Liekang Zeng

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 62 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Liekang Zeng trusts overall

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

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

Who trusts Liekang Zeng overall

  1. Julian Togelius
  2. Qiong Wu
  3. Khaled Ben Letaief
  4. Md Maruf Hossain Shuvo

Papers from Liekang Zeng's perspective

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

Their papers