Miao Zhao

Artificial Intelligence · with Liu · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Miao Zhao trusts overall

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

  1. David Snyder
  2. Daniel Povey
  3. Jiankang Deng
  4. Joon Son Chung
  5. Arsha Nagrani
  6. Tom Ko
  7. Andrew Zisserman
  8. Jenthe Thienpondt
  9. Kaiming He
  10. Feng Wang

Papers from Miao Zhao's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Going deeper with convolutions
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers