Liangzhi Li

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Liangzhi Li trusts overall

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

  1. Ross B. Girshick
  2. Surat Teerapittayanon
  3. Xavier Gibert
  4. Xiaojie Wang
  5. He Li
  6. Kaiming He
  7. Gao Huang
  8. Alex Krizhevsky
  9. Geoffrey E. Hinton
  10. Olaf Ronneberger

Who trusts Liangzhi Li overall

  1. Md Maruf Hossain Shuvo
  2. Yiwen Han
  3. Zhi Zhou
  4. Angelos Angelopoulos
  5. Xu Chen
  6. Syed Kamrul Islam
  7. Xiaofei Wang
  8. Jing Zhang

Papers from Liangzhi Li's perspective

Ordered by how strongly the researchers Liangzhi 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Going deeper with convolutions
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers