Le Liang

Electrical and Electronic Engineering · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 28 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Le Liang trusts overall

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

  1. Hao Ye
  2. Geoffrey Y. Li
  3. T. Marzetta
  4. Ming Tan
  5. Sebastian Ruder
  6. Diederik P. Kingma
  7. David Tse
  8. Akbar M. Sayeed
  9. Geoffrey E. Hinton
  10. Richard S. Sutton

Who trusts Le Liang overall

  1. Foad Sohrabi
  2. Hao Ye
  3. Wei Yu
  4. Weiheng Ni
  5. Geoffrey Y. Li
  6. E. de Carvalho
  7. Irfan Ahmed
  8. Andreas F. Molisch
  9. Xiaodai Dong
  10. Robert W. Heath

Papers from Le Liang's perspective

Ordered by how strongly the researchers Le Liang 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. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers