Fangxu Xing

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 81 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 111 citations into it
• Computer Vision and Pattern Recognition — 83 citations into it
• Representation & Self-Supervised Learning — 42 citations into it

Whom Fangxu Xing trusts overall

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

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

Papers from Fangxu Xing's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives (2022) — 325 citations