Peilin Zhong

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 4 papers; trusts 69 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Peilin Zhong trusts overall

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

  1. Kenneth L. Clarkson
  2. David P. Woodruff
  3. Tamás Sarlós
  4. Dan Feldman
  5. R. Kannan
  6. Ali Rahimi
  7. Piotr Indyk
  8. Edo Liberty
  9. Y-Lan Boureau
  10. Geoffrey E. Hinton

Who trusts Peilin Zhong overall

  1. Zhao Song
  2. Oren Z. Kraus

Papers from Peilin Zhong's perspective

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

Their papers