Yun Lei

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Yun Lei trusts overall

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

  1. Douglas A. Reynolds
  2. William M. Campbell
  3. Patrick Kenny
  4. Geoffrey E. Hinton
  5. Najim Dehak
  6. Thomas F. Quatieri
  7. Douglas E. Sturim
  8. Pierre Ouellet
  9. Li Deng
  10. Pavel Matejka

Who trusts Yun Lei overall

  1. David Snyder
  2. Ming Li
  3. Daniel Garcia-Romero
  4. Fred Richardson
  5. Zhongxin Bai
  6. Weicheng Cai
  7. Koji Okabe
  8. Daniel Povey
  9. Yan Song
  10. Andros Tjandra

Papers from Yun Lei's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Speaker Verification Using Adapted Gaussian Mixture Models
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. A Study of Interspeaker Variability in Speaker Verification (IEEE Transactions on Audio, Speech, and Language Processing)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers