Yu Wang

Artificial Intelligence · with Huang · 2020

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it

Whom Yu Wang trusts overall

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

1. Kaiming He
2. Tsung-Yi Lin
3. Ross B. Girshick
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Jia Deng

Papers from Yu Wang's perspective

Ordered by how strongly the researchers Yu Wang 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: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Microsoft COCO: Common Objects in Context
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets (2020) — 299 citations