Liqiang Lin

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liqiang Lin trusts overall

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

  1. Aäron van den Oord
  2. Geoffrey E. Hinton
  3. Charlie Nash
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Kaiming He
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Oriol Vinyals
  10. Yann LeCun

Papers from Liqiang Lin's perspective

Ordered by how strongly the researchers Liqiang 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers