Wentai Wu

Computer Networks and Communications · 2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wentai Wu trusts overall

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

  1. Takayuki Nishio
  2. H. Brendan McMahan
  3. Song Han
  4. Cong Xie
  5. Shiqiang Wang
  6. Claes Wohlin
  7. Virginia Smith
  8. Zhi Zhou
  9. Inci M. Baytas
  10. Xin Jin

Who trusts Wentai Wu overall

  1. Li Li

Papers from Wentai Wu's perspective

Ordered by how strongly the researchers Wentai Wu 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers