Ze Hu

Management Science and Operations Research · 2021

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ze Hu trusts overall

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

  1. Ha Young Kim
  2. Przemysław Buczkowski
  3. Leonardo dos Santos Pinheiro
  4. Ritika Singh
  5. Zhixi Li
  6. Masaya Abe
  7. Ehsan Hoseinzade
  8. Pengfei Yu
  9. Xiao Ding
  10. Martin Sundermeyer

Papers from Ze Hu's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Dropout: a simple way to prevent neural networks from overfitting
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers