Sijia Liu

Artificial Intelligence · with Liu · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sijia Liu trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Kevin Meng
  8. Yann LeCun
  9. Ilya Sutskever
  10. Matthew D. Zeiler

Papers from Sijia Liu's perspective

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

Their papers