Shuyuan Xu

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 88 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Graph Learning — 13 citations into it
• Model Architectures — 13 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Shuyuan Xu trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Sepp Hochreiter
6. Ronald J. Williams
7. Kaiming He
8. Christian Szegedy
9. Ilya Sutskever
10. Yann LeCun

Papers from Shuyuan Xu's perspective

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

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

Their papers

• Language is All a Graph Needs (2023) — 307 citations
• OpenAGI: When LLM Meets Domain Experts (2023) — 353 citations