Liang Zhao

Computer Vision and Pattern Recognition · with Dong · 2023

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Zhao trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Alec Radford

Papers from Liang Zhao's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Microsoft COCO: Common Objects in Context
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers