Ming Yang

Natural Language Processing · with Hu · 2015

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 Ming Yang trusts

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

  1. Xavier Glorot (in Optimization & Training)
  2. Yoshua Bengio (in Optimization & Training)
  3. Christopher D. Manning (in Natural Language Processing)

Papers from Ming Yang's perspective

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

  1. GloVe: Global Vectors for Word Representation
  2. Understanding the difficulty of training deep feedforward neural networks
  3. Speech recognition with deep recurrent neural networks
  4. ImageNet classification with deep convolutional neural networks
  5. Word Representations: A Simple and General Method for Semi-Supervised Learning
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Semantic Compositionality through Recursive Matrix-Vector Spaces
  8. Gradient-based learning applied to document recognition
  9. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
  10. Long Short-Term Memory

Their papers