Wei Rao

Signal Processing · with Cheng · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Rao trusts overall

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

  1. Paris Smaragdis
  2. Patrik O. Hoyer
  3. Zhuo Chen
  4. Diederik P. Kingma
  5. John R. Hershey
  6. Nal Kalchbrenner
  7. Emmanuel Vincent
  8. Jonathan Le Roux
  9. Jimmy Ba
  10. Hakan Erdogan

Papers from Wei Rao's perspective

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

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

Their papers