Longkang Li

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Signal Processing — 10 citations into it
• Model Architectures — 5 citations into it

Whom Longkang Li trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Kaiming He
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Andrew Zisserman
7. Yoshua Bengio
8. Yann LeCun
9. Jia Deng
10. Jimmy Ba

Papers from Longkang Li's perspective

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

Their papers

• Invisible Backdoor Attack with Sample-Specific Triggers (2020) — 680 citations