Liheng Zhang

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 300 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Liheng Zhang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Kaiming He
  6. Guo-Jun Qi
  7. Yann LeCun
  8. Pascal Vincent
  9. Ilya Sutskever
  10. Sepp Hochreiter

Who trusts Liheng Zhang overall

  1. Weiwei Jiang
  2. Guo-Jun Qi
  3. Yonglong Tian
  4. Xiangli Yang
  5. Hankook Lee
  6. Xiao Wang
  7. Florian Bordes
  8. Guodong Xu
  9. Xiaotao Wei
  10. Zixing Song

Papers from Liheng Zhang's perspective

Ordered by how strongly the researchers Liheng Zhang 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers