Xiangli Yang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 413 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 133 citations into it
• Computer Vision and Pattern Recognition — 100 citations into it
• Representation & Self-Supervised Learning — 71 citations into it
• Natural Language Processing — 36 citations into it
• Generative Models — 20 citations into it
• Evaluation & Benchmarks — 18 citations into it
• Graph Learning — 17 citations into it
• Optimization & Training — 14 citations into it

Whom Xiangli Yang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Diederik P. Kingma
5. Kaiming He
6. Yann LeCun
7. Ilya Sutskever
8. Quoc V. Le
9. Ross B. Girshick
10. Alex Graves

Who trusts Xiangli Yang overall

1. Mingxia Liu

Papers from Xiangli Yang's perspective

Ordered by how strongly the researchers Xiangli Yang 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Survey on Deep Semi-Supervised Learning (2021) — 910 citations