Yanzhao Wu

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 139 citations into it
• Safety, Robustness & Interpretability — 43 citations into it
• Privacy & Security — 18 citations into it
• Health Informatics — 12 citations into it
• Optimization & Training — 11 citations into it
• Safety Research — 8 citations into it

Whom Yanzhao Wu trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Ligeng Zhu
7. Ilya Sutskever
8. Kaiming He
9. Ashish Vaswani
10. Le Trieu Phong

Papers from Yanzhao Wu's perspective

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

Their papers

• A Framework for Evaluating Gradient Leakage Attacks in Federated Learning (2020) — 172 citations
• Security and Privacy Challenges of Large Language Models: A Survey (2024) — 495 citations