Zhanxin Gao

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Meta & Continual Learning — 22 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Zhanxin Gao trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Rahaf Aljundi
4. Gido M. van de Ven
5. Kaiming He
6. Yoshua Bengio
7. Diederik P. Kingma
8. Sylvestre-Alvise Rebuffi
9. Yann LeCun
10. Shipeng Yan

Papers from Zhanxin Gao's perspective

Ordered by how strongly the researchers Zhanxin Gao 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Consistent Prompting for Rehearsal-Free Continual Learning (2024) — 65 citations