Lanqing Guo

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lanqing Guo trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton

Papers from Lanqing Guo's perspective

Ordered by how strongly the researchers Lanqing Guo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet: A large-scale hierarchical image database
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers