Yong Liu

Model Architectures · with Yao · 1997–2000

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Yong Liu trusts overall

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

  1. Robert A. Jacobs
  2. David B. Fogel
  3. Robert E. Schapire
  4. M. Stone
  5. David E. Rumelhart
  6. Xin Yao
  7. Michael I. Jordan
  8. Geoffrey E. Hinton
  9. Donald Michie
  10. Thomas Martinetz

Who trusts Yong Liu overall

  1. Xin Yao
  2. M. Islam
  3. Shang He
  4. Seyedali Mirjalili
  5. Swagatam Das
  6. Zhi-hui Zhan
  7. Seyed Mohammad Mirjalili
  8. Q. Henry Wu
  9. Janez Brest
  10. Ajith Abraham

Papers from Yong Liu's perspective

Ordered by how strongly the researchers Yong Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Learning internal representations by error propagation
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers