Ziliang Zong

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 4 papers; trusts 120 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ziliang Zong trusts overall

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

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

Who trusts Ziliang Zong overall

  1. Rajkumar Buyya
  2. Blesson Varghese

Papers from Ziliang Zong's perspective

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

Their papers