Yuanhe Tian

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Natural Language Processing — 13 citations into it

Whom Yuanhe Tian trusts overall

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

1. Diederik P. Kingma
2. Jeffrey Pennington
3. Nanyun Peng
4. Jacob Devlin
5. Jimmy Ba
6. Alan Akbik
7. Richard Socher
8. Geoffrey E. Hinton
9. Yoshua Bengio
10. Guillaume Lample

Papers from Yuanhe Tian's perspective

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

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

Their papers

• Named Entity Recognition for Social Media Texts with Semantic Augmentation (2020) — 79 citations