Haoying Li

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haoying Li trusts overall

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

  1. Diederik P. Kingma
  2. Jimmy Ba
  3. Jiwon Kim
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Chao Dong
  7. Alex Krizhevsky
  8. Zhifeng Kong
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Haoying Li overall

  1. Zongsheng Yue
  2. Ziwei Luo
  3. Jay Whang
  4. Andreas Blattmann
  5. Bin Xia
  6. Ling Yang
  7. Sicheng Gao
  8. Zhengxiong Luo
  9. Jianyi Wang
  10. Fan Bao

Papers from Haoying Li's perspective

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

Their papers