Yikang Li

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 6 papers; trusts 871 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Yikang Li trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Shaoqing Ren
  8. Yann LeCun
  9. Ilya Sutskever
  10. Li Fei-Fei

Who trusts Yikang Li overall

  1. Peng Gao
  2. Xiaojun Chang
  3. Jiuxiang Gu
  4. Wanli Ouyang
  5. Jianwei Yang
  6. Pan Lu
  7. Sang-Min Park
  8. Johanna Wald
  9. Cheng Zhang
  10. Yuren Cong

Papers from Yikang Li's perspective

Ordered by how strongly the researchers Yikang Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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