Xiaojun Jia

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaojun Jia trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Ian J. Goodfellow
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Christian Szegedy
  7. X. Zhang
  8. Yoshua Bengio
  9. Alexey Kurakin
  10. Jia Deng

Who trusts Xiaojun Jia overall

  1. Naveed Akhtar
  2. Jiadong Lin
  3. Ajmal Saeed Mian

Papers from Xiaojun Jia's perspective

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

Their papers