Yimeng Zhou

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yimeng Zhou trusts overall

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

  1. Nicholas Carlini
  2. Diederik P. Kingma

Papers from Yimeng Zhou's perspective

Ordered by how strongly the researchers Yimeng Zhou 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Explaining and Harnessing Adversarial Examples
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers