Yongkun Wang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Natural Language Processing — 13 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Model Architectures — 5 citations into it

Whom Yongkun Wang trusts overall

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

1. Tomas Mikolov
2. Yoshua Bengio
3. Pengfei Liu

Papers from Yongkun Wang's perspective

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

1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Efficient Estimation of Word Representations in Vector Space
4. Long Short-Term Memory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Understanding the difficulty of training deep feedforward neural networks
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Multi-Task Label Embedding for Text Classification (2017) — 101 citations