Jianhua Lu

Artificial Intelligence · IEEE Journal on Selected Areas in Communications · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianhua Lu trusts overall

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

  1. Huiqiang Xie
  2. Geoffrey E. Hinton
  3. Ian J. Goodfellow
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Zhijin Qin
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Kaiming He
  10. Ilya Sutskever

Papers from Jianhua Lu's perspective

Ordered by how strongly the researchers Jianhua Lu 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers