Hui-Ling Zhen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Hui-Ling Zhen trusts overall

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

  1. Kalyanmoy Deb
  2. Alex Kendall
  3. Yann LeCun
  4. Ron Kohavi
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Stephen P. Boyd
  9. Ozan Sener
  10. Jörg Fliege

Who trusts Hui-Ling Zhen overall

  1. Michael Crawshaw
  2. Christopher Fifty

Papers from Hui-Ling Zhen's perspective

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

Their papers