Qiang Yang

TL;DR: This article designs a novel transfer learning solution termed role-based transfer to rank (RoToR), which contains two variants, i.e., integrative Ro toR and sequential RoToR, which aim to simplify the integrative one by decomposing it into two dependent phases according to a typical shopping process and instantiate both variants using different preference learning paradigms.

TL;DR: A novel approach for determining the weights of decision makers (DMs) based on rough group decision in multiple attribute group decision-making (MAGDM) problems can provide more insights into the subjectivity and vagueness of DMs’ evaluations and selections.

TL;DR: This paper proposes a new document representation approach based on n-multigram language models that can automatically discover the hidden semantic sequences in the documents under each category and proposes two text classification algorithms based on this approach.

TL;DR: In this paper , the authors used the second-generation econometric methodological framework of panel data to solve the problems of transnational heterogeneity and cross-sectional dependence to analyze the nexus between renewable energy consumption, population aging, and decoupling economic growth from ecological footprint.

TL;DR: In this article , a hyphenated method involving membrane filtration and surface-enhanced Raman spectroscopy (SERS) was proposed to analyze trace nanoplastics in water.