Wen Heng

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 205 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Wen Heng trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Simon Niklaus
  4. Sergey Ioffe
  5. Alex Krizhevsky
  6. Christian Szegedy
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Karen Simonyan
  10. Yann LeCun

Who trusts Wen Heng overall

  1. Xiangxiang Chu
  2. Yukang Chen

Papers from Wen Heng's perspective

Ordered by how strongly the researchers Wen Heng 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. ImageNet Large Scale Visual Recognition Challenge
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  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