Xiangyu Chen

Artificial Intelligence · with An · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it

Whom Xiangyu Chen trusts overall

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

1. Tongliang Liu
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Jacob Goldberger
6. Eran Malach

Papers from Xiangyu Chen's perspective

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

Their papers

• Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization (2020) — 687 citations