Wei Yang

Artificial Intelligence · with Gunter · 2013–2020

A researcher in the Science corpus: 6 papers; trusts 51 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Yang trusts overall

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

  1. Nicolas Papernot
  2. J. Ross Quinlan
  3. Patrick Drew McDaniel
  4. Geoffrey E. Hinton
  5. Ian J. Goodfellow
  6. Yann LeCun
  7. Yajin Zhou
  8. Saswat Anand
  9. Diederik P. Kingma
  10. Alex Krizhevsky

Who trusts Wei Yang overall

  1. Alessandra Gorla
  2. Ke Mao
  3. Wontae Choi
  4. Riyadh Mahmood
  5. Fabio Pierazzi
  6. Bargav Jayaraman
  7. Ting Su
  8. Ilaria Tavecchia
  9. Mark Harman
  10. George C. Necula

Papers from Wei Yang's perspective

Ordered by how strongly the researchers Wei Yang 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers