Meiqian Zhao

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Meiqian Zhao trusts overall

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

  1. Thomas G. Dietterich
  2. Diederik P. Kingma
  3. Tomas Mikolov
  4. Ming Tan
  5. Ivan Habernal
  6. Jimmy Ba
  7. Geoffrey E. Hinton
  8. Bing Xiang
  9. Kai Chen
  10. Henning Wachsmuth

Papers from Meiqian Zhao's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Efficient Estimation of Word Representations in Vector Space
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers