Li Yu

with Liu · 2006

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Li Yu trusts overall

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

  1. Jeffrey L. Elman
  2. Michael Casey

Papers from Li Yu's perspective

Ordered by how strongly the researchers Li Yu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Finding Structure in Time
  2. The problem of learning long-term dependencies in recurrent networks
  3. The Dynamics of Discrete-Time Computation, with Application to Recurrent Neural Networks and Finite State Machine Extraction
  4. On global asymptotic stability of neural networks with discrete and distributed delays
  5. Gradient-based learning applied to document recognition
  6. ImageNet classification with deep convolutional neural networks
  7. ImageNet: A large-scale hierarchical image database
  8. This PDF file includes: Materials and Methods
  9. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  10. Learning internal representations by error propagation

Their papers