Yanghan Wang

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 111 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Yanghan Wang trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Ronald J. Williams
  7. Barret Zoph
  8. X. Zhang
  9. Karen Simonyan
  10. Yann LeCun

Who trusts Yanghan Wang overall

  1. Zhen Dong
  2. Zi-Mei Yao
  3. A. Gholami
  4. Bichen Wu
  5. Zichao Guo
  6. Qing Jin
  7. Chenfeng Xu
  8. Kurt Keutzer
  9. Xiaoliang Dai
  10. Sehoon Kim

Papers from Yanghan Wang's perspective

Ordered by how strongly the researchers Yanghan 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  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