Jie Gao

Computer Networks and Communications · with Li · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Gao trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Song Han
  5. Ilya Sutskever
  6. Mohammad Mohammadi Amiri
  7. Takayuki Nishio
  8. Nachiket Deo
  9. Nan Cheng
  10. Yong Zeng

Papers from Jie Gao's perspective

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

Their papers