yang
9. Jacob Devlin
10. Kenton C. T. Lee

Who trusts Hui Wan overall

1. Junlong Li
2. Zhuosheng Zhang
3. Hai Zhao
4. Xi Zhou

Papers from Hui Wan's perspective

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

• Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension (2020) — 13 citations