Jiahao Liu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Natural Language Processing — 39 citations into it
• Model Architectures — 5 citations into it

Whom Jiahao Liu trusts overall

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

1. Yoshua Bengio
2. Matthew D. Zeiler
3. Geoffrey E. Hinton
4. Kyunghyun Cho
5. Dzmitry Bahdanau
6. Ilya Sutskever
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Alexis Conneau
10. Yann LeCun

Papers from Jiahao Liu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Topic-to-Essay Generation with Neural Networks (2018) — 72 citations
• VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation (2020) — 23 citations