Bin-Bin Yang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin-Bin Yang trusts overall

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

  1. J. Ross Quinlan
  2. Jerome H. Friedman
  3. Pedro M. Domingos
  4. Carla E. Brodley
  5. Wei-Yin Loh
  6. Zhi-Hua Zhou
  7. Trevor J. Hastie
  8. Pierre Geurts
  9. Sreerama K. Murthy
  10. Peter Kontschieder

Who trusts Bin-Bin Yang overall

  1. Emir Demirovi'c

Papers from Bin-Bin Yang's perspective

Ordered by how strongly the researchers Bin-Bin Yang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Random Forests
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers