Jing Shi

Artificial Intelligence · with Xu · 2020–2022

A researcher in the Science corpus: 5 papers; trusts 218 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Shi trusts overall

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

  1. Yi Luo
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Graves
  5. Ilya Sutskever
  6. Ronald J. Williams
  7. Oriol Vinyals
  8. Dong Yu
  9. Diederik P. Kingma
  10. Kaiming He

Who trusts Jing Shi overall

  1. Chenpeng Du

Papers from Jing Shi's perspective

Ordered by how strongly the researchers Jing Shi 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. 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers