Jingyuan Zhao

Electronic, Optical and Magnetic Materials · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingyuan Zhao trusts overall

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

  1. Andrew F. Burke
  2. P. Simon
  3. Yury Gogotsi
  4. M. Lukatskaya
  5. G. Lota
  6. Jean-Marie Tarascon
  7. F. Béguin
  8. G. Chen

Papers from Jingyuan Zhao's perspective

Ordered by how strongly the researchers Jingyuan 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers