Fei Xiang

Signal Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Xiang trusts

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

  1. Andreas Stolcke (in Artificial Intelligence)
  2. Sergey Ioffe (in Artificial Intelligence)
  3. Daniel Povey (in Artificial Intelligence)
  4. Sanjeev Khudanpur (in Artificial Intelligence)
  5. Vijayaditya Peddinti (in Artificial Intelligence)

Papers from Fei Xiang's perspective

Ordered by how strongly the researchers Fei Xiang 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. GENERATIVE ADVERSARIAL NETS
  3. Understanding the difficulty of training deep feedforward neural networks
  4. The Kaldi Speech Recognition Toolkit
  5. Image-to-Image Translation with Conditional Adversarial Networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Long Short-Term Memory
  8. Conditional Generative Adversarial Nets
  9. ImageNet classification with deep convolutional neural networks
  10. Long short-term memory recurrent neural network architectures for large scale acoustic modeling

Their papers