Hua Li

Artificial Intelligence · with Amyar · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it

Whom Hua Li trusts overall

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

1. Sebastian Ruder
2. Diederik P. Kingma
3. Tom Fawcett
4. Dan Claudiu Ciresan

Who trusts Hua Li overall

1. Fang Liu

Papers from Hua Li's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
10. Going deeper with convolutions

Their papers

• Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation (2020) — 470 citations