Lan Wang

Artificial Intelligence · with Gales · 2010

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lan Wang trusts overall

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

  1. Daniel Povey
  2. Frank Wessel
  3. Laurence S. Gillick

Papers from Lan Wang's perspective

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

  1. Lightly supervised and unsupervised acoustic model training
  2. Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error
  3. Unsupervised Training on Large Amounts of Broadcast News Data
  4. Minimum Phone Error and I-smoothing for improved discriminative training
  5. Some statistical issues in the comparison of speech recognition algorithms
  6. Unsupervised training of acoustic models for large vocabulary continuous speech recognition
  7. Improving Generalization with Active Learning
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. UTILIZING UNTRANSCRIBED TRAINING DATA TO IMPROVE PERFORMANCE
  10. Long Short-Term Memory

Their papers