Jinyu Zhao

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinyu Zhao trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Jimmy Ba
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Alex Krizhevsky
  7. Gao Huang
  8. X. Zhang
  9. Shaoqing Ren
  10. Yoshua Bengio

Papers from Jinyu Zhao's perspective

Ordered by how strongly the researchers Jinyu Zhao 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. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers