Shenghui Song

Computer Networks and Communications · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Shenghui Song trusts overall

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

  1. L. Eon Bottou
  2. Yann LeCun
  3. Kevin P. Murphy
  4. Alex Krizhevsky
  5. Kaiming He
  6. Shiqiang Wang
  7. H. Brendan McMahan
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Amir Beck

Who trusts Shenghui Song overall

  1. Yuanming Shi
  2. Latif Ullah Khan
  3. Jinhyun So
  4. Changsheng You
  5. Emilio Calvanese Strinati
  6. Changyang She

Papers from Shenghui Song's perspective

Ordered by how strongly the researchers Shenghui Song 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  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