Lantian Li

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lantian Li trusts overall

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

  1. Sergey Ioffe
  2. Daniel Povey
  3. Geoffrey E. Hinton
  4. Patrick Kenny
  5. Douglas A. Reynolds
  6. L. V. D. van der Maaten
  7. Najim Dehak
  8. William M. Campbell
  9. David Snyder
  10. Georg Heigold

Papers from Lantian Li's perspective

Ordered by how strongly the researchers Lantian Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers