Shi Jin

Electrical and Electronic Engineering · IEEE Wireless Communications Letters · 2014–2021

A researcher in the Science corpus: 20 papers; trusts 78 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Shi Jin trusts overall

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

  1. T. Marzetta
  2. Chao-Kai Wen
  3. Christopher A. Metzler
  4. Hao Ye
  5. Hien Quoc Ngo
  6. Xiongbin Rao
  7. Erik G. Larsson
  8. Kaiming He
  9. Geoffrey Y. Li
  10. Babak Hassibi

Who trusts Shi Jin overall

  1. Chao-Kai Wen
  2. Geoffrey Y. Li
  3. Zhijin Qin
  4. Peihao Dong
  5. Jiajia Guo
  6. Li Fan
  7. Hengtao He
  8. Hao Ye
  9. Alessio Zappone
  10. Ahmed Alkhateeb

Papers from Shi Jin's perspective

Ordered by how strongly the researchers Shi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers