Han Zhu

Artificial Intelligence · with Li · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Han Zhu trusts overall

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

  1. Steffen Rendle
  2. Yoshua Bengio
  3. Dekang Lin
  4. Alina Beygelzimer
  5. Sergey Ioffe
  6. David S. Evans
  7. Andrew Y. Ng
  8. Geoffrey E. Hinton
  9. Tomas Mikolov
  10. Ilya Sutskever

Who trusts Han Zhu overall

  1. Qi Pi
  2. Xiao Ma
  3. Yukuo Cen
  4. Guorui Zhou

Papers from Han Zhu's perspective

Ordered by how strongly the researchers Han Zhu 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers