Z. J. Wang

Computer Vision and Pattern Recognition · with Chen · 2013–2021

A researcher in the Science corpus: 4 papers; trusts 334 researchers and is trusted by 7 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. David G. Lowe
  2. John Blitzer
  3. Hal Daumé Iii
  4. Geoffrey E. Hinton
  5. Navneet Dalal
  6. Lixin Duan
  7. Christopher Evans
  8. Alex Krizhevsky
  9. Kaiming He
  10. Yoshua Bengio

Who trusts Z. J. Wang overall

  1. Hui Li
  2. Jiayi Ma
  3. Xiaojun Wu
  4. Han Xu

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

Their papers