Lingzhi Li

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 99 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Lingzhi Li trusts overall

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

  1. Diederik P. Kingma
  2. Tero Karras
  3. Geoffrey E. Hinton
  4. Justus Thies
  5. Alex Krizhevsky
  6. Kaiming He
  7. Yin Li
  8. Shaoqing Ren
  9. Andrew Zisserman
  10. Jimmy Ba

Who trusts Lingzhi Li overall

  1. Junke Wang
  2. Yisroel Mirsky
  3. Yotam Nitzan
  4. Hasam Khalid
  5. Renwang Chen
  6. Zuxuan Wu
  7. Zhiyuan Yan
  8. Yong Zhang
  9. Alexandros Haliassos
  10. Yucheng Luo

Papers from Lingzhi Li's perspective

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

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

Their papers