Kong Aik LEE

Artificial Intelligence · 2004–2022

A researcher in the Science corpus: 10 papers; trusts 38 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Kong Aik LEE trusts overall

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

  1. Patrick Kenny
  2. Najim Dehak
  3. Douglas A. Reynolds
  4. Vladimir Naumovich Vapni
  5. Daniel Garcia-Romero
  6. David Ruppert
  7. Li Deng
  8. Geoffrey E. Hinton
  9. A. Acero
  10. William M. Campbell

Who trusts Kong Aik LEE overall

  1. Peng Shen
  2. Ehsan Variani

Papers from Kong Aik LEE's perspective

Ordered by how strongly the researchers Kong Aik LEE 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. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. WaveNet: A Generative Model for Raw Audio
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers