Haoran Qiu

Computer Networks and Communications · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haoran Qiu trusts overall

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

  1. Akshitha Sriraman
  2. Joseph Dean
  3. C. Diehl
  4. Matthew E. Taylor
  5. Tania Lorido-Botran
  6. Paul Barham
  7. Daniel Gmach
  8. Pavel Laskov
  9. Luiz André Barroso
  10. Mike Y. Chen

Papers from Haoran Qiu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers