Aoxue Li

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 355 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 76 citations into it
• Artificial Intelligence — 75 citations into it
• Representation & Self-Supervised Learning — 42 citations into it
• Radiology, Nuclear Medicine and Imaging — 21 citations into it
• Meta & Continual Learning — 14 citations into it
• Model Architectures — 11 citations into it
• Optimization & Training — 6 citations into it
• Cancer Research — 5 citations into it

Whom Aoxue Li trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Karen Simonyan
7. Yoshua Bengio
8. Oriol Vinyals
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Aoxue Li overall

1. Yixiong Zou
2. Yisheng Song
3. Ji Zhang
4. Shanghang Zhang
5. Ting-Yuan Wang
6. Wentao Zhu
7. Weiran Huang
8. Puyu Cai
9. Jingkuan Song
10. Chunbo Lang

Papers from Aoxue Li's perspective

Ordered by how strongly the researchers Aoxue 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Few-Shot Learning With Global Class Representations (2019) — 121 citations
• Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy (2019) — 140 citations
• Boosting Few-Shot Learning With Adaptive Margin Loss (2020) — 224 citations
• Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks (2017) — 365 citations