Z. J. Wang

Computer Vision and Pattern Recognition · with Liao · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Z. J. Wang trusts overall

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

  1. Alex Krizhevsky
  2. Xavier Glorot
  3. Paul Wohlhart
  4. Jens Harald Krüger
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Ilya Sutskever
  8. Primoz Markelj
  9. Yangqing Jia

Who trusts Z. J. Wang overall

  1. Xiao Yang
  2. Bob D. de Vos
  3. Floris F. Berendsen
  4. Roland Kwitt
  5. Hessam Sokooti
  6. Rui Liao
  7. Mingxia Liu
  8. Seyed Sadegh Mohseni Salehi
  9. Justin Ker
  10. Shun Miao

Papers from Z. J. Wang's perspective

Ordered by how strongly the researchers Z. J. Wang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Understanding the difficulty of training deep feedforward neural networks
  10. Going deeper with convolutions

Their papers