Changhu Wang

Computer Vision and Pattern Recognition · arXiv.org · 2010–2021

A researcher in the Science corpus: 11 papers; trusts 1,386 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Changhu Wang trusts overall

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

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

Who trusts Changhu Wang overall

  1. Thomas Elsken
  2. Zhichao Lu
  3. George Philipp
  4. Wei Ma
  5. Lemeng Wu
  6. Jan Hendrik Metzen
  7. Jianwei Yang
  8. Igor Fedorov
  9. Doyen Sahoo
  10. Chenhan Jiang

Papers from Changhu Wang's perspective

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

Their papers