Yang Zhou

Artificial Intelligence · with Jin · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Zhou trusts overall

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

  1. Radford M. Neal
  2. Jonathan Baxter
  3. Tony Jebara
  4. Robert Tibshirani
  5. Francis R. Bach
  6. Rie Kubota Ando
  7. Naonori Ueda
  8. Michael I. Jordan
  9. Theodoros Evgeniou
  10. Guillaume Obozinski

Who trusts Yang Zhou overall

  1. Francis R. Bach
  2. Xiao-Tong Yuan
  3. Jaehong Yoon
  4. Marwa El Halabi
  5. Xin Wang
  6. Sebastian Ruder
  7. Jie Gui
  8. Shuicheng Yan
  9. Sung Ju Hwang
  10. Aurélien Bellet

Papers from Yang Zhou's perspective

Ordered by how strongly the researchers Yang Zhou 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers