Fangze Zhu

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Fangze Zhu trusts overall

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

  1. Chin-Yew Lin
  2. Matthew D. Zeiler
  3. Dzmitry Bahdanau
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Geoffrey E. Hinton

Who trusts Fangze Zhu overall

  1. Ayana
  2. Shiqi Shen

Papers from Fangze Zhu's perspective

Ordered by how strongly the researchers Fangze Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers