Yujie Li

Computer Vision and Pattern Recognition · with Li · 2017–2019

A researcher in the Science corpus: 6 papers; trusts 219 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 69 citations into it
• Artificial Intelligence — 51 citations into it
• Model Architectures — 24 citations into it
• Natural Language Processing — 13 citations into it
• Neural Architecture Search & AutoML — 12 citations into it
• Electrical and Electronic Engineering — 10 citations into it
• Optimization & Training — 10 citations into it
• Media Technology — 9 citations into it

Whom Yujie Li trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Kenneth O. Stanley
5. Yoshua Bengio
6. Kaiming He
7. Yann LeCun
8. Alex Krizhevsky
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts Yujie Li overall

1. Yu Weng
2. Tianbao Zhou
3. Peng Jiang
4. Suofei Zhang

Papers from Yujie Li's perspective

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

Their papers

• Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning (2018) — 444 citations
• NAS-Unet: Neural Architecture Search for Medical Image Segmentation (2019) — 434 citations
• CONet: A Cognitive Ocean Network (2019) — 162 citations
• Low illumination underwater light field images reconstruction using deep convolutional neural networks (2018) — 271 citations
• Brain Intelligence: Go beyond Artificial Intelligence (2017) — 1,015 citations
• Wound intensity correction and segmentation with convolutional neural networks (2017) — 209 citations