Yangzihao Wang

Artificial Intelligence · 2015–2018

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 Yangzihao Wang trusts overall

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

  1. U. Brandes
  2. Duane Merrill
  3. Jeremy G. Siek
  4. Joseph E. Gonzalez
  5. Michael Garland
  6. Yucheng Low
  7. Lie-Quan Lee

Who trusts Yangzihao Wang overall

  1. Tae Jun Ham

Papers from Yangzihao Wang's perspective

Ordered by how strongly the researchers Yangzihao 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. ImageNet: A large-scale hierarchical image database
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
  9. Learning Multiple Layers of Features from Tiny Images
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers