Yan Huang

Signal Processing · with Gong · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Huang trusts overall

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

  1. Daniel Povey
  2. Dong Yu
  3. George E. Dahl
  4. Israel Cohen
  5. Li Deng
  6. Jeff Z. Ma
  7. Brian Kingsbury
  8. Geoffrey E. Hinton
  9. Hasim Sak
  10. Yoshua Bengio

Who trusts Yan Huang overall

  1. Thomas Drugman
  2. Karel Veselý
  3. Olga Kapralova
  4. Janne Pylkkönen
  5. Mirko Hannemann

Papers from Yan Huang's perspective

Ordered by how strongly the researchers Yan Huang 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. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers