Liang Zhou

Artificial Intelligence · with Arbel · 2020

A researcher in the Science corpus: 2 papers; trusts 285 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Zhou trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Aapo Hyvärinen
  6. Yann LeCun
  7. Michael I. Jordan
  8. Radford M. Neal
  9. Jianwen Xie
  10. Kaiming He

Who trusts Liang Zhou overall

  1. Abdul Fatir Ansari
  2. Yezhen Wang

Papers from Liang Zhou's perspective

Ordered by how strongly the researchers Liang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers