Shuheng Shen

Optimization & Training · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shuheng Shen trusts overall

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

  1. Yann LeCun
  2. Sebastian U. Stich
  3. Christian Szegedy
  4. Sergey Ioffe
  5. Hao Yu
  6. Yoon Kim
  7. Geoffrey E. Hinton
  8. Hang Su
  9. Alex Krizhevsky
  10. Yoshua Bengio

Who trusts Shuheng Shen overall

  1. Farzin Haddadpour
  2. Filip Hanzely
  3. Ahmed Khaled
  4. Xinmeng Huang
  5. Peter Richtárik

Papers from Shuheng Shen's perspective

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

Their papers