Sheng Yu

Artificial Intelligence · with Guan · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Natural Language Processing — 9 citations into it

Whom Sheng Yu trusts overall

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

1. Ronald J. Williams
2. Dzmitry Bahdanau
3. Alex Graves
4. Yoshua Bengio

Papers from Sheng Yu's perspective

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

1. Long Short-Term Memory
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. GENERATIVE ADVERSARIAL NETS
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Human-level control through deep reinforcement learning

Their papers

• Generation of Synthetic Electronic Medical Record Text (2018) — 61 citations