Ding Liang

Computer Vision and Pattern Recognition · 2015–2023

A researcher in the Science corpus: 9 papers; trusts 1,003 researchers and is trusted by 241 researchers here, as inferred from the citation graph.

Subfields

Whom Ding Liang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Christian Szegedy
  8. Andrew Zisserman
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Ding Liang overall

  1. Xue Yang
  2. Mei Wang
  3. Ira Kemelmacher-Shlizerman
  4. Wenhai Wang
  5. Daniel Miller
  6. Jianwei Yang
  7. Xi Yin
  8. Lior Wolf
  9. Adam Polyak
  10. Jing Zhang

Papers from Ding Liang's perspective

Ordered by how strongly the researchers Ding Liang 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers