Yufeng Chen

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it
• Natural Language Processing — 46 citations into it
• Model Architectures — 18 citations into it
• Management Science and Operations Research — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Yufeng Chen trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Alex Krizhevsky
6. Tomas Mikolov
7. Ruslan Salakhutdinov
8. Alex Graves
9. Yann LeCun
10. Jimmy Ba

Papers from Yufeng Chen's perspective

Ordered by how strongly the researchers Yufeng Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling (2019) — 97 citations
• Zero-Shot Information Extraction via Chatting with ChatGPT (2023) — 511 citations
• Explicitly Modeling Adaptive Depths for Transformer (2020)