Shengyu Liu

Natural Language Processing · with Chen · 2015

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 19 citations into it
• Artificial Intelligence — 16 citations into it
• Molecular Biology — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Shengyu Liu trusts overall

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

1. Tomas Mikolov
2. Yoshua Bengio
3. Burr Settles
4. Andriy Mnih
5. Geoffrey E. Hinton
6. Andrew McCallum
7. E. Tjong Kim Sang
8. Frederic Morin
9. Ilya Sutskever
10. Mitchell P. Marcus

Papers from Shengyu Liu's perspective

Ordered by how strongly the researchers Shengyu Liu 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Effects of Semantic Features on Machine Learning-Based Drug Name Recognition Systems: Word Embeddings vs. Manually Constructed Dictionaries (2015) — 59 citations