Yushuang Wu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yushuang Wu trusts

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

  1. Yedid Hoshen (in Artificial Intelligence)
  2. Liron Bergman (in Artificial Intelligence)
  3. Niv Cohen (in Artificial Intelligence)

Papers from Yushuang Wu's perspective

Ordered by how strongly the researchers Yushuang Wu 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. Density estimation using Real NVP
  3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Variational Inference with Normalizing Flows
  6. Learning Multiple Layers of Features from Tiny Images
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Glow: Generative Flow with Invertible 1x1 Convolutions

Their papers