Yuan Tian

Artificial Intelligence · with Chang · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Natural Language Processing — 12 citations into it

Whom Yuan Tian trusts overall

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

1. Diederik P. Kingma
2. Makoto Miwa
3. Geoffrey E. Hinton
4. Matthew D. Zeiler
5. Yoshua Bengio
6. Alex Krizhevsky
7. Jimmy Ba
8. Yann LeCun

Who trusts Yuan Tian overall

1. Hao Yuan

Papers from Yuan Tian's perspective

Ordered by how strongly the researchers Yuan 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. GloVe: Global Vectors for Word Representation

Their papers

• GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks (2020) — 484 citations
• A Novel Cascade Binary Tagging Framework for Relational Triple Extraction (2019) — 655 citations