Yanxia Liu

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 89 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 87 citations into it
• Computer Vision and Pattern Recognition — 73 citations into it
• Representation & Self-Supervised Learning — 28 citations into it

Whom Yanxia Liu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Eric Tzeng

Papers from Yanxia Liu's perspective

Ordered by how strongly the researchers Yanxia Liu 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. ImageNet Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation (2022) — 59 citations
• Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation (2021) — 212 citations