Han Lin

Materials Chemistry · with Zhang · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Han Lin trusts overall

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

  1. Krzysztof Marcin Choromanski
  2. Jirí Matousek
  3. Mark Rowland
  4. Robin Pemantle
  5. Ali Rahimi
  6. Nir Ailon
  7. Alex Kulesza
  8. Devdatt P. Dubhashi
  9. Josef Dick
  10. Haim Avron

Who trusts Han Lin overall

  1. Armin VahidMohammadi
  2. Krzysztof Marcin Choromanski
  3. J. Rosen
  4. Yury Gogotsi

Papers from Han Lin's perspective

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

Their papers