Yu Wang

Artificial Intelligence · with Gui · 2019

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

Subfields

Whom Yu Wang trusts overall

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

  1. Tim O'Shea
  2. Jakob Hoydis

Papers from Yu Wang's perspective

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

  1. An Introduction to Deep Learning for the Physical Layer
  2. State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems
  3. Deep learning for wireless physical layer: Opportunities and challenges (China Communications)
  4. Cognitive radio networking and communications: an overview (IEEE Transactions on Vehicular Technology)
  5. Deep Learning
  6. ImageNet classification with deep convolutional neural networks
  7. A Fast Learning Algorithm for Deep Belief Nets
  8. Large Scale Distributed Deep Networks
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers