Yu Wang

Artificial Intelligence · with Gales · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Wang trusts

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

  1. Andrew McCallum (in Artificial Intelligence)
  2. Hermann Ney (in Artificial Intelligence)
  3. Mike Schuster (in Natural Language Processing)
  4. Charles Sutton (in Artificial Intelligence)
  5. Kuldip K. Paliwal (in Natural Language Processing)
  6. M. Bisani (in Artificial Intelligence)
  7. Jesse Davis (in Artificial Intelligence)
  8. Mark H. Goadrich (in Artificial Intelligence)
  9. Daniel Povey (in Artificial Intelligence)
  10. Sanjeev Khudanpur (in Artificial Intelligence)

Who trusts Yu Wang

  1. Andrey Malinin (in Artificial Intelligence)
  2. Mark John Francis Gales (in Artificial Intelligence)

Papers from Yu Wang's perspective

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

  1. Bidirectional recurrent neural networks
  2. The Kaldi Speech Recognition Toolkit
  3. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  4. Low Latency Acoustic Modeling Using Temporal Convolution and LSTMs
  5. The microsoft 2016 conversational speech recognition system
  6. Unsupervised Training on Large Amounts of Broadcast News Data
  7. Joint-sequence models for grapheme-to-phoneme conversion
  8. The relationship between Precision-Recall and ROC curves
  9. An Introduction to Conditional Random Fields (Found. Trends Mach. Learn.)
  10. Conversational AI: The Science Behind the Alexa Prize

Their papers