Qiang Wang

Computer Vision and Pattern Recognition · with Zhang · 2019

A researcher in the Science corpus: 1 paper; trusts 94 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qiang Wang trusts overall

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

  1. Alex Krizhevsky
  2. Barret Zoph
  3. Ronald J. Williams
  4. Kaiming He
  5. Diederik P. Kingma
  6. Geoffrey E. Hinton
  7. Sepp Hochreiter
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Yann LeCun

Who trusts Qiang Wang overall

  1. Sen Wu
  2. Yong Zhang
  3. Qingsong Wen
  4. Yibing Song
  5. Hongyang Zhang
  6. Liang Sun

Papers from Qiang Wang's perspective

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

Their papers