Yaohui Wang

Computer Vision and Pattern Recognition · International Conference on Learning Representations · 2023–2024

A researcher in the Science corpus: 5 papers; trusts 309 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yaohui Wang trusts overall

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

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

Who trusts Yaohui Wang overall

  1. Haoxin Chen
  2. Kepan Nan
  3. Ziqi Huang
  4. Yaofang Liu
  5. Yixin Liu
  6. Xiaodong Cun
  7. Yong Zhang

Papers from Yaohui Wang's perspective

Ordered by how strongly the researchers Yaohui 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers