Zheng Li

Artificial Intelligence · with Hong · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zheng Li trusts overall

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

  1. David Snyder
  2. Diederik P. Kingma
  3. Florin Curelaru
  4. Joon Son Chung
  5. Kaiming He
  6. Arsha Nagrani
  7. Daniel Povey
  8. Geoffrey E. Hinton
  9. Andrew Zisserman
  10. Alex Krizhevsky

Papers from Zheng Li's perspective

Ordered by how strongly the researchers Zheng Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers