Zhongqi Yue

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 203 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Computer Vision and Pattern Recognition — 45 citations into it
• Representation & Self-Supervised Learning — 28 citations into it
• Causal Inference & Discovery — 9 citations into it
• Meta & Continual Learning — 7 citations into it
• Model Architectures — 5 citations into it

Whom Zhongqi Yue trusts overall

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

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

Who trusts Zhongqi Yue overall

1. Chi Zhang
2. Feihong Shen
3. Guangyuan Shi
4. Xinting Hu
5. Kaihua Tang
6. Guosheng Lin
7. Jun Liu
8. Yujun Cai
9. Hanwang Zhang
10. Jiaxin Chen

Papers from Zhongqi Yue's perspective

Ordered by how strongly the researchers Zhongqi Yue 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Interventional Few-Shot Learning (2020) — 277 citations