Hongming Pu

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Hongming Pu trusts overall

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

  1. Matus Telgarsky
  2. Dmitry Yarotsky
  3. Kaiming He
  4. Nick Harvey
  5. Alex Krizhevsky

Who trusts Hongming Pu overall

  1. Patrick Kidger
  2. Hongzhou Lin
  3. Akiyoshi Sannai
  4. Xiao Zhang
  5. Kartik Ahuja

Papers from Hongming Pu's perspective

Ordered by how strongly the researchers Hongming Pu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers