Puxuan Yu

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 164 citations into it
• Information Retrieval & Search — 78 citations into it
• Computer Vision and Pattern Recognition — 59 citations into it
• Optimization & Training — 8 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Puxuan Yu trusts overall

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

1. Diederik P. Kingma
2. Jiafeng Guo
3. Jay M. Ponte
4. Liang Pang
5. Jimmy Ba
6. W. Bruce Croft
7. Armand Joulin
8. Chenyan Xiong
9. Geoffrey E. Hinton
10. Tomas Mikolov

Who trusts Puxuan Yu overall

1. Jimmy J. Lin

Papers from Puxuan Yu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• A Survey of Model Architectures in Information Retrieval (2025)
• A Study of Neural Matching Models for Cross-lingual IR (2020) — 27 citations