Lingyu Zhang

Artificial Intelligence · 2017–2019

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

Subfields

Whom Lingyu Zhang trusts overall

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

  1. Jerome H. Friedman
  2. Llew Mason

Papers from Lingyu Zhang's perspective

Ordered by how strongly the researchers Lingyu Zhang 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Greedy function approximation: A gradient boosting machine.
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  8. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Squeeze-and-Excitation Networks

Their papers