Kangyan Zhou

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Kangyan Zhou trusts overall

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

  1. Andreas Stolcke
  2. Diederik P. Kingma
  3. Ilya Sutskever
  4. Thang Luong
  5. Jimmy Ba
  6. Ryan J. Lowe
  7. Abigail See
  8. Oriol Vinyals
  9. Christopher D. Manning
  10. Geoffrey E. Hinton

Who trusts Kangyan Zhou overall

  1. Xueliang Zhao
  2. Kurt Shuster
  3. Byeongchang Kim
  4. Nouha Dziri
  5. Wei Wu
  6. Houyu Zhang
  7. Yuanyuan Cai
  8. Yan Xu
  9. Can Xu
  10. Jaewoo Ahn

Papers from Kangyan Zhou's perspective

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

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

Their papers