Hai Jin

Computer Networks and Communications · 2006–2021

A researcher in the Science corpus: 12 papers; trusts 180 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Hai Jin trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Karen Simonyan
  6. Christian Szegedy
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Ross B. Girshick

Who trusts Hai Jin overall

  1. Jie Ren
  2. Timothy Wood
  3. Hiroaki Sasaki
  4. Michael Fu
  5. Guanjun Lin
  6. Yi Li
  7. Samyam Rajbhandari

Papers from Hai Jin's perspective

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

Their papers