Fei Xiao

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Xiao trusts overall

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

  1. Jerome H. Friedman
  2. Tie-Yan Liu

Papers from Fei Xiao's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Rapid object detection using a boosted cascade of simple features
  3. The impact of caching on search engines
  4. Robust object detection via soft cascade
  5. Learning to rank for information retrieval
  6. Learning classifiers from only positive and unlabeled data
  7. Yahoo! Learning to Rank Challenge Overview
  8. Wide & Deep Learning for Recommender Systems
  9. Industry Report: Amazon.com Recommendations: Item-to-Item Collaborative Filtering
  10. ImageNet classification with deep convolutional neural networks

Their papers