Jiang Guo

Artificial Intelligence · with Che · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Natural Language Processing — 32 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Molecular Biology — 6 citations into it

Whom Jiang Guo trusts overall

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

1. Ronan Collobert
2. Chris Dyer
3. James Henderson
4. Sabine Buchholz
5. Miguel Ballesteros
6. Jason Aaron Edward Weston
7. Yoshua Bengio
8. Geoffrey E. Hinton
9. Slav Petrov
10. Tomas Mikolov

Papers from Jiang Guo's perspective

Ordered by how strongly the researchers Jiang Guo 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning Semantic Hierarchies via Word Embeddings (2014) — 290 citations
• Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning (2016) — 21 citations
• A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks (2016) — 33 citations