Fengshun Xiao

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Natural Language Processing — 39 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Fengshun Xiao trusts overall

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

1. Diederik P. Kingma
2. Jimmy Ba
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Jie Yang
7. Alex Krizhevsky
8. Michael Collins
9. Ashish Vaswani
10. Kyunghyun Cho

Who trusts Fengshun Xiao overall

1. Shuailiang Zhang
2. Zhao Hai

Papers from Fengshun Xiao's perspective

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

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

Their papers

• Lattice-Based Transformer Encoder for Neural Machine Translation (2019) — 45 citations
• Hierarchical Contextualized Representation for Named Entity Recognition (2019) — 141 citations