Yaopeng Liu

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Natural Language Processing — 31 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Yaopeng Liu trusts overall

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

1. Geoffrey E. Hinton
2. Tomas Mikolov
3. Yoshua Bengio
4. Omer Levy
5. Ilya Sutskever
6. Alex Krizhevsky
7. Andriy Mnih
8. Yann LeCun
9. Diederik P. Kingma
10. Yoon Kim

Papers from Yaopeng Liu's perspective

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

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

Their papers

• Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN (2018) — 436 citations
• Incrementally Learning the Hierarchical Softmax Function for Neural Language Models (2017) — 79 citations