Xuehai Zhou

Artificial Intelligence · 2015–2016

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

Subfields

Whom Xuehai Zhou trusts

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

  1. Geoffrey E. Hinton (in Artificial Intelligence)
  2. Naomi S. Altman (in Evaluation & Benchmarks)

Papers from Xuehai Zhou's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Training Products of Experts by Minimizing Contrastive Divergence
  3. A unified architecture for natural language processing: deep neural networks with multitask learning
  4. Building high-level features using large scale unsupervised learning
  5. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
  6. Deep Learning
  7. Flexible, High Performance Convolutional Neural Networks for Image Classification
  8. Approximation by superpositions of a sigmoidal function
  9. NeuFlow: A runtime reconfigurable dataflow processor for vision
  10. Top Downloads in IEEE Xplore [Reader's Choice]

Their papers