Xihong Yang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xihong Yang trusts

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

  1. Huaiyu Zhu (in Information Theory)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. Jimmy Ba (in Artificial Intelligence)
  5. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Xihong Yang's perspective

Ordered by how strongly the researchers Xihong Yang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Exploring Simple Siamese Representation Learning

Their papers