Jingling Li

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 104 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 85 citations into it
• Computer Vision and Pattern Recognition — 44 citations into it
• Model Architectures — 21 citations into it
• Scaling & Learning Theory — 15 citations into it
• Optimization & Training — 14 citations into it

Whom Jingling Li trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yoshua Bengio
6. Christian Szegedy
7. Simon Shaolei Du
8. Karen Simonyan
9. Yann LeCun
10. Ilya Sutskever

Who trusts Jingling Li overall

1. Marwa El Halabi

Papers from Jingling Li's perspective

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

Their papers

• Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression (2018) — 23 citations
• How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks (2020) — 370 citations