Hao Luo

Artificial Intelligence · with Chen · 2013

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

Subfields

Whom Hao Luo trusts overall

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

  1. Bin Li
  2. Qiang Yang
  3. Chris H. Q. Ding
  4. Daniel D. Lee

Papers from Hao Luo's perspective

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

  1. A Survey on Transfer Learning
  2. Orthogonal nonnegative matrix t-factorizations for clustering (Knowledge Discovery and Data Mining)
  3. Algorithms for Non-negative Matrix Factorization
  4. Flexible Mixture Model for Collaborative Filtering (International Conference on Machine Learning)
  5. Factorization meets the neighborhood: a multifaceted collaborative filtering model
  6. Transfer Learning in Collaborative Filtering for Sparsity Reduction
  7. Transfer learning for collaborative filtering via a rating-matrix generative model
  8. Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction
  9. Convex and Semi-Nonnegative Matrix Factorizations
  10. Topic-bridged PLSA for cross-domain text classification

Their papers