Xiaowei Yan

Knowledge Discovery and Data Mining · 2018

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

Papers from Xiaowei Yan's perspective

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

  1. Learning the parts of objects by non-negative matrix factorization
  2. Multi-Way Analysis: Applications in the Chemical Sciences
  3. Efficient MATLAB Computations with Sparse and Factored Tensors (SIAM Journal on Scientific Computing)
  4. Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations (IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences)
  5. Orthogonal nonnegative matrix t-factorizations for clustering (Knowledge Discovery and Data Mining)
  6. The Expression of a Tensor or a Polyadic as a Sum of Products
  7. PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations
  8. Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods
  9. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition
  10. Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons (SIAM Journal on Scientific Computing)

Their papers