Jiayun Dong

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Jiayun Dong trusts overall

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

  1. Leo Breiman
  2. Aaron Fisher
  3. Cynthia Rudin
  4. Karen Simonyan
  5. Jonathan Harel
  6. Giuseppe Casalicchio
  7. Trevor J. Hastie
  8. Andrew Zisserman
  9. Jerome H. Friedman
  10. Jimmy J. Lin

Who trusts Jiayun Dong overall

  1. Amanda Coston
  2. Emily Black
  3. Charles Marx
  4. Ashesh Rambachan
  5. Manish Raghavan
  6. Flávio du Pin Calmon
  7. Cynthia Rudin
  8. Alexandra Chouldechova
  9. Berk Ustun
  10. Solon Barocas

Papers from Jiayun Dong's perspective

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

Their papers