Huawei Shen

Artificial Intelligence · 2008–2021

A researcher in the Science corpus: 10 papers; trusts 82 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Huawei Shen trusts overall

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

  1. Mark Newman
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Ruslan Salakhutdinov
  7. Ilya Sutskever
  8. Tomas Mikolov
  9. Kaiming He
  10. Alex Krizhevsky

Who trusts Huawei Shen overall

  1. Jierui Xie
  2. Punam Bedi
  3. Michele Coscia
  4. Qi Cao
  5. Qingyuan Zhao
  6. Chhavi Sharma
  7. Boleslaw K. Szymanski
  8. Santo Fortunato
  9. Fosca Giannotti
  10. Stephen Kelley

Papers from Huawei Shen's perspective

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

Their papers