Sheng-Tang Wu

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng-Tang Wu trusts overall

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

  1. Thorsten Joachims
  2. Stephen E. Robertson
  3. Jiawei Han
  4. Robert E. Schapire
  5. Jian Pei
  6. Corinna Cortes
  7. Yiming Yang
  8. Alexander Maedche
  9. Karen Spärck Jones
  10. Xifeng Yan

Papers from Sheng-Tang Wu's perspective

Ordered by how strongly the researchers Sheng-Tang Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Support-Vector Networks
  2. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  3. An algorithm for suffix stripping
  4. Term-Weighting Approaches in Automatic Text Retrieval
  5. ImageNet classification with deep convolutional neural networks
  6. A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
  7. Relevance feedback in information retrieval
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers