Yige Li

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it; #32,306 of 35,345 by trust here, #26,682 by citations
• Safety, Robustness & Interpretability — 31 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Signal Processing — 24 citations into it

Whom Yige Li trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Sergey Zagoruyko
5. Xingjun Ma
6. Kang Liu
7. Brandon Tran
8. Yoshua Bengio
9. X. Zhang
10. Yann LeCun

Who trusts Yige Li overall

1. Dongxian Wu
2. Lingjuan Lyu
3. Yiming Li
4. Yisen Wang

Papers from Yige Li's perspective

Ordered by how strongly the researchers Yige Li 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. ImageNet: A large-scale hierarchical image database
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
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

• Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks (2021) — 575 citations
• Anti-Backdoor Learning: Training Clean Models on Poisoned Data (2021) — 473 citations