Jianying Hu

Artificial Intelligence · 2010–2019

A researcher in the Science corpus: 9 papers; trusts 36 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Jianying Hu trusts overall

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

  1. Geoffrey E. Hinton
  2. Radford M. Neal
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Yann LeCun
  6. Karen Simonyan
  7. Fei Wang
  8. Ilya Sutskever
  9. Matthew D. Zeiler
  10. Diederik P. Kingma

Who trusts Jianying Hu overall

  1. Wei Zhang
  2. Fei Wang
  3. Xiaofeng He
  4. Hongyuan Zha
  5. Anita M. Preininger
  6. Cao Xiao

Papers from Jianying Hu's perspective

Ordered by how strongly the researchers Jianying Hu 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers