Rong Yan

Artificial Intelligence · with Hauptmann · 2003–2019

A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 542 researchers here, as inferred from the citation graph.

Subfields

Whom Rong Yan trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. John C. Platt
  4. Yoshua Bengio
  5. James Franklin
  6. Stefan Rüping
  7. Kaiming He
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Hugo Larochelle

Who trusts Rong Yan overall

  1. Judy Hoffman
  2. Kate Saenko
  3. Lixin Duan
  4. Trevor Darrell
  5. Charu C. Aggarwal
  6. Eric Tzeng
  7. Gabriella Csurka
  8. Jeff Donahue
  9. Ilja Kuzborskij
  10. Anastasia Pentina

Papers from Rong Yan's perspective

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

Their papers