Dong Liang

Artificial Intelligence · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dong Liang trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Sepp Hochreiter
  4. Geoffrey E. Hinton
  5. Yoon Kim
  6. J. Urgen Schmidhuber
  7. Dzmitry Bahdanau
  8. Xavier Glorot
  9. Jimmy Ba

Papers from Dong Liang's perspective

Ordered by how strongly the researchers Dong 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. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. GloVe: Global Vectors for Word Representation
  10. ImageNet: A large-scale hierarchical image database

Their papers