Yu-dong Yao

Computer Networks and Communications · 2010–2019

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu-dong Yao trusts

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

  1. Simon S. Haykin (in Computer Networks and Communications)
  2. Stephen P. Boyd (in Computer Networks and Communications)
  3. Sunil Kandukuri (in Computer Networks and Communications)
  4. Richard S. Sutton (in Reinforcement Learning)
  5. Andrew Barto (in Reinforcement Learning)

Papers from Yu-dong Yao's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Going deeper with convolutions
  3. Caffe: Convolutional Architecture for Fast Feature Embedding
  4. Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels (IEEE Transactions on Information Theory)
  5. Cooperative diversity in wireless networks: Efficient protocols and outage behavior (IEEE Transactions on Information Theory)
  6. A Comprehensive Survey of Multiagent Reinforcement Learning
  7. Cognitive radio: brain-empowered wireless communications (IEEE Journal on Selected Areas in Communications)
  8. Adaptive Channel Allocation Spectrum Etiquette for Cognitive Radio Networks (First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005.)
  9. Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks (IEEE Transactions on Wireless Communications)
  10. Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework (IEEE Journal on Selected Areas in Communications)

Their papers