Can Yang

Genetics · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2009–2018

A researcher in the Science corpus: 5 papers; trusts 64 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Can Yang trusts overall

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

  1. Trevor J. Hastie
  2. Heather J. Cordell
  3. Jerome H. Friedman
  4. Yu Zhang
  5. Jonathan Marchini
  6. Mee Young Park
  7. E.J. Candes
  8. Richard Szeliski
  9. S. Li
  10. Massimo Piccardi

Who trusts Can Yang overall

  1. Thierry Bouwmans
  2. Zexian Zeng
  3. Namrata Vaswani
  4. Dilip K. Prasad
  5. Xia Jiang

Papers from Can Yang's perspective

Ordered by how strongly the researchers Can 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers