Chengrun Qiu

Electrical and Electronic Engineering · 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 Chengrun Qiu 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
  5. Andrew Barto
  6. Timothy P. Lillicrap
  7. Purushottam Kulkarni
  8. Wei Li
  9. Sergey Ioffe
  10. Sennur Ulukus

Papers from Chengrun Qiu's perspective

Ordered by how strongly the researchers Chengrun Qiu 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Energy Harvesting Wireless Communications: A Review of Recent Advances (IEEE Journal on Selected Areas in Communications)
  9. Energy Harvesting Sensor Nodes: Survey and Implications (IEEE Communications Surveys and Tutorials)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers