Fei Yang

Artificial Intelligence · with Yuan · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Information Systems — 23 citations into it
• Natural Language Processing — 15 citations into it
• Recommender Systems — 8 citations into it
• Model Architectures — 7 citations into it

Whom Fei Yang trusts overall

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

1. Steffen Rendle
2. Kaiming He
3. Geoffrey E. Hinton
4. Julian McAuley

Papers from Fei Yang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. ImageNet classification with deep convolutional neural networks
5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)

Their papers

• Exploring evolution-based & -free protein language models as protein function predictors (2022) — 16 citations
• Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited (2023) — 341 citations