Min Zhang

Artificial Intelligence · with Su · 2004–2016

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Min Zhang trusts overall

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

  1. Philipp Koehn
  2. Arthur P. Dempster
  3. Kyunghyun Cho

Who trusts Min Zhang overall

  1. Li Deng
  2. Dong Yang
  3. Nadir Durrani

Papers from Min Zhang's perspective

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

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

Their papers