Yun Liu

Artificial Intelligence · npj Digital Medicine · 2017–2023

A researcher in the Science corpus: 12 papers; trusts 25 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yun Liu trusts overall

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

  1. Christian Szegedy
  2. Andrew Janowczyk
  3. Geoffrey E. Hinton
  4. Geert J. S. Litjens
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Yoshua Bengio
  8. Babak Ehteshami Bejnordi
  9. Anant Madabhushi
  10. Ilya Sutskever

Who trusts Yun Liu overall

  1. Chetan L. Srinidhi
  2. Daniel E. Worrall
  3. Eu Wern Teh
  4. Geert J. S. Litjens
  5. Yahui Jiang
  6. Massimo Salvi
  7. Eric J. Topol
  8. Bin Li
  9. Neofytos Dimitriou
  10. Nicolas Brosse

Papers from Yun Liu's perspective

Ordered by how strongly the researchers Yun Liu 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers