Yiming Zhou

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 3 papers; trusts 218 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yiming Zhou trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Christian Szegedy
  6. Yann LeCun
  7. Ilya Sutskever
  8. Sergey Ioffe
  9. Diederik P. Kingma
  10. Alex Graves

Who trusts Yiming Zhou overall

  1. Kilian Batzner
  2. Lewei Yao

Papers from Yiming Zhou's perspective

Ordered by how strongly the researchers Yiming 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers