Kangheng Wu

Artificial Intelligence · 2005–2007

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Kangheng Wu trusts overall

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

  1. Thorsten Joachims
  2. Paul Vit¶anyi
  3. Matthew W. Moskewicz
  4. Rakesh Agrawal
  5. R. Fikes
  6. Rayadurgam Srikant

Who trusts Kangheng Wu overall

  1. Masataro Asai
  2. Malik Ghallab
  3. Blai Bonet
  4. F. Ingrand
  5. Ankuj Arora

Papers from Kangheng Wu's perspective

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

  1. Transductive Inference for Text Classification using Support Vector Machines
  2. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  3. Bagging Predictors
  4. A Comparative Study on Feature Selection in Text Categorization
  5. The PageRank Citation Ranking : Bringing Order to the Web
  6. ImageNet classification with deep convolutional neural networks
  7. Ensemble selection from libraries of models
  8. Fast Algorithms for Mining Association Rules
  9. Agglomerative clustering of a search engine query log (Knowledge Discovery and Data Mining)
  10. A sequential algorithm for training text classifiers

Their papers