Xin Jin

Artificial Intelligence · with He · 2015

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

Subfields

Whom Xin Jin trusts overall

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

  1. Mark Dredze
  2. David G. Lowe
  3. Koby Crammer
  4. Rie Kubota Ando
  5. John Blitzer
  6. Shipeng Yu
  7. Xu Sun
  8. Avishek Saha
  9. Peilin Zhao
  10. Fernando C Pereira

Who trusts Xin Jin overall

  1. Mohammad Rostami
  2. Wentai Wu

Papers from Xin Jin's perspective

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

Their papers