Jinjin Shao

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jinjin Shao trusts overall

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

  1. Chenyan Xiong
  2. Moses Charikar
  3. Piotr Indyk
  4. Monika Henzinger
  5. Jamie Callan
  6. Alexandr Andoni
  7. Zhuyun Dai
  8. Bhaskar Mitra
  9. Aristides Gionis
  10. Sariel Har-Peled

Who trusts Jinjin Shao overall

  1. Sebastian Hofstätter
  2. Sean MacAvaney

Papers from Jinjin Shao's perspective

Ordered by how strongly the researchers Jinjin Shao 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. GloVe: Global Vectors for Word Representation
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers