Jiang-Xin Shi

2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jiang-Xin Shi trusts overall

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

  1. Min-Ling Zhang
  2. Zhen Wang
  3. Zhi-Hua Zhou
  4. Chih-Kuan Yeh
  5. Kush Bhatia
  6. Jinseok Nam

Papers from Jiang-Xin Shi's perspective

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

Their papers