Mi Xiao

Computational Theory and Mathematics · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mi Xiao trusts overall

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

  1. Xiaoping Du
  2. Junfu Zhang
  3. Chao Jiang
  4. Harish Agarwal
  5. Holger Wendland
  6. Glenn Shafer
  7. Robert Lin
  8. Ramana V. Grandhi
  9. Zheng Zhang
  10. John E. Renaud

Papers from Mi Xiao's perspective

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

  1. Uncertainty Analysis With Probability and Evidence Theories (Design Automation Conference)
  2. Sensitivity Analysis with Mixture of Epistemic and Aleatory Uncertainties
  3. Epistemic uncertainty quantification techniques including evidence theory for large-scale structures
  4. Analysis of support vector regression for approximation of complex engineering analyses (Design Automation Conference)
  5. Combination of Evidence in Dempster-Shafer Theory
  6. Uncertainty quantification using evidence theory in multidisciplinary design optimization (Reliability Engineering & System Safety)
  7. Doing Topology Optimization Explicitly and Geometrically—A New Moving Morphable Components Based Framework
  8. A Second-Order Reliability Method With First-Order Efficiency
  9. Error and uncertainty in modeling and simulation (Reliability Engineering & System Safety)
  10. A Mathematical Theory of Evidence (A Mathematical Theory of Evidence)

Their papers