Ying Xiao

Artificial Intelligence · with Saurous · 2017–2018

A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Xiao trusts overall

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

  1. Alex Graves
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Sergey Ioffe
  6. Dzmitry Bahdanau
  7. Kyunghyun Cho
  8. Ilya Sutskever
  9. Oriol Vinyals
  10. Jimmy Ba

Who trusts Ying Xiao overall

  1. Wei-Ning Hsu
  2. Xu Tan
  3. Yibin Zheng
  4. Jianhua Tao
  5. Rafael Valle
  6. Shan Yang
  7. Rui Liu
  8. Yu Zhang
  9. Gustav Eje Henter
  10. Sang-Hoon Lee

Papers from Ying Xiao's perspective

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

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

Their papers