Peiye Liu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peiye Liu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Sergey Ioffe
  6. X. Zhang
  7. Christian Szegedy
  8. Yoshua Bengio
  9. Shaoqing Ren
  10. Yann LeCun

Who trusts Peiye Liu overall

  1. Linfeng Zhang
  2. Jianping Gou
  3. Inseop Chung
  4. Ruoyu Sun
  5. Chenglong Bao
  6. Baosheng Yu
  7. Seonguk Park

Papers from Peiye Liu's perspective

Ordered by how strongly the researchers Peiye Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers