Lixin Cui

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lixin Cui trusts

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

  1. John Scott Bridle (in Probabilistic & Bayesian Methods)
  2. Diederik P. Kingma (in Artificial Intelligence)
  3. Jimmy Ba (in Artificial Intelligence)

Papers from Lixin Cui's perspective

Ordered by how strongly the researchers Lixin Cui 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Learning to Forget: Continual Prediction with LSTM
  4. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
  5. Deep Learning
  6. Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition
  7. Fast image scanning with deep max-pooling convolutional neural networks
  8. Fast subtree kernels on graphs
  9. Reservoir computing approaches to recurrent neural network training
  10. Banking Market Structure, Financial Dependence and Growth: International Evidence from Industry Data

Their papers