Yang Hu

Electrical and Electronic Engineering · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Hu trusts overall

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

  1. Richard S. Sutton
  2. Sujesha Sudevalayam
  3. Meng-Lin Ku
  4. Omur Ozel

Papers from Yang Hu's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Reinforcement Learning: An Introduction
  3. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  4. Transmission with Energy Harvesting Nodes in Fading Wireless Channels: Optimal Policies (IEEE Journal on Selected Areas in Communications)
  5. Energy Harvesting Wireless Communications: A Review of Recent Advances (IEEE Journal on Selected Areas in Communications)
  6. Energy Harvesting Sensor Nodes: Survey and Implications (IEEE Communications Surveys and Tutorials)
  7. Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (IEEE Communications Surveys and Tutorials)
  8. On the general BER expression of one- and two-dimensional amplitude modulations (IEEE Transactions on Communications)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gradient-based learning applied to document recognition

Their papers