Xin Sun

Artificial Intelligence · with Ling · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Sun trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Kaiming He
  4. Abhijit Bendale
  5. Geoffrey E. Hinton
  6. Walter J. Scheirer
  7. Terrance E. Boult
  8. David Martinus Johannes Tax
  9. Larry Michael Manevitz
  10. Chong Zhou

Who trusts Xin Sun overall

  1. Da-Wei Zhou
  2. Sagar Vaze
  3. Mengyu Wang
  4. Chi Zhang
  5. Han-Jia Ye
  6. Weide Liu
  7. Kai Han

Papers from Xin Sun's perspective

Ordered by how strongly the researchers Xin Sun 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. 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. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers