Zhiquan Ren

2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Whom Zhiquan Ren trusts overall

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

  1. Paul J. Werbos
  2. Yoshua Bengio

Who trusts Zhiquan Ren overall

  1. Weiwei Jiang
  2. Longbing Cao
  3. David W. Lu

Papers from Zhiquan Ren's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Learning Deep Architectures for AI
  3. ImageNet classification with deep convolutional neural networks
  4. Speech recognition with deep recurrent neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  8. Learning long-term dependencies with gradient descent is difficult
  9. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
  10. Long Short-Term Memory

Their papers