Ping Li

Artificial Intelligence · with Doan · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Safety, Robustness & Interpretability — 23 citations into it
• Signal Processing — 16 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Ping Li trusts overall

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

1. Kaiming He
2. Yann LeCun
3. Alex Krizhevsky

Papers from Ping Li's perspective

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

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

Their papers

• LIRA: Learnable, Imperceptible and Robust Backdoor Attacks (2021) — 328 citations