Ruihan Wu

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Electrical and Electronic Engineering — 21 citations into it
• Safety, Robustness & Interpretability — 18 citations into it
• Materials Chemistry — 17 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Ruihan Wu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Cynthia Dwork
4. Geoffrey E. Hinton
5. Persi Diaconis
6. Jimmy Ba
7. Yuxin Wu
8. Diederik P. Kingma
9. Yehuda Lindell
10. Yoshua Bengio

Papers from Ruihan Wu's perspective

Ordered by how strongly the researchers Ruihan Wu 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. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Minimizing buried interfacial defects for efficient inverted perovskite solar cells (2023) — 800 citations
• TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks (2020) — 28 citations