S. Ji

Artificial Intelligence · with Wang · 2014–2020

A researcher in the Science corpus: 8 papers; trusts 661 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom S. Ji trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Cynthia Dwork
  8. Christian Szegedy
  9. Yann LeCun
  10. Karen Simonyan

Who trusts S. Ji overall

  1. Sergey I. Nikolenko
  2. Edward Chou
  3. Venkatadheeraj Pichapati
  4. Lei Yu
  5. Changchang Liu
  6. Di Jin
  7. M. V. Koroteev
  8. Sarah Wiegreffe
  9. Eugene Bagdasarian
  10. Ananda Theertha Suresh

Papers from S. Ji's perspective

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

Their papers