Hongyun Bao

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Natural Language Processing — 40 citations into it
• Model Architectures — 14 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Information Extraction — 5 citations into it

Whom Hongyun Bao trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Sepp Hochreiter
4. Yoshua Bengio
5. Yann LeCun
6. Nal Kalchbrenner
7. Makoto Miwa
8. J. Urgen Schmidhuber
9. Alex Krizhevsky
10. Diederik P. Kingma

Papers from Hongyun Bao's perspective

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

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

Their papers

• Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling (2016) — 528 citations
• Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme (2017) — 707 citations