Liu Yang

Artificial Intelligence · with Carbonell · 2006–2012

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Liu Yang trusts overall

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

  1. Sam T. Roweis
  2. Geoffrey E. Hinton
  3. Matthew Brand
  4. Lawrence K. Saul
  5. Ralph Linsker
  6. Yoshua Bengio
  7. Sebastian Thrun
  8. Andrew Y. Ng
  9. Alex Smola
  10. Jonathan Baxter

Who trusts Liu Yang overall

  1. Zirui Wang
  2. John P. Cunningham
  3. Weiwei Liu
  4. Liang Zheng
  5. Li Zhang
  6. Daniel Tarlow
  7. Isabelle M Guyon
  8. Jianping Gou
  9. Pengcheng Wu
  10. Steven C. H. Hoi

Papers from Liu Yang's perspective

Ordered by how strongly the researchers Liu 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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