Jiazhen Lin

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiazhen Lin trusts overall

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

  1. Kaiming He
  2. Yoshua Bengio

Papers from Jiazhen Lin's perspective

Ordered by how strongly the researchers Jiazhen 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: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Caffe: Convolutional Architecture for Fast Feature Embedding
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Identity Mappings in Deep Residual Networks
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers