Chen Liang

Artificial Intelligence · with Giles · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Liang trusts overall

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

  1. Richard Socher
  2. Ronan Collobert
  3. Tomas Mikolov
  4. Geoffrey E. Hinton
  5. Michael U Gutmann

Who trusts Chen Liang overall

  1. Kyle Lo

Papers from Chen Liang's perspective

Ordered by how strongly the researchers Chen Liang 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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. A unified architecture for natural language processing: deep neural networks with multitask learning
  9. Recurrent neural network based language model
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers