Anjin Liu

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anjin Liu trusts overall

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

  1. Albert Bifet
  2. João Gama
  3. Walter J. Scheirer
  4. Jaka Demsar
  5. Jadzia Cendrowska
  6. Shai Ben-David
  7. Pedro M. Domingos
  8. Terrance E. Boult
  9. Gregory Ditzler
  10. Lalit P. Jain

Who trusts Anjin Liu overall

  1. Firas Bayram
  2. Da-Wei Zhou

Papers from Anjin Liu's perspective

Ordered by how strongly the researchers Anjin Liu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers