Linlin Zhang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 320 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Linlin Zhang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Jimmy Ba
  5. Diederik P. Kingma
  6. Sergey Ioffe
  7. Ross B. Girshick
  8. Yoshua Bengio
  9. Yann LeCun
  10. Zheng Hui

Papers from Linlin Zhang's perspective

Ordered by how strongly the researchers Linlin Zhang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers