Yequan Wang

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #8,268 of 35,345 by trust here, #9,275 by citations
• Natural Language Processing — 14 citations into it; #1,749 of 5,688 by trust here, #2,045 by citations

Whom Yequan Wang trusts overall

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

1. Richard Socher
2. Sepp Hochreiter
3. Jeffrey Pennington
4. Christopher D. Manning
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. John C. Duchi
8. J. Urgen Schmidhuber
9. Duyu Tang
10. Ilya Sutskever

Who trusts Yequan Wang overall

1. Binxuan Huang
2. Xin Li
3. Tom Young
4. Shuai Wang
5. Lidong Bing
6. Zhuang Chen
7. Haopeng Zhang
8. Sofia Serrano
9. Fei Dong
10. Maximin Coavoux

Papers from Yequan Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Attention-based LSTM for Aspect-level Sentiment Classification (2016) — 2,183 citations