Dianhuan Lin

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Dianhuan Lin trusts overall

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

  1. Sumit Gulwani
  2. Percy Liang
  3. Michael I. Jordan
  4. Geoffrey E. Hinton
  5. George Lakoff
  6. Josh Tenenbaum
  7. Diederik P. Kingma
  8. Jonathan Baxter
  9. Yoshua Bengio
  10. Alex Krizhevsky

Who trusts Dianhuan Lin overall

  1. Yura N. Perov
  2. Ute Schmid
  3. Kevin Ellis
  4. Nicholas Watters

Papers from Dianhuan Lin's perspective

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

Their papers